Role Overview

We are seeking a technically strong Global Partner System Specialist to design, implement, and optimize partner-facing systems and operational processes. This role sits within the Global Partner Program and Strategy team and operates at the intersection of business and technology, bringing deep expertise in PRM management and CRM architecture and development. The primary focus is on PRM platforms, Salesforce, system integrations (including learning management and badging platforms), and partner data architecture supporting the global partner ecosystem.

You will administer and maintain partner systems, ensuring performance, scalability, and data integrity. This includes troubleshooting complex system and integration issues, partnering with technical teams to resolve defects, and helping to design and execute test plans (including taking the lead on regression testing) to validate enhancements. You will translate business requirements into scalable technical solutions, develop user and system documentation, and support change management efforts by creating enablement material, communicating updates, and driving adoption of new features and workflows—ultimately enabling a seamless, data-driven partner experience and improving efficiency across the partner lifecycle.

Key Responsibilities

1. Systems Design & Integration

• Architecture: Translate business needs into technical user stories and scalable system designs.

• Integrations: Build and maintain data flows between Salesforce, Impartner PRM, and learning platforms (LMS) for certifications, deal registrations, and badging.

• Lifecycle Management: Lead configuration, testing, and deployment of system enhancements.

2. Data Governance & Analytics

• Integrity: Maintain a high standard of data consistency across all partner platforms.

• Reporting: Design dashboards in Tableau and Salesforce to track partner performance, pipeline visibility, and portal engagement.

3. Quality Assurance & Support

• Testing: Own end-to-end test plans and lead regression testing for system releases.

• Technical Support: Troubleshoot complex integration issues and coordinate with developers for defect resolution.

• User Enablement: Manage user provisioning, create technical documentation, and drive platform adoption.

4. Operational Excellence

• Workflows: Optimize partner onboarding, agreement management, and deal registration processes.

• Continuous Improvement: Identify automation opportunities to improve operational efficiency and partner experience.

Qualifications

Required Skills & Experience

• 5+ years of experience in systems-focused roles such as Business Analyst, Systems Analyst, or Technical Partner Operations within a SaaS or technology environment.
• Deep hands-on experience with partner data across CRM (Salesforce) and PRM (Impartner) systems
• Strong understanding of system integrations, APIs, and data flows across enterprise platforms, including learning management systems (Cornerstone & Skilljar)
• Proven ability to translate business requirements into technical solutions and system configurations as well as test, troubleshoot, and request enhancements to partner systems
• Experience participating in the full partner system lifecycle: requirements, design, testing, deployment, and support.
• Advanced analytical and problem-solving skills with a focus on scalable solutions.
• Strong communication skills bridging technical and non-technical stakeholders.

Preferred Qualifications

• Experience with IMpartner
• Familiarity with deal registration and marketing development fund administration
• Hands-on experience with:
  • Tableau or similar BI tools
  • DocuSign, Conga/Apttus
  • Google Workspace
• Experience with data modeling, reporting frameworks, and dashboard design.
• Understanding of partner ecosystem at a SaaS technology company

#LI-Onsite

P25173_3437176

At Okta, partners are central to our success. The Global Partner Program team equips partners with the tools, resources, and operational support needed to build successful and profitable Okta practices.

Okta is seeking a Manager, Global Partner Program Operations to lead and scale the team responsible for all global partner program operations. This leadership role focuses on defining and optimizing critical operational processes, ensuring data integrity, and providing strategic oversight for all partner-facing systems, including the partner portal and key program operations. The Manager will hire, mentor, and guide a team of operations specialists to deliver a best-in-class, seamless experience for partners and internal stakeholders. The ideal candidate is a proven leader who can define strategic initiatives, drive continuous improvement, and manage complex, cross-functional operations in a high-growth environment.

The ideal candidate is highly organized, detail-oriented, and comfortable working in a fast-paced environment while supporting both partners and internal teams.

Key Responsibilities

Team Leadership and Development

• Lead, mentor, and manage a team of Global Partner Program Operations Specialists, including performance management, coaching, and career development.
• Define team priorities, allocate resources effectively, and establish Key Performance Indicators (KPIs) to ensure operational excellence and team efficiency.
• Recruit, onboard, and train new team members as the organization scales.

Program Operational Strategy & Optimization

• Define and optimize the end-to-end operational processes for the Global Partner Program, focusing on scalability, compliance, and efficiency.
• Oversee the seamless execution of high-volume, day-to-day partner operations, including partner onboarding, coordinating partner due diligence with Finance and Partner Sales teams, and managing partner agreement processing.
• Establish best practices for managing inbound support queues and ensure high-quality, timely resolution of complex partner and internal inquiries related to program structure, benefits, and resources and leverage AI where appropriate.
• Drive continuous process improvements for critical functions like Deal Registration operations and the creation of Letters of Authorization (LOAs).
• Oversee support for distribution partners with onboarding their resellers in accordance with program requirements.
  
  

Systems, Data Integrity & Reporting

• Partner with systems team to create and maintain operational integrity of all partner systems, including Salesforce, Conga, DocuSign, and the Partner Relationship Management (PRM) platform.
• Oversee the team’s efforts in maintaining accurate partner data integrity across internal systems, partner portals, and partner locator tools.
• Develop and manage reporting dashboards to track operational performance, compliance requirements, and the overall health of the partner ecosystem.

Required Skills and Experience

• 5+ years of progressive experience in partner operations, channel operations, or partner program management, preferably within SaaS or technology.
• 2+ years of direct experience managing and mentoring a team or leading complex cross-functional projects.
• Demonstrated ability to define, implement, and scale complex operational processes across global teams.
• Deep understanding and hands-on experience with core partner systems (e.g., Salesforce and a PRM platform like Impartner).
• Exceptional leadership, communication, and interpersonal skills with a proven ability to collaborate effectively with cross-functional executive stakeholders (e.g., Sales, Finance, Legal) and external partners.
• Advanced analytical and strategic thinking capabilities, with the ability to translate operational metrics into actionable business strategies.
• Strong organizational skills, high attention to detail, and sound judgment in a fast-paced environment.

Preferred Qualifications

Experience with:

• Advanced experience using and administering Salesforce (SFDC) and Partner Relationship Management platforms (e.g., Impartner)
• Proven experience managing vendor relationships for operational tools
• Expertise in data analysis and reporting using tools like Tableau or similar reporting tools
• Familiarity with agreement and data management tools such as Conga/Apptus and DocuSign
• Experience with Google Workspace.

#LI-Onsite

P25171_3437178

At Okta, partners are central to our success. The Global Partner Program team equips partners with the tools, resources, and operational support needed to build successful and profitable Okta practices.

Okta is seeking a Manager, Global Partner Sales Desk to support the transactional sales cycle and manage critical deal flow operations. This role ensures a seamless and efficient sales process by executing deal registration validation, maintaining CRM data quality, and handling quoting and purchase order (PO) processes.

The ideal candidate is highly organised, detail-oriented, and comfortable working in a fast-paced environment while supporting both partners and internal teams.

Key Responsibilities

Team Leadership and Development

• Lead, mentor, and manage a team of Global Partner Sales Desk Specialists and Cloud Desk Specialists, including performance management, coaching, and career development.
• Define team priorities, allocate resources effectively, and establish Key Performance Indicators (KPIs) to ensure operational excellence and team efficiency.

• Manage global team capacity and coverage to ensure all transactional service level agreements (SLAs) are consistently met.
• Recruit, onboard, and train new team members as the organization scales.

Program Operational Strategy & Optimization

• Define and optimize the end-to-end operational processes for the Global Partner Sales Desk, focusing on scalability, compliance, and efficiency and leverage AI wherever possible.
• Oversee the seamless execution of high-volume, day-to-day partner sales desk operations, including Deal Registration and validation, CRM hygiene, Quoting and PO issuance and troubleshooting issues.  
• Develop and maintain comprehensive, up-to-date documentation and training materials for all Partner Sales Desk processes for the internal team and key cross-functional stakeholders.
• Work with Global Partner Program Operations team to establish best practices for managing inbound support queues and ensure high-quality, timely resolution of complex partner and internal inquiries related to Deal Registration process.  
• Drive continuous process improvements for critical functions to support Partner Sales and ensure timely.
• Collaborate with IT teams to define and prioritize system enhancements in core platforms (e.g., Salesforce, PRM) to improve partner sales desk efficiency, scalability, and the overall partner experience.
• Monitor, analyze, and report on operational metrics to identify trends, performance gaps, and opportunities for cost reduction or efficiency gains.

Required Skills and Experience

• 5+ years of progressive experience in partner sales operations or channel sales operations preferably within SaaS or technology.
• 2+ years of direct experience managing and mentoring a team or leading complex cross-functional projects.
• Demonstrated ability to define, implement, and scale complex operational processes across global teams.
• Deep understanding and hands-on experience with core partner systems (e.g., Salesforce and a PRM platform like Impartner).
• Exceptional leadership, communication, and interpersonal skills with a proven ability to collaborate effectively with cross-functional executive stakeholders (e.g., Sales, Finance, Legal) and external partners.
• Advanced analytical and strategic thinking capabilities, with the ability to translate operational metrics into actionable business strategies.
• Strong organizational skills, high attention to detail, and sound judgment in a fast-paced environment.

Preferred Qualifications

Experience with:

• Advanced experience using and administering Salesforce (SFDC) and Partner Relationship Management platforms (e.g., Impartner)
• Expertise in data analysis and reporting using tools like Tableau or similar reporting tools
• Familiarity with agreement and data management tools such as Conga/Apptus and DocuSign
• Experience with Google Workspace

#LI-Onsite

P25172_3437184

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.

What you'll do

• Collect, process, and analyze large datasets from multiple sources
• Build and deploy machine learning models to solve business problems
• Design and implement A/B tests and statistical analyses
• Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements
• Communicate complex data insights in a clear and actionable manner to stakeholders
• Develop dashboards and visualizations to monitor key metrics
• Stay current with the latest trends and technologies in data science and AI

What we're looking for

• Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
• 4+ years of proven experience as a Data Scientist or Data Analyst
• Strong knowledge of Python/R and SQL
• Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
• Experience with big data tools (e.g., Spark, Hadoop)
• Familiarity with data visualization tools
• Strong analytical, problem-solving, and communication skills

While not required, these are a plus:

• Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)
• Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

Rocket Growth (RG) is Coupang’s fulfilment business that empowers sellers to provide customers with best-in-class delivery and post-purchase experiences.

As one of Coupang’s fastest-growing teams, RG has an ambitious roadmap of innovative products and features. We are looking for driven individuals who thrive on solving complex problems and collaborating with talented peers to shape the future of e-commerce.

A Staff Data Analyst works on projects related to the quality, availability, and depth of data needed by Coupang to make business decisions. This person will use their deep expertise in SQL, data ETL development, and data integrity to ensure that necessary information is available for all levels of analysis at Coupang. Additionally, this person will contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from Growth Marketing and other business units, and help less senior data analysts with their development.

What You Will Do

• Leads projects related to the quality, availability, and depth of data needed by Coupang to make business decisions. 
• Use their deep expertise in SQL, data ETL development, and data integrity to ensure that necessary information is available for all levels of analysis at Coupang. 
• Contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from Growth Marketing and other business units, and help senior data analysts with their development.
• Own and drive critical decision-making across a range of ambiguous business problems using data.
• Structure and analyze large datasets, define constraints and parameters, and develop decision models.
• Run simulations and optimization analyses to improve business outcomes and support strategic decisions.
• Challenge existing processes and propose data-backed improvements.
• Translate insights into actionable recommendations and influence stakeholders across functions.
• Collaborate with diverse teams to align on goals and deliver impactful solutions.

 Basic Qualifications:  

• 8+ years of relevant working experience in a data analytics role
• Proficiency in Excel, SQL and Python/R for data extraction, manipulation and analysis
• Strong knowledge of data visualization (PowerBI, Tableau or other tools) and data storytelling to communicate insights effectively to non-experts
• Business-level fluency in English

Preferred Qualifications:

• Experience with data engineering tools such as GitHub and Airflow
• Strong knowledge of statistics, ML techniques
• Previous experience in e-commerce, logistics, or AdTech companies

Type of work model

Hybrid

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.  

Details to consider 

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.  

Privacy Notice 

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/  

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

Rocket Growth (RG) is Coupang’s fulfilment business that empowers sellers to provide customers with best-in-class delivery and post-purchase experiences.

As one of Coupang’s fastest-growing teams, RG has an ambitious roadmap of innovative products and features. We are looking for driven individuals who thrive on solving complex problems and collaborating with talented peers to shape the future of e-commerce.

A Staff Data Analyst works on projects related to the quality, availability, and depth of data needed by Coupang to make business decisions. This person will use their deep expertise in SQL, data ETL development, and data integrity to ensure that necessary information is available for all levels of analysis at Coupang. Additionally, this person will contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from Growth Marketing and other business units, and help less senior data analysts with their development.

What You Will Do

• Leads projects related to the quality, availability, and depth of data needed by Coupang to make business decisions. 
• Use their deep expertise in SQL, data ETL development, and data integrity to ensure that necessary information is available for all levels of analysis at Coupang. 
• Contribute to analytics projects designed to help drive Coupang's growth, support specific initiatives from Growth Marketing and other business units, and help senior data analysts with their development.
• Own and drive critical decision-making across a range of ambiguous business problems using data.
• Structure and analyze large datasets, define constraints and parameters, and develop decision models.
• Run simulations and optimization analyses to improve business outcomes and support strategic decisions.
• Challenge existing processes and propose data-backed improvements.
• Translate insights into actionable recommendations and influence stakeholders across functions.
• Collaborate with diverse teams to align on goals and deliver impactful solutions.

 Basic Qualifications:  

• 8+ years of relevant working experience in a data analytics role
• Proficiency in Excel, SQL and Python/R for data extraction, manipulation and analysis
• Strong knowledge of data visualization (PowerBI, Tableau or other tools) and data storytelling to communicate insights effectively to non-experts
• Business-level fluency in English

Preferred Qualifications:

• Experience with data engineering tools such as GitHub and Airflow
• Strong knowledge of statistics, ML techniques
• Previous experience in e-commerce, logistics, or AdTech companies

Type of work model

Hybrid

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.  

Details to consider 

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.  

Privacy Notice 

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/  

This is a hybrid role. At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.

WHAT YOU'LL DO:

• Campaign Strategy & Execution:Collaborate with the Direct Mail Lead to define the DM calendar, prioritize projects, and ensure seamless campaign coordination.

Performance Analysis & Optimization:

• Implement robust attribution measurement methodologies (MTA, Matchback) to accurately assess campaign impact.
• Monitor key performance indicators (KPIs) to track campaign effectiveness and identify areas for improvement.
• Analyze large datasets to uncover trends, patterns, and insights that drive data-driven decision-making.
• Conduct in-depth analysis to understand the long-term impact of DM spend on the business, including influence on account originations.
• Provide data-driven recommendations to optimize campaigns, maximize ROI, and achieve business objectives.
• Project Management & Reporting:
• Oversee end-to-end campaign management, ensuring accuracy and efficiency from inception to deployment and analysis.
• Develop and maintain robust data collection and analysis processes to support reporting and decision-making.
• Create comprehensive reports and presentations to effectively communicate findings and insights to stakeholders.
• Clearly communicate complex data analysis to both technical and non-technical audiences.

WHAT WE LOOK FOR:

• Bachelor's degree in STEM, Business Analytics, Statistics, or a related field.
• 6+ years of experience in Business Analytics/Marketing Analytics/Sales Analytics
• Proficiency in data analysis tools and techniques (e.g., SQL, Excel, Python, Google Analytics, Tableau).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.

Technical Skills:

• SQL (Advanced) — 4+ years of hands-on experience
• Tableau — 4+ years of hands-on experience 
• Python (preferred)

Who We Are: 

Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.

The Challenge

We are seeking a proactive and meticulous Investigations Analyst to join our Information Security team. In this pivotal role, you will conduct complex investigations into insider threats, game cheating, and other threat actor activities to keep our games and services secure. You will be responsible for identifying critical information gaps, maintaining refined threat profiles, and harnessing open-source intelligence. A key part of your mission will be to collect, preserve, and analyze digital evidence following industry best practices, while also creating automated monitors and detailed reports suitable for technical and executive audiences. You will build a culture of continuous improvement, helping to refine investigative playbooks and methodologies to adapt to emerging threats and attack techniques. This role is ideal for an established information security professional seeking to expand their horizons, who thrives on challenging investigative work, and can consistently enforce a high standard of precision and discipline in the defense against all threat actors.

What You’ll Take On:

• Conduct investigations of insider threats, game cheaters, and in-game harassment
• Provide investigative support to Legal, HR, IT and other Information Security teams
• Identify information sources and critical gaps
• Identify new opportunities for detection
• Maintain case files on potential threat actors
• Maintain and refine threat profiles and adapt to newly-identified threat model
• Create automated monitors, alerts, and dashboards in support of the investigations program
• Develop reports suitable for technical and executive audiences
• Propose and refine playbooks and standard operating procedures
• Stay current with emerging threats and attack techniques
• Refine manual investigation methodologies
• Automate repetitive investigation tasks
• Collect, preserve, and analyze digital evidence following industry best practices (NIST SP 800-61)
• Maintain chain of custody for all digital evidence
• Assist in responding to emergency situations like security incidents
• Provide investigative and record-keeping support to the DFIR team
• Identify and work to fill knowledge and skill gaps
• Maintain an Individual Development Plan with management
• Participate in tabletop exercises and simulations to enhance team readiness

What you Bring:

• 3+ years of hands-on experience in information security operations, digital forensics, threat intelligence, or incident response
• Experience with digital forensics tools such as EnCase, The Sluethkit, Magnet Forensics, etc
• Strong background in intelligence gathering, monitoring and reporting
• Experience conducting various types of investigations
• Experience with data warehouses such as DataBricks or Redshift
• Experience with relational databases such as Postgres or MySQL
• Experience automating processes with languages such as Python or Go
• Strong written and verbal communication skills
• Ability to present technical findings to non-technical stakehold
• Industry-standard certifications related to Forensic Investigations and threat intelligence (GCFA, GCFE, GCIH, GOSI, GCTI, eCIR, eCDFP or PORP) are a plus
• Experience with Business Intelligence, Cyber Threat Intelligence and Link analysis platforms (Tableau, OpenCTI, MISP, Maltego) are a plus

What we offer you:

• Great Company Culture. We pride ourselves as being one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
• Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
• Work Hard, Enjoy Life. Our employees’ bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, our Office gaming spaces, game release events, monthly socials, and team challenges.
• Benefits. Benefits include, but are not limited to; Discretionary bonus, Provident fund contributions, 1+5 medical insurance + top up options and access to Practo online Doctor consultation App, Employee assistance program, 3X CTC Life Assurance, 3X CTC Personal accident insurance, childcare services, 20 days holiday + statutory holidays,
• Perks. Gym reimbursement up to INR1150 per month, wellbeing program with the chance to earn up to $93 per annum, charitable giving program, access to learning platforms, employee discount program’s plus free games and events!

Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com.*

As an equal opportunity employer, Take-Two Interactive Software, Inc. (“Take-Two”) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Two’s equal opportunity commitment, please contact Careers@take2games.com.

#LI-Hybrid

Sr Analyst, Field Analytics

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth.

You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy.

Job Duties & Responsibilities:

• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization.
• Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.
• Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible.
• AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.
• Global Collaboration: Work cross-functionally with Field Operations, Business Systems, and Data & Insights teams to capture requirements and deliver technical solutions that support our go-to-market initiatives

Required Skills & Qualifications: 

• 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model.
• Technical Stack Expertise in SQL (Snowflake), BI Visualization tool (Tableau), and CRM data (Salesforce)
• Practical experience using Generative AI (e.g., GPT, Gemini, or GitHub Copilot) to improve technical productivity.
• A strong "documentation-first" mindset with the ability to create clear, concise technical and functional manuals.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global team.
• Proven ability to translate complex data logic into clear, concise narratives.

Preferred Qualifications: 

• Proficiency with scripting (python) & data modeling (dbt) 
• Deep understanding of enterprise software sales processes, field operations, and cross functional GTM mechanics.
• Proven ability to operate independently within a global model, taking complex requirements from US-based stakeholders, execute high-quality technical work during India business hours, and provide comprehensive handoffs that allow projects to progress 24/7 without real-time oversight.

#LI-Hybrid

#P24939

The Opportunity:

Are you a data-driven storyteller with a passion for transforming raw information into actionable insights that drive tangible business outcomes? Do you thrive on collaborating directly with business stakeholders to understand their needs and then architecting elegant data solutions? If so, we have an exciting opportunity for a highly skilled and motivated Manager-level Business Analytics to join our growing team in Bangalore. In this role, you will be instrumental in empowering our business users with the data and visualizations they need to make informed decisions, analyze and drive improvements to our Finance operational performance, business decisions, and strategy. You will drive the analytics lifecycle, from initial consultation to the delivery of impactful dashboards and data sets.

What You'll Do:

• Strategic Alignment: Drive cross-functional alignment and prioritization of Finance analytics initiatives to generate actionable insights and tangible business improvements.
• Become a Trusted Advisor: Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions.
• Consultative Analysis: Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs).
• Data Architecture & Design: Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity.
• Enterprise Partnership & Analytics Foundations: Partner with the Enterprise Data & Insights team to align Finance with company-wide data standards and policies while developing the foundational infrastructure and capabilities of the Finance Analytics function.
• Expert Tableau Development: Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends. Establish visualization best practices and storying and enable Finance report builders to adopt them.
• Data Wrangling & Transformation: Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our analytics platforms.
• End-to-End Ownership: Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance.
• Drive Data Literacy: Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes.
• Stay Ahead of the Curve: Continuously explore new data visualization techniques, analytical methodologies, data technologies, and AI capabilities for interactive analytics to enhance our analytics capabilities.
• Collaborate and Communicate: Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals.
• Data Governance & Quality: Champion data accuracy, consistency, and integrity across Finance, driving robust governance and maintaining core foundations such as the reporting inventory, structure, access, and data dictionary.
• Performance Monitoring & Iteration: Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement.
• Documentation & Training: Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools.

What You'll Bring:

• 8+ years of experience in a Business Analytics, Data Analytics, or similar role with increasing responsibility.
• Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions.
• Expert-level proficiency in Tableau, including advanced calculations, parameters, actions, and performance optimization.
• Strong hands-on experience in building and optimizing data sets for Tableau.
• Solid experience with data integration tools, preferably Fivetran, and the ability to design and implement data pipelines.
• Proficiency in Python for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas).
• Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift.
• Advanced SQL skills for data extraction, transformation, and querying.
• AI literate, experience with traditional and generative AI. 
• Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks.
• Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively.
• Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders.
• Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus).

Bonus Points For:

• Experience in SaaS software industry is highly preferred.
• Experience with other data visualization tools (e.g., Power BI, Looker).
• Familiarity with cloud-based data platforms (e.g., BigQuery).
• Familiarity with basic statistical concepts and methodologies is a plus.

This role is hybrid, with the expectation of working from our local office on specified days based on local expectations. We will continuously assess this arrangement, and it may be subject to change based on business needs and evolving circumstances.

#LI-Hybrid

P22262_3137714

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you. 

The Data Enablement Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.

The Senior Data Analyst Opportunity

Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.

You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.

What you’ll be doing 

• Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
• Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
• Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
• Deliver executive dashboards and product insights based on foundational productionalized data models
• Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
• Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

What you’ll bring to the role

• 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
• 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
• 5+ years of SQL experience
• Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
• Experience working within a Jira/Agile environment to manage and prioritize technical work.
• Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
• Excellent business acumen and emotional intelligence in ambiguous environments
• BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable

And extra credit if you have experience in any of the following!    

• Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
• Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
• Experience with version control systems (e.g., Git) and the Pull Request process.
• Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
• Paywall, subscription or authentication based products

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#Hybrid_Bengaluru

#LI_Linkedin P24588_3405678

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you. 

The Data Enablement Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.

The Senior Data Analyst Opportunity

Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.

You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.

What you’ll be doing 

• Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
• Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
• Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
• Deliver executive dashboards and product insights based on foundational productionalized data models
• Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
• Ensure that data privacy and governance is a first priority at all stages of the data lifecycle

What you’ll bring to the role

• 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
• 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
• 5+ years of SQL experience
• Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
• Experience working within a Jira/Agile environment to manage and prioritize technical work.
• Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
• Excellent business acumen and emotional intelligence in ambiguous environments
• BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable

And extra credit if you have experience in any of the following!    

• Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
• Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
• Experience with version control systems (e.g., Git) and the Pull Request process.
• Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
• Paywall, subscription or authentication based products

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#Hybrid_Bengaluru

#LI_Linkedin P24589_3405679

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

**This is a hybrid position that requires 2 days per week in office at our Bangalore location**

Reporting to Sr Director, The PMO Analyst will be working closely with project/team leads across multiple functions and regions, the PMO Analyst will administer core PMO tools, maintain key reports and dashboards, and help ensure that project and portfolio information is accurate, timely and accessible. This role suits someone detail oriented who enjoys working with data, has excellent knowledge and experience of PMO tools/systems and is ready to embrace AI and automation within PMO.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Administer and support core PMO tools, including PSA and related platforms/integrations (e.g. SuiteProjects Pro/OpenAir, Wrike, Salesforce, ADP) in line with agreed standards.
•  Build, maintain and improve operational and portfolio reports and dashboards using BI and associated tools (e.g. Power BI, Databricks, Excel, AI & automation tools).
•  Produce regular project and portfolio reporting for PMO, Ops and global leadership teams, ensuring data is accurate, consistent and clearly presented.
•  Support tracking of portfolio health, risks, issues, utilization and capacity, highlighting trends or anomalies for further review.
•  Monitor and govern adherence to agreed PMO processes and templates, and work with PMs and functional teams to resolve basic process or data issues.
•  Contribute to continuous improvement by suggesting enhancements to tools, reports and processes, including opportunities for automation and AI-assisted efficiency.
•  Act as a helpful point of contact for PMO tooling and reporting queries, working effectively across time zones.
•  Contribute to building a modern, AI-enabled PMO capability.
• Act as the go-to expert for PMO tooling, supporting users and resolving data/process issues.
• Go beyond reporting: highlight trends, risks, and actionable insights (capacity issues, utilization trends, delivery risks).

   WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• Bachelor’s degree in business, Information Systems, Engineering, Mathematics or a related field.
• 3–7 years’ experience in PMO, reporting, business analysis, operations or similar data/analytics-oriented roles.
• Experience in a professional services, SaaS or technology implementation environment is advantageous.
• Strong Excel skills (formulas, pivot tables, lookups, basic modelling).
• Practical experience with BI/reporting tools (e.g. Power BI, Tableau or similar).
• Experience with PSA or PPM tools and a good understanding of project, resource and time-entry data (e.g. SuiteProjects Pro, Wrike etc).
• Familiarity with CRM tools (e.g. Salesforce) is an advantage.
• Strong knowledge of and interest in AI tools, automation trends & innovations (particularly Copilot)
• Experience working in or alongside a PMO, project support, reporting or business operations function.
• You will own the integrity, usability, and evolution of PMO data, reporting, and tooling, ensuring leadership has accurate, timely, and actionable insights.
• Understanding basic project management concepts such as agile, waterfall, full project lifecycle, RAID, status reporting, change control etc.
• Able to work across multiple projects simultaneously and pivot to new initiatives at short notice as required.
• High attention to detail and strong focus on data accuracy and completeness.
• Excellent written and verbal communication skills (English)
• Ability to work independently, manage multiple tasks, and meet deadlines in a global, remote setting.
• Proactive mindset: identifies problems and drives solutions, not just reports them.
• Confident working with stakeholders across functions and seniority levels.

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

Retail and Selection is the engine behind Coupang’s massive product catalog, ensuring we offer the right products at the right price with the best availability. As we scale, the complexity of managing millions of SKUs and thousands of vendor relationships grows exponentially.
We are looking for a Staff Data Analyst to join the Retail and Selection team. In this role, you will be the technical architect of our data strategy, transforming raw market signals and internal metrics into a competitive advantage. You will work on projects that define the quality, availability, and depth of data needed to optimize our selection, pricing, and inventory health. You will use your deep expertise in SQL, ETL development, and data integrity to ensure Coupang’s leadership has the insights needed to dominate the retail landscape.

What You Will Do

• Data Strategy & Governance: Lead high-impact projects to improve the quality and depth of selection data, ensuring "source of truth" reliability for multi-billion dollar business decisions.
• Pipeline & ETL Mastery: Architect and maintain robust data ETL processes to integrate disparate signals from market trends, vendor performance, and customer demand.
• AI & Prompt Engineering: Leverage Large Language Models (LLMs) and advanced prompt engineering to automate catalog categorization, extract insights from unstructured vendor data, and accelerate internal analytical workflows.
• Knowledge Management: Own and evolve the Retail Team Knowledge Base, ensuring that technical documentation, data dictionaries, and business logic are centralized, searchable, and up-to-date for Data Analysis using AI tools.
• Business Empowerment: Support the onboarding of business users, designing training programs and self-service dashboards that enable Category Managers and Vendors to make data-driven decisions independently.
• Advanced Decision Modeling: Structure large-scale datasets to build decision models for SKU rationalization, automated replenishment, and competitive benchmarking.
• Optimization & Simulation: Run complex simulations to predict the impact of selection changes on customer retention and long-term profitability.
• Stakeholder Influence: Translate complex analytical findings into clear, actionable narratives for executive stakeholders across Retail and Supply Chain teams.
• Mentorship: Act as a technical beacon for the analytics community, guiding senior and junior analysts in their technical development and problem-solving frameworks.

Basic Qualifications

• Experience: 5+ years of relevant working experience in a data analytics or business intelligence role.
• Technical Stack: Expert-level proficiency in SQL and Python/R for data extraction and manipulation.
• AI Proficiency: Practical experience with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Visualization: Mastery of data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to non-experts.
• Communication: Business-level fluency in English with a proven ability to teach and onboard non-technical business users.

Preferred Qualifications  

• Data Engineering: Hands-on experience with version control (GitHub) and workflow orchestration tools like Airflow.
• Content & Documentation: Experience managing internal wikis (e.g., Confluence, Notion) or building structured knowledge bases for large organizations.
• Domain Expertise: Previous experience in Retail, E-commerce selection management, or Demand Forecasting.
• Quantitative Depth: Strong knowledge of statistics and ML techniques (e.g., elasticity modeling, clustering for customer segmentation).

Type of work model 

• Hybrid 
  
  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

Retail and Selection is the engine behind Coupang’s massive product catalog, ensuring we offer the right products at the right price with the best availability. As we scale, the complexity of managing millions of SKUs and thousands of vendor relationships grows exponentially.
We are looking for a Staff Data Analyst to join the Retail and Selection team. In this role, you will be the technical architect of our data strategy, transforming raw market signals and internal metrics into a competitive advantage. You will work on projects that define the quality, availability, and depth of data needed to optimize our selection, pricing, and inventory health. You will use your deep expertise in SQL, ETL development, and data integrity to ensure Coupang’s leadership has the insights needed to dominate the retail landscape.

What You Will Do

• Data Strategy & Governance: Lead high-impact projects to improve the quality and depth of selection data, ensuring "source of truth" reliability for multi-billion dollar business decisions.
• Pipeline & ETL Mastery: Architect and maintain robust data ETL processes to integrate disparate signals from market trends, vendor performance, and customer demand.
• AI & Prompt Engineering: Leverage Large Language Models (LLMs) and advanced prompt engineering to automate catalog categorization, extract insights from unstructured vendor data, and accelerate internal analytical workflows.
• Knowledge Management: Own and evolve the Retail Team Knowledge Base, ensuring that technical documentation, data dictionaries, and business logic are centralized, searchable, and up-to-date for Data Analysis using AI tools.
• Business Empowerment: Support the onboarding of business users, designing training programs and self-service dashboards that enable Category Managers and Vendors to make data-driven decisions independently.
• Advanced Decision Modeling: Structure large-scale datasets to build decision models for SKU rationalization, automated replenishment, and competitive benchmarking.
• Optimization & Simulation: Run complex simulations to predict the impact of selection changes on customer retention and long-term profitability.
• Stakeholder Influence: Translate complex analytical findings into clear, actionable narratives for executive stakeholders across Retail and Supply Chain teams.
• Mentorship: Act as a technical beacon for the analytics community, guiding senior and junior analysts in their technical development and problem-solving frameworks.

Basic Qualifications

• Experience: 5+ years of relevant working experience in a data analytics or business intelligence role.
• Technical Stack: Expert-level proficiency in SQL and Python/R for data extraction and manipulation.
• AI Proficiency: Practical experience with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Visualization: Mastery of data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to non-experts.
• Communication: Business-level fluency in English with a proven ability to teach and onboard non-technical business users.

Preferred Qualifications  

• Data Engineering: Hands-on experience with version control (GitHub) and workflow orchestration tools like Airflow.
• Content & Documentation: Experience managing internal wikis (e.g., Confluence, Notion) or building structured knowledge bases for large organizations.
• Domain Expertise: Previous experience in Retail, E-commerce selection management, or Demand Forecasting.
• Quantitative Depth: Strong knowledge of statistics and ML techniques (e.g., elasticity modeling, clustering for customer segmentation).

Type of work model 

• Hybrid 
  
  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Job Title: Senior Data Analyst

Role Overview

We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams.

Key Responsibilities

• Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries.
• Engage with clients and business stakeholders to understand business context, objectives, and challenges.
• Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams.
• Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports.
• Develop, publish, and maintain interactive dashboards and visualizations to support business decision-making.
• Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders.
• Collaborate closely with Data Engineering teams by providing clear and detailed requirements.
• Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery.
• Perform quality checks (QC) and validation of reports and dashboards before client delivery.
• Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation.
• Maintain proper documentation for dashboards, metrics, data logic, and business rules.
• Track work items, enhancements, and issues using JIRA.

Mandatory Skills & Requirements (Must-Have)

• Strong hands-on experience with Tableau (mandatory), including:
• Dashboard development and publishing
• Calculated fields, filters, parameters, and LOD calculations
• Data blending and joins
• Row-Level Security (RLS) implementation
• Replacing and managing data sources
• Experience with Snowflake (mandatory) as a primary data warehouse.
• Ability to perform QC checks and validation on dashboards and reports.
• Proficiency in SQL for data extraction, transformation, and analysis.
• Experience in preparing MoM, requirement documents, and functional documentation.
• Hands-on experience working with JIRA for task tracking and project management.

Desired Skills & Competencies

• Experience with other BI tools such as Power BI (added advantage).
• Strong analytical and problem-solving skills with the ability to handle complex business problems.
• Proven experience interacting with clients and business stakeholders for requirement gathering and solution design.
• Strong communication skills with the ability to present insights clearly through effective storyboarding and data narratives.
• Ability to work independently while managing multiple stakeholders and priorities.

Education & Experience

• 3–6 years of relevant analytics experience with a strong focus on problem-solving and advanced BI solutions.
• Bachelor’s degree in B.E., B.Tech, or an equivalent discipline.

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

About the Role:

We are looking for a Senior Data Analyst who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.

More specifically, you will: 

• Engage with clients to understand their business context
• Understand business processes and map the complete process in visual formats.
• Translate business problems into analytical structures and solve using statistical/ML techniques
• Manage a team of data analysts to deliver solutions for clients.
• Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. 

Desired Skills & Competencies:

• Developing and enhancing algorithms and models to solve business problem.
• Providing end-to-end analysis support across different industry domains and application areas.
• Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)
• Conducting quantitative analyses and interpreting results
• Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any).
• Proficient in MS SQL Database.
• Python knowledge is good to have.
• Strong analytical and problem-solving skills.

• Storyboarding, Client Interaction is a value addition.

Education & Desired Experience

• 3 - 6 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions
• B.E, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.

Business Insights and Analytics (BA/SBA)

About Sigmoid:

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

An ideal person will come with a good mix of experience in developing complex business intelligence dashboards and provide insights. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. 

Responsibilities Include

• Design, build and deploy scalable BI solutions with Insights based on the client requirements.

• Participate in client calls to understand the technical requirements, challenges as well as understand the business problem

• Document SOPs, project work in a timely and effective manner.

• Drive deep insights and analysis, beyond the obvious, to add business value

• Identify ways to improve performance of existing dashboards, queries, architecture 

• Adhere to delivery, quality metrics and internal governance

• Work independently with minimal to no guidance from the BIA leaders

• This role will require working on multiple engagements in parallel 

Experience and Qualifications

• 8 years (max) of overall experience in Business Intelligence and Data Analytics.

• Strong technical background in BI tools like Power BI, Tableau, Qlik etc.

• Strong technical knowledge of SQL, ETL 

• Ability to engage with clients, from both business and technical functions, understand their work and decision flows, requirement for reporting, insights and decision support

• Highly analytical with the ability to collate, analyze and present data and drive clear and actionable insights

• Experience working in multiple domains like BFS, CPG, Supply Chain, Manufacturing and Marketing domains are a plus.

• Strong problem-solving skills and ability to prioritize conflicting requirements.

• Excellent written and verbal communication skills.

Business Insights and Analytics (BA/SBA/AM) 

About Sigmoid: 

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. 

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. 

An ideal person will come with a good mix of experience in developing complex business intelligence dashboards and provide insights. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. 

Responsibilities 

• Architect, develop, and deploy scalable Data solutions that transform complex data into actionable insights aligned with client objectives. 
• Lead client discussions to translate business challenges into robust technical solutions, clearly understanding both functional and strategic requirements. 
• Deliver deep analytical insights that go beyond surface-level reporting to drive measurable business value and informed decision-making. 
• Optimize and enhance existing dashboards, queries, and data architectures to improve performance, usability, and scalability. 
• Create and maintain comprehensive SOPs and project documentation with accuracy and timeliness.
• Ensure adherence to delivery timelines, quality benchmarks, and internal governance standards.
• Operate independently with minimal supervision while managing multiple parallel engagements effectively. 

Experience and Qualifications 

• 5–8 years of hands-on experience in Business Intelligence and Data Analytics. 
• Strong understanding of data and data modelling, enabling the design of scalable, efficient, and business-aligned data architectures. 
• Exposure to BI tools such as Power BI, Tableau, and Qlik. 
• Advanced proficiency in SQL, and Semantic Layer design. 
• Demonstrated ability to engage with cross-functional stakeholders (business and technical), understand decision flows, and translate reporting needs into impactful insights. 
• Highly analytical mindset with proven capability to synthesize data into clear, compelling, and actionable recommendations. 
• Exposure to diverse domains such as BFS, CPG, Supply Chain, Manufacturing, and Marketing is an advantage. 
• Strong problem-solving skills with the ability to manage competing priorities in dynamic environments.
• Excellent written and verbal communication skills, with the ability to present insights confidently to stakeholders. 

Good to Have 

• Experience designing Gold layers and Semantic layers within modern data architectures.
• Familiarity with AI-driven conversational chatbots and intelligent reporting assistants. 
• Exposure to AI-powered control towers and advanced monitoring solutions.

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

About the Role:

We are looking for a Lead Data Analyst who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.

More specifically, you will:

• Engage with clients to understand their business context
• Understand business processes and map the complete process in visual formats.
• Translate business problems into analytical structures and solve using statistical/ML techniques
• Manage a team of data analysts to deliver solutions for clients.
• Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. 

Desired Skills &Competencies:

• Developing and enhancing algorithms and models to solve business problem.
• Providing end-to-end analysis support across different industry domains and application areas.
• Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations).
• Conducting quantitative analyses and interpreting results
• Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any)
• Proficient in MS SQL Database.
• Python knowledge is good to have.
• Strong analytical and problem-solving skills.
• Storyboarding, Client Interaction is a value addition.

Education & Desired Experience:

• 5 - 8 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions
• B.E, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.

Job Title: Senior Data Analyst 

Role Overview 

We are looking for a Senior Data Analyst to work on a broad range of data analytics, data  visualization, and business intelligence initiatives across multiple industries. The role requires  strong analytical skills, frequent client interaction, and the ability to translate business problems  into effective analytical and BI solutions while collaborating closely with Data Engineering  teams. 

Key Responsibilities 

• Work on a wide range of data analytics, data visualization, and business  intelligence problems across various industries. 
• Engage with clients and business stakeholders to understand business  context, objectives, and challenges. 
• Analyze and document business processes, mapping end-to-end  

workflows using visual formats such as process flow diagrams. 

• Translate business problems into analytical solutions by defining metrics,  KPIs, dashboards, and reports. 
• Develop, publish, and maintain interactive dashboards and visualizations  to support business decision-making. 
• Perform storyboarding to structure analytical insights and present clear,  compelling narratives to stakeholders. 
• Collaborate closely with Data Engineering teams by providing clear and  detailed requirements. 
• Ensure data accuracy, consistency, and adherence to best practices in  reporting and analytics delivery. 
• Perform quality checks (QC) and validation of reports and dashboards  before client delivery. 
• Participate in regular client and internal meetings and prepare clear MoM  (Minutes of Meeting) documentation. 
• Maintain proper documentation for dashboards, metrics, data logic, and  business rules. 
• Track work items, enhancements, and issues using JIRA. 

Mandatory Skills & Requirements (Must-Have)

Mandatory Skills & Requirements (Must-Have) 

• Strong hands-on experience with Tableau (mandatory), including: • Dashboard development and publishing 
• Calculated fields, filters, parameters, and LOD calculations 
• Data blending and joins 
• Row-Level Security (RLS) implementation 
• Replacing and managing data sources 
• Ability to perform QC checks and validation on dashboards and reports.
• Proficiency in SQL for data extraction, transformation, and analysis. 
• Experience in preparing MoM, requirement documents, and functional  documentation. 
• Hands-on experience working with JIRA for task tracking and project  management. 

Desired Skills & Competencies 

• Experience with other BI tools such as Power BI (added advantage). 
• Strong analytical and problem-solving skills with the ability to handle  complex business problems. 
• Proven experience interacting with clients and business stakeholders for  requirement gathering and solution design. 
• Strong communication skills with the ability to present insights clearly  through effective storyboarding and data narratives. 
• Ability to work independently while managing multiple stakeholders and  priorities. 

Education & Experience 

• 3–6 years of relevant analytics experience with a strong focus on  problem-solving and advanced BI solutions. 
• Bachelor’s degree in B.E., B.Tech, or an equivalent discipline.

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

About the Role:
We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.

More specifically, you will: 
•    Engage with clients to understand their business context
•    Understand business processes and map the complete process in visual formats.
•    Translate business problems into analytical structures and solve using statistical/ML techniques
•    Manage a team of data analysts to deliver solutions for clients.
•    Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.

 
Desired Skills & Competencies:
•    Developing and enhancing algorithms and models to solve business problem.
•    Providing end-to-end analysis support across different industry domains and application areas.
•    Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)
•    Conducting quantitative analyses and interpreting results
•    Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any).
•    Proficient in MS SQL Database.
•    Python knowledge is good to have.
•    Strong analytical and problem-solving skills.
•    Storyboarding, Client Interaction is a value addition.

Education & Desired Experience
•    4 - 6 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions
•    B.E, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.

Business Insights and Analytics (BA/SBA/AM) 

About Sigmoid: 

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. 

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. 

An ideal person will come with a good mix of experience in developing complex business intelligence dashboards and provide insights. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. 

Responsibilities 

• Architect, develop, and deploy scalable Data solutions that transform complex data into actionable insights aligned with client objectives. 
• Lead client discussions to translate business challenges into robust technical solutions, clearly understanding both functional and strategic requirements. 
• Deliver deep analytical insights that go beyond surface-level reporting to drive measurable business value and informed decision-making. 
• Optimize and enhance existing dashboards, queries, and data architectures to improve performance, usability, and scalability. 
• Create and maintain comprehensive SOPs and project documentation with accuracy and timeliness.
• Ensure adherence to delivery timelines, quality benchmarks, and internal governance standards.
• Operate independently with minimal supervision while managing multiple parallel engagements effectively. 

Experience and Qualifications 

• 5–8 years of hands-on experience in Business Intelligence and Data Analytics. 
• Strong understanding of data and data modeling, enabling the design of scalable, efficient, and business-aligned data architectures. 
• Exposure to BI tools such as Power BI, Tableau, and Qlik. 
• Advanced proficiency in SQL, and Semantic Layer design. 
• Demonstrated ability to engage with cross-functional stakeholders (business and technical), understand decision flows, and translate reporting needs into impactful insights. 
• Highly analytical mindset with proven capability to synthesize data into clear, compelling, and actionable recommendations. 
• Exposure to diverse domains such as BFS, CPG, Supply Chain, Manufacturing, and Marketing is an advantage. 
• Strong problem-solving skills with the ability to manage competing priorities in dynamic environments.
• Excellent written and verbal communication skills, with the ability to present insights confidently to stakeholders. 

Good to Have 

• Experience designing Gold layers and Semantic layers within modern data architectures.
• Familiarity with AI-driven conversational chatbots and intelligent reporting assistants. 
• Exposure to AI-powered control towers and advanced monitoring solutions.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Strategy & Analytics Internal Systems and SDC team aspires to supercharge the Internal Systems and SDC organization with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe.

What you’ll do

In this role, you’ll be the go-to expert for your business area. You’ll partner directly with our Head of SDC and be his go-to for all things data, insights, and strategy. You’ll be hands-on and responsible for delivering critical insights, ensuring data driven decision making is at the core of what we do. You’ll partner with leadership to drive business strategy, planning, goal-setting and performance tracking. You may also scope and lead mission critical projects and execute on strategic initiatives.

Responsibilities

• Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams. Perform analyses (using SQL & other analytical tools/languages), identify trends, conduct research, build models, all to deliver objective, critical insights that can inform leadership of opportunities, risks, and strategic priorities.
• Communicate with executives: Create narratives and documents that tell the story of your business area to influence senior Operations leadership and Stripe executive team decision making. Own executive-facing weekly, monthly or quarterly reporting. 
• Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams, including Ops, Finance, Data Science, Product/Engineering, and more
• Drive operational excellence: Design, optimize and drive operational reviews and rhythm of the business. Guide the planning and goal-setting process for your business area, as well as progress checks throughout the year. Bring and consistently apply a ROI lens to all operational decisions, so we can make better-informed trade-offs
• Support planning: support with forecasting/planning processes for your business area, including near/medium/long-term planning, to enable leadership to make strategic decisions

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 6+ years of prior experience in analytical and strategic roles in management consulting, Operations, Support, Risk  or Financial Services
• Outstanding analytical ability, expert in SQL and understanding of data relationships
• Outstanding communication, presentation skills & stakeholder management skills
• Experience working in or with Financial Services, Accounting, GTM/Sales, Operations
• Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
• Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy

Preferred qualifications

• Experience working in fast-paced environments (e.g. high-growth internet or software company, management consulting)
• Structured problem solving skills, combined with strong business acumen.
• Experience with Tableau

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Stripe's Finance & Strategy team is hiring a Finance Analytics Analyst. This role requires a finance professional with strong FP&A capabilities, technical data skills (SQL, BI tools), and demonstrated AI adaptability. The individual will own financial planning, variance analysis, and P&L reporting for assigned business areas while using data and technology to deliver high-quality financial insights. This role reports into the Finance & Strategy Center of Excellence.

Responsibilities

Financial Planning & Analysis

• Own P&L reporting and analysis for assigned product lines, business units, or functional cost centers
• Lead monthly and quarterly planning, forecasting, and close processes
• Perform variance analysis (actuals vs. budget, actuals vs. forecast, period-over-period) with clear identification of root causes and business drivers
• Track and reconcile accruals vs. actuals; ensure accuracy and completeness in financial reporting
• Support annual budgeting, long-range planning, and scenario modeling
• Build and maintain financial models for business case analysis, investment decisions, and resource allocation
• Partner with business teams to provide financial perspective on operational and strategic decisions

Data Analytics & Reporting

• Write SQL queries to extract, validate, and analyze data from financial systems and data warehouses
• Build and maintain financial dashboards and reports using Power BI, Tableau, or equivalent BI tools
• Develop data models that integrate financial and operational data for planning, forecasting, and performance reporting
• Automate and standardize recurring reports to reduce manual effort and improve consistency
• Navigate complex, high-volume data environments (trillions of transactions across products and geographies) to extract relevant financial signals
• Ensure data accuracy and consistency across all financial outputs

AI-Augmented Working

• Use AI tools (Claude, Cursor, Claude Code, and similar platforms) as part of workflow for analysis, coding, report building, dashboard prototyping, and problem-solving
• Apply an AI-first approach to new tasks, evaluate where AI can accelerate delivery before defaulting to manual methods
• Contribute to team-wide AI adoption by sharing effective workflows, prompts, and use cases

Business Insights & Communication

• Prepare executive-level reports on financial performance, trends, and key metrics with clear conclusions and recommendations
• Conduct ad-hoc analysis to support strategic initiatives and leadership decision-making
• Translate data and financial analysis into actionable business recommendations for finance and non-finance stakeholders
• Track and interpret key financial and operational metrics including revenue, processing volume, take rate, costs, margins, and unit economics

Requirements

Financial & Business Skills

• 5–7+ years of experience in FP&A, financial analysis, strategic finance, or corporate finance roles
• Strong understanding of financial statements (P&L, balance sheet, cash flow) and the ability to connect them into a complete financial picture
• Demonstrated experience in budgeting, forecasting, variance analysis, and financial planning cycles
• Working knowledge of accrual accounting, revenue recognition, cost allocation, and reconciliation processes
• Fluency in financial metrics: revenue, gross margin, EBITDA, operating leverage, unit economics

Technical & Data Skills

• Must Have: Strong SQL skills for data extraction, transformation, and analysis from relational databases and data warehouses
• Must Have: Proficiency in Power BI, Tableau, or equivalent BI tools for dashboard development and reporting
• Must Have: Advanced Excel / Google Sheets — financial modeling, scenario analysis, pivot tables, complex formulas
• Preferred: Python or R for data analysis, automation, or analytical workflows
• Ability to work with large, complex datasets across multiple data sources

AI Adaptability

• Must Have: Active, demonstrable use of AI tools in current work — candidates should be able to provide specific examples of how AI has improved their workflow, output quality, or speed
• Willingness and ability to continuously adopt new AI tools and methods as they become available
• Comfort using AI for coding assistance, data exploration, dashboard prototyping, and analytical problem-solving

Mindset & Working Approach

• Ownership: Treats assigned areas as personal accountability — does not wait for direction to investigate issues, identify risks, or surface insights
• Depth and curiosity: Goes beyond surface-level analysis to understand business context, root causes, and second-order implications
• Quality and accuracy: Holds a high personal standard for the correctness, completeness, and trustworthiness of all outputs
• Business context orientation: Understands the business model and connects financial data to what is actually happening operationally and strategically
• Clear communication: Presents financial and analytical findings to diverse audiences (finance, product, engineering, leadership) with clarity and precision
• Speed with rigor: Operates effectively in a fast-paced environment without compromising accuracy

Preferred Experience

• Background in technology, payments, fintech, SaaS, or high-growth platform businesses
• Experience with ERP systems (NetSuite, SAP, Oracle) or planning tools (Anaplan, Adaptive Insights, Pigment)
• Exposure to data warehousing concepts and cloud data platforms (Snowflake, BigQuery, Redshift)
• Experience in cross-functional environments working directly with product, engineering, and go-to-market teams
• Experience with high transaction volume environments where data complexity is inherent

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Role Overview

We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

What You'll Do

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

Technical Skills

• Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Preferred: Python or R for data analysis, automation, and statistical modeling
• Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Our global Finance and Strategy team (F&S) are strategic business partners to Stripe’s leaders, providing clear insights which simplify the complexity of the business, and drive the key operating forums to enable effective decision-making.

F&S is expanding to support the needs of our growing business, and this role is an exciting opportunity to join a new Finance & Strategy team in Bangalore.  This team is chartered to deliver thoughtful analysis to inform key business decisions, through simplification and automation of key financial planning processes.  If you are an experienced Finance FP&A professional who wants to make an impact in a dynamic and growing organization, please read below.

What you’ll do

We're looking for a F&S Analyst to join our growing team. This individual will help us with the forecasting budgeting and reporting for various departments accurately and in a timely manner and deliver improvements in our integrated financial systems with business partners, finance colleagues, and engineers.

Responsibilities

• Leverage your financial background to support and influence key strategic and business decisions
• Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses
• Drive reporting, process and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans)
• Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy
• Define metrics and leading indicators of business performance
• Partner with Data Science teams to develop reporting dashboards
• Drive continuous process improvement, standardization, simplification and reporting enhancements

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 4+ years of relevant experience in strategic finance or FP&A 
• A keen analytical eye and experience building integrated models from scratch (in Excel or other planning applications)
• Experience driving and executing on finance processes (e.g. budget, forecast reviews, negotiations, investment analysis)
• A proven ability to build strong collaborative working relationships with business partners
• A proven ability to be a self starter capable of driving business results without significant supervision
• The ability to maintain high performance under tight timelines and a “roll up your sleeves” mindset to get any job done
• The ability to bring structure to ambiguous areas of opportunity and thrive in an unstructured, fast-moving environment
• Excellent verbal and written communication skills
• Excellent communication and organizational skills, both written and verbal.
• Excellent problem-solving skills and demonstrated ability to work independently, analyze problems and data sets to make complex investigation decisions
• Strong knowledge of gSuite tools, Salesforce and MS-Office products and experience working with/analyzing contracts and large data sets.
• Independently analyze and evaluate information from various data sources to determine a course of action for a matched case
• Demonstrated experience partnering with cross-functional stakeholders
• Demonstrated history of taking on various types of challenging projects and producing results
• Solution-oriented mindset with enthusiasm for establishing best practices
• Self-disciplined, diligent, proactive and detail oriented

You will also likely have (not required):

• Experience working at a high-growth technology or financial services company
• Oracle, Anaplan, Tableau or other equivalent application experience
• Experience with SQL or a willingness to learn
• Experience in data visualization and dashboarding

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team:

The Stripe Product Accounting Team is responsible for supporting all products at Stripe, consulting on accounting implications and supporting teams' ability to make informed strategic decisions. We are responsible for the accurate and timely recording of all business-generated transactions on our balance sheet and income statement. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams. 

What you’ll do

Stripe is seeking an experienced  accounting data analyst to join its world class Accounting team and help us scale for the future, in a fast-paced environment that’s growing rapidly. A member of the Accounting Data Analyst team will support the processing and reporting of our global financial results. 

Responsibilities:

• Enable timely financial close and margin analysis through data analytics and visualization
• Wrangle large, highly complex datasets into actionable insights and become the data expert for gross margin accounting. Perform analysis, identify trends, conduct research, and build visualizations to deliver objective, critical insights that fulfill accounting and finance stakeholders’ needs 
• Implement anomaly detection of automated accounting activity to identify potential misstatements in financial results 
• Drive cross-functional projects, primarily partnering with FP&A, Financial Systems, and Product Engineers, to identify opportunities to help our stakeholders operate more efficiently and effectively
• Work independently to investigate the root cause of system breakages and drive both short and long-term resolution 
• Develop testing strategies and build population to satisfy analytic-based audit needs 

Who you are:

We’re looking for someone with a strong Accounting background as well as experience in data analysis, as described further below. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements:

• 5-7+ years of relevant public accounting and/or industry experience
• B.A. or B.S degree in Accounting or Finance (CPA preferred) OR CA qualified
• Fluency in U.S. GAAP
• Strong knowledge of Excel and experience working with large amounts of data, often coming from multiple sources
• Intermediate or advanced SQL proficiency 
• Demonstrated experience partnering with cross-functional stakeholders
• Self-motivated individual with a demonstrated history of taking on various types of challenging projects and producing results, with excellent attention to detail
• Solution-oriented mindset with enthusiasm for establishing best practices, and challenging existing processes to identify improvement opportunities
• Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences

Preferred qualifications:

• Knowledge of (or experience in) the technology or payments industry.
• Experience working in an automated accounting environment
• Experience with Tableau, Alteryx, or other visualization tools 

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Sales Compensation Team at Stripe is responsible for the overall compensation strategy, design, and payment administration for the global sales organization. We ensure that Stripe’s objectives align with the compensation program and that our sales teams are paid accurately and timely. We provide thought leadership for the go-to market initiatives so that performance and compensation are effectively correlated. The Sales Comp team partners closely with the revenue generating and support functions across Stripe to support the success of our sales efforts. 

Stripe’s Sales Compensation Team has an opening for a role that will be responsible for the compensation calculation and payment process for the sales organization. Working as a team of three, this role will play a critical role in ensuring the sales team is correctly paid on schedule. This will include the following steps: processing data, validating calculations, communicating compensation and handling clarification requests. This role will require patience for handling sensitive compensation issues with stakeholders.

Responsibilities

• Deliver accurate and on-time payments to roles with variable sales compensation structures.
• Own and conduct regular audits of incentive compensation management (ICM) tool including: personnel set up, plan management, processed data, and commissions calculations.
• Process data, ensure correct calculations, communicate compensation and handle clarification requests.
• Be the first responder to compensation inquiries and support escalation when needed.
• Leverage both Google Sheets and an ICM tool to complete the payment process.

Have an in-depth understanding of the sales function, product priorities, and individual sales team characteristics.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or BA in Business, Finance, Economics, Math, or Statistics.
• 2+ years of experience in a sales compensation payment role.
• Experience with CRM (e.g. Salesforce) and ICM (e.g. Captivate IQ, Varicent, Xactly) tools.
• Experience with reporting tools, SQL query optimization, and Tableau
• Very organized and attentive to detail, with excellent prioritization skills that allow you to consistently deliver quality results on time.
• Ability to handle the complexities of an end-to-end commissions close, including managing multiple deadlines.
• Ability to address questions and concerns quickly and patiently.

Preferred qualifications

• • Experience with SOX Compliance and process documentation 
  • Experience in Sales or Sales Operations roles.
  • Good communication skills, both verbal and written, with the ability to convey information effectively and empathetically to sales staff and cross-functional teams.
  • Sequel programming experience.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Strategy & Analytics Internal Systems and SDC team aspires to supercharge the Internal Systems and SDC organization with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe.

What you’ll do

In this role, you’ll be the go-to expert for your business area. You’ll partner directly with our Head of SDC and be his go-to for all things data, insights, and strategy. You’ll be hands-on and responsible for delivering critical insights, ensuring data driven decision making is at the core of what we do. You’ll partner with leadership to drive business strategy, planning, goal-setting and performance tracking. You may also scope and lead mission critical projects and execute on strategic initiatives.

Responsibilities

• Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams. Perform analyses (using SQL & other analytical tools/languages), identify trends, conduct research, build models, all to deliver objective, critical insights that can inform leadership of opportunities, risks, and strategic priorities.
• Communicate with executives: Create narratives and documents that tell the story of your business area to influence senior Operations leadership and Stripe executive team decision making. Own executive-facing weekly, monthly or quarterly reporting. 
• Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams, including Ops, Finance, Data Science, Product/Engineering, and more
• Drive operational excellence: Design, optimize and drive operational reviews and rhythm of the business. Guide the planning and goal-setting process for your business area, as well as progress checks throughout the year. Bring and consistently apply a ROI lens to all operational decisions, so we can make better-informed trade-offs
• Support planning: support with forecasting/planning processes for your business area, including near/medium/long-term planning, to enable leadership to make strategic decisions

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 6+ years of prior experience in analytical and strategic roles in management consulting, Operations, Support, Risk  or Financial Services
• Outstanding analytical ability, expert in SQL and understanding of data relationships
• Outstanding communication, presentation skills & stakeholder management skills
• Experience working in or with Financial Services, Accounting, GTM/Sales, Operations
• Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
• Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy

Preferred qualifications

• Experience working in fast-paced environments (e.g. high-growth internet or software company, management consulting)
• Structured problem solving skills, combined with strong business acumen.
• Experience with Tableau

About the role:

As a Samsara Technical Account Manager (TAM), you are the cornerstone of technical customer success. In this role, you will act as a trusted technical advisor, moving beyond traditional support to deliver measurable business value and drive the long-term adoption of the Samsara platform. Your mission is to proactively optimize your customers' technical health and mitigate risk, ensuring they achieve their desired outcomes.

This requires a unique blend of deep technical acumen, consultative problem-solving, and the ability to communicate with influence across both technical and executive stakeholders. You will build enduring customer relationships by translating their operational goals into powerful technical solutions. As the primary technical interface for your accounts, you will foster cross-functional collaboration with our Sales, Support, and Product teams to champion your customers' needs. During critical incidents, you will demonstrate ownership by managing customer communications and expectations through to a successful resolution.

This is a hybrid position open to candidates based in India.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

• Drive Customer Impact & Value Realization: Go beyond technical support to consistently deliver measurable value. You will develop a deep understanding of your customers' business objectives and proactively align Samsara's solutions to help them achieve their goals, tracking and demonstrating technical ROI along the way.
• Execute Transformational Technical Account Management: Independently manage a portfolio of accounts, developing tailored success plans and identifying and mitigating risks to customer health. You will maintain accurate records of customer interactions and contribute to team-wide objectives.
• Demonstrate Deep Technical Acumen & Samsara Expertise: Be the primary technical point of contact, mastering Samsara's platform, including APIs, hardware, and software. You will advise customers on best practices and troubleshoot complex technical issues with proficiency.
• Provide Consultative Problem Solving & Solutioning: Employ a consultative approach to understand the root cause of customer challenges. You will own the technical ticket lifecycle, including technical escalations from report to resolution, and conduct root cause analysis to prevent recurrence and drive product improvement.
• Communicate with Influence and Clarity: Lead customer meetings, from technical deep dives to quarterly technical account reviews, with confidence. You will adapt your communication style to effectively engage with diverse audiences, from technical staff to non-technical executives.
• Foster Cross-Functional Collaboration: Partner effectively with Sales, Support, Product, and Engineering teams to advocate for customer needs and deliver a unified experience.
• Demonstrate Ownership and Act as a Multiplier: Embody a 'get it done' mentality by taking initiative on team projects and process improvements. You will actively contribute to our internal knowledge base and help onboard new team members, sharing best practices to enhance the entire team's capabilities.
• Embody Samsara's Values & Principles: Consistently champion and role model Samsara's core values and operating principles in every interaction, actively seeking feedback for continuous improvement

Minimum requirements for the role:

• Work Shift: Requires working hours aligned with the U.S. Central and Eastern time zones, primarily to support customers on the East Coast of North America. Working hours: 9 AM – 6 PM EST (6:30 PM – 3:30 AM / 7:30 PM – 4:30 AM IST)
• Experience: 7+ years experience in a technical, customer-facing role such as technical account management, solutions consulting, or customer success, with a demonstrated track record of success. 
• Foundational Education: Bachelor’s degree in Management Information Systems, Computer Science, or a related field preferred, or equivalent relevant professional experience.
• Technical Proficiency: Exceptional technical literacy with the ability to understand and troubleshoot complex hardware, software, and API integrations. A strong passion for technology and a commitment to continuous learning, including an interest in AI and its applications.
• Customer Focus: A data-informed approach to understanding customer needs and a demonstrated ability to build trusted, long-term relationships.
• Communication: Strong English written and verbal communication skills.
• Collaborative Spirit: A team player who thrives in a fast-paced environment and works effectively with internal teams to drive customer success.

An ideal candidate also has:

• Experience supporting global enterprise-level customers in a SaaS, IoT, or PaaS environment.
• Proven experience leveraging AI tools and methodologies in daily workflows to drive efficiency, generate customer insights, and improve overall customer success.
• Prior experience with Samsara, Salesforce, Zendesk, Jira, Gong, Gainsight, and Tableau.
• Basic Python coding skills are an asset for providing enhanced technical solutions

#LI-hybrid 

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfil the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue. 

Role Overview: ZoomInfo is seeking a Data Analyst III to join the Data Operations and Analysis team. This role partners closely with Product, Engineering, and Research teams to enhance data infrastructure, improve data quality, and deliver actionable insights that drive business impact.

Key Responsibilities:

• Develop a deep understanding of data systems, pipelines, and infrastructure.
• Analyze current data processes, identify gaps, and recommend scalable improvements.
• Drive initiatives to enhance data accuracy, coverage, and efficiency.
• Collaborate cross-functionally with Data Engineering, Product, and Research teams.
• Perform advanced data analysis and present insights in a clear, structured manner.
• Mentor junior analysts and contribute to team capability building.
• Work independently to explore data, propose solutions, and execute projects end-to-end.

Core Competencies:

• Strong analytical thinking and problem-solving ability.
• Ability to work in ambiguous environments and drive clarity.
• Effective communication with both technical and non-technical stakeholders.
• High attention to detail and strong organizational skills.
• Self-driven with the ability to manage multiple priorities.

Required Qualifications:

• 5+ years of experience in analytics, data operations, or quantitative research.
• Advanced proficiency in SQL, Python, BigQuery, and Excel.
• Strong understanding of ETL processes and data quality challenges.
• Experience working with large-scale datasets.
• Familiarity with AI/ML concepts including NLP and data modeling.

Preferred Qualifications:

• Experience building or deploying AI/ML solutions.
• Exposure to tools like Tableau or Looker Studio.
• Experience with Databricks, AWS, or Airflow.
• Background in product-driven or project-based environments.

Impact: This role plays a critical part in shaping the future of ZoomInfo’s data ecosystem by improving data reliability, scalability, and strategic value.

#LI-SG2

#LI-Hybrid

Overview of Role

The MicroStrategy Administrator will be responsible for the installation, configuration, maintenance, and support of the MicroStrategy platform. They will work with a variety of MicroStrategy products and will leverage their python, SQL, and automation skills to monitor, maintain, and improve MIcroStrategy environments. This role requires collaborating with clients and analysts to identify optimal technical solutions, utilizing and improving established processes, and collaborating on the Managed Solutions team.

Responsibilities

• Implementing and managing security roles, access controls, and authentication mechanisms within MicroStrategy to ensure data security and compliance with organizational policies.
• Manage user access and permissions
• Work with clients and analysts to gather requirements and design solutions
• Provide technical support to MicroStrategy users, troubleshooting issues, and answering questions related to report development, data access, and platform functionality 
• Stay up-to-date on the latest MicroStrategy features and best practices
• Create and maintain comprehensive documentation of the MicroStrategy environment, including system architecture, configurations, and troubleshooting guides
• Proven experience in dashboard development, report building, object development, and maintenance
• Develop workflows to automate administrative functions utilizing tools such as Python, MicroStrategy’s Rest API, Command Manager and System Manager. 
• Monitor system performance, identifying bottlenecks, and optimizing system resources (CPU, memory, disk space) to ensure efficient operation and scalability. This may involve query optimization, caching strategies, and load balancing.
• You are motivated and driven. You volunteer for new challenges without waiting to be asked. You’re going to take ownership of the time you spend with us and truly make a difference.
• Strong experience in CI/CD and Git-based version control (Bitbucket – push/pull, branching), along with JIRA and Confluence.
• Experience with MicroStrategy Administrative Functions is required!

Qualifications

• At least 3-5 years of experience working with the MicroStrategy Analytics Platform in an administrative capacity. 
• Strong familiarity with the differences in administrative process between self-hosted and Managed Cloud Environments (MCE). 
• Strong understanding of MicroStrategy architecture and components.
• Experience with MicroStrategy installation, configuration, and administration
• Experience with performance tuning and troubleshooting
• Experience managing environments with heavy utilization of intelligence cubes and high volumes of subscriptions.
• Experience utilizing MicroStrategy Workstation, understanding the differences in capabilities between Workstation and Developer application capabilities. 
• Experience building automation solutions utilizing Python and MicroStrategy’s Rest API.
• Strong proficiency in SQL, including advanced query writing and performance optimization
• Strong Experience utilizing System Manager and Command Manager applications.
• Bachelor's degree in Computer Science or related field or equivalent experience.
• Working knowledge or Hands-on experience of BI/reporting tools (Tableau, Power BI, Looker Studio) is desirable and will be viewed as an added advantage.
• Experience or familiarity with Google BigQuery is a plus.
• Experience with security and user management.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and own deliverables end-to-end.
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

Position Overview:

The User Acquisition team at Zynga is looking for an experienced and accomplished User Acquisition performance marketer who will be responsible for managing large-scale advertising campaigns. This person is an analytical and business-savvy number-cruncher who will acquire users for Zynga’s growing mobile portfolio. This individual will focus on leveraging Paid Social Channels, Ad Networks, and DSPs to scale our current marketing efforts. You will be responsible for helping the team identify and develop mobile acquisition strategies, and work closely with engineering and machine learning engineers to further improve our internal tools. You are an experienced quantitative online marketer who can manage multiple priorities while delivering outstanding execution. This role is well suited for those who are analytically strong and want to make a direct impact on the growth of the business.  

What You'll Do:

• Create and manage new user acquisition, and retargeting campaigns on paid social (i.e. Facebook, Google, TikTok) and ad network platforms (i.e. Unity, Applovin, Liftoff)

• Lead the optimization efforts across creative, geo, platform, and channel to maximize returns and scale products and deliver performance at scale.

• Have understanding of ad attribution and tracking with mobile measurement partners(i.e. Appsflyer, Adjust)

• Collaborate with the Game, Creative, and Product Marketing teams to make decisions that increase LTV and lower acquisition cost.

• Daily, weekly, and quarterly budget forecasting and reporting of results

What you Bring:

• 3+ years experience in a performance marketing role.

• Demonstrated experience with campaign management on paid social and DSP channels.

• Strong problem solving and analytical thinking skills, and experience working in a metrics-based environment.

• Experience with Tableau, advanced Excel, and mobile measurement partners (i.e. Adjust, Appsflyer, Kochava).

• Outstanding stakeholder communication skills  – both written and spoken – to work effectively with our external and internal partners.

What We Offer You :

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits

Experience Bucket: 2 to 5 Years

What kind of person are we looking for?
First-principle problem solvers who are passionate about working with data and uncovering the stories that the numbers hide. If you’re a curious mind and constantly questions the status-quo, then you’d fit right in with us.

What would you get if you work with us?
You’ll be closely working on problem statements and influencing decisions that impact 60 crore + people; if you’re not keeping track. You’ll get to interact with some of the smartest professionals that the country has to offer and get exposure to all facets of building a product at scale. You get complete ownership and responsibility of all analytics support for your area right from identifying the problem to presenting to the CEO, if need be.

What would you get to do in this role?

• Be an integral part of the pod strategy and will have to define the critical metrics. You’ll also monitor performance trends and influence any interventions, based on performance.
• Collaborate closely with the business, and product functions to understand the business problem and translate them into the right analytical problem statement.
• Own the entire insight generation phase and work on deep, thorough analysis to provide unbiased answers on the identified problem statement. These insights and decisions will be influenced based on your presentation of the evidence, backed by a data-driven hypothesis.
• Move past just being the “Data person” and contribute with individual thoughts on how to improve the critical metrics for the pod. We love people who think of themselves as the business owner and then go back to the data to prove or disprove the thought.
• Act as the analytics and visualization SME for the team and ensure that the dashboards are designed and built in a way that makes it easy for the pod to consume the data they need.
• Mentor other analysts in the team; play an active role in hiring process & new team members’ onboarding process

What do you need to have to apply for this position?

• Minimum 2 years of overall analytics experience, including 1 year of experience in the lending domain.
• Strong problem solving & analytical skills.
• Penchant for business & curiosity to understand how the product works.
• Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis.
• Intuition for data and ability to handle big data sources.
• Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, QlikView.
• Understanding of data-analysis languages such as R, Python and in core statistical concepts is expected; Experience in building ML models is good-to-have, but not mandatory. Ability to clearly explain thoughts and ideas either verbally or in the written form.
• Candidates who are able to explain the story behind their analysis will find themselves at an advantage.

Experience Bucket: 4 to 6 Years

What kind of person are we looking for?
First-principle problem solvers who are passionate about working with data and uncovering the stories that the numbers hide. If you’re a curious mind and constantly questions the status-quo, then you’d fit right in with us.

What would you get if you work with us?
You’ll be closely working on problem statements and influencing decisions that impact 60 crore + people; if you’re not keeping track. You’ll get to interact with some of the smartest professionals that the country has to offer and get exposure to all facets of building a product at scale. You get complete ownership and responsibility of all analytics support for your area right from identifying the problem to presenting to the CEO, if need be.

What would you get to do in this role?

• Be an integral part of the pod strategy and will have to define the critical metrics. You’ll also monitor performance trends and influence any interventions, based on performance.
• Collaborate closely with the business, and product functions to understand the business problem and translate them into the right analytical problem statement.
• Own the entire insight generation phase and work on deep, thorough analysis to provide unbiased answers on the identified problem statement. These insights and decisions will be influenced based on your presentation of the evidence, backed by a data-driven hypothesis.
• Move past just being the “Data person” and contribute with individual thoughts on how to improve the critical metrics for the pod. We love people who think of themselves as the business owner and then go back to the data to prove or disprove the thought.
• Act as the analytics and visualization SME for the team and ensure that the dashboards are designed and built in a way that makes it easy for the pod to consume the data they need.
• Mentor other analysts in the team; play an active role in hiring process & new team members’ onboarding process

What do you need to have to apply for this position?

• Minimum 4 years of analytics experience in relevant roles.
• Strong problem solving & analytical skills.
• Penchant for business & curiosity to understand how the product works.
• Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis.
• Intuition for data and ability to handle big data sources.
• Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, QlikView.
• Understanding of data-analysis languages such as R, Python and in core statistical concepts is expected; Experience in building ML models is good-to-have, but not mandatory. Ability to clearly explain thoughts and ideas either verbally or in the written form.
• Candidates who are able to explain the story behind their analysis will find themselves at an advantage.

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

The Role

The Analytics Team at Razorpay is a group of curious problem solvers who drive data-led decision-making across the organization. We work on high-impact business challenges, leveraging data mining, experimentation, statistical analysis, and machine learning where applicable.

As a Senior Manager Analytics, you will lead a team of analysts, partnering closely with Business, Marketing & Product teams to drive insights, optimize strategies, and create measurable impact. This role is ideal for someone who thrives on solving ambiguous problems, mentoring high-performing teams, and using data to influence business outcomes.

Key Responsibilities

Strategic Analytics & Business Insights

• Develop a deep understanding of ad network performance, customer engagement, and marketing analytics, identifying high-impact opportunities for optimization.
• Define and refine key business metrics, ensuring accurate tracking, instrumentation, and data quality in collaboration with engineering teams.
• Conduct exploratory analyses, cohort studies, and funnel deep dives to uncover actionable insights that drive campaign efficiency, customer LTV, and retention strategies.
• Work closely with Sales, Marketing, and Growth teams to optimize campaign performance, measure ROI, and improve attribution modeling and bid optimization.
• Structure problem-solving frameworks that drive measurable impact across customer engagement initiatives.

2. Experimentation & Optimization

• Design and analyze A/B tests to measure the impact of marketing campaigns, product features, and engagement strategies.
• Ensure statistical rigor in all analyses, experiment designs, and hypothesis testing to validate growth initiatives.
• Develop scalable methodologies for predictive modeling, churn analysis, and personalized engagement strategies.

3. Data Strategy & Automation

• Build self-serve analytics solutions using Tableau, SQL, and Python, empowering stakeholders with real-time insights.
• Collaborate with data engineering teams to enhance data pipeline efficiency, scalability, and governance.
• Drive central analytics initiatives that improve efficiency, automation, and standardization across analytics workflows.

What We’re Looking For

Mandatory Qualifications

• 8+ years of experience in Analytics & Data Science, with 4+ years in Tech (AdTech, MarTech, Consumer Tech, FinTech, SaaS, or E-commerce preferred).
• Mandatory experience in Ad Network Analytics – including campaign attribution, bid optimization, CAC/LTV modeling, and ad spend efficiency.
• Expertise in SQL, Python, and Tableau for large-scale data analysis.
• Proven track record in marketing, growth, and engagement analytics, including customer segmentation, funnel optimization, and retention modeling.
• Experience in A/B testing, hypothesis testing, and statistical modeling.
• Ability to translate complex analytical insights into clear, data-driven business recommendations for senior stakeholders.

Preferred Qualifications

• Experience in product analytics, including feature experimentation and user behavior analysis.
• Exposure to machine learning models for churn prediction, personalization, and marketing automation.
• Working knowledge of web analytics, growth marketing, and performance marketing strategies.

SLSQ227R442

The Manager, GTM Planning supports Databricks’ global go-to-market planning and execution. In this role, you will operate at a global scale, owning critical planning workflows across territory and account assignment, quota calculations, and headcount management. You will not only run core processes but continuously improve them by bringing rigor, automation, and a data-driven perspective to each planning cycle.

The Impact you will have:

• Global territory & account assignment - Design and optimize workflows that deliver decision-ready outputs trusted by sales leadership while reducing manual effort
• End-to-end GTM headcount execution - Accelerate time-to-hire by removing bottlenecks, modeling budget trade-offs, and reconciling positions across Finance, Talent Acquisition, and Sales
• Scalable planning infrastructure - Build repeatable templates and processes that reduce manual effort and improve planning accuracy over time
• Cross-functional partnership - Drive alignment across Sales, Finance, HR, and Sales Operations to resolve data discrepancies, align assumptions, and manage planning exceptions
• AI & Process Automation - Identify opportunities to automate repetitive tasks, improve data quality, and shorten planning cycles

What we look for:

• 7+ years of experience in GTM planning, Sales Operations, Revenue Operations, or Strategy & Operations within an enterprise technology company
• Deep, hands-on experience with territory design, quota setting, capacity modeling, and/or headcount management
• Strong proficiency in Salesforce reporting, SQL, and BI tools (e.g., Databricks, Tableau), with the ability to independently extract, transform, and analyze large datasets
• Advanced Excel or Google Sheets modeling skills, including building and maintaining complex planning models used by senior stakeholders
• Proven ability to collaborate across global time zones, particularly with teams in the US, EMEA, and APJ
• Demonstrated use of AI tools to improve productivity, including building lightweight automations, prompt workflows, or data transformations
• Strong bias for action and continuous process improvement - you see a manual process and immediately think about how to make it better
• Comfort operating with ambiguity in a fast-moving, high-growth environment where planning requirements evolve quickly

Req ID: GAQ126R127

The Sr. Data Analyst (Tableau) is key in technological decision-making for business teams’ future data, analysis, and reporting needs. The role supports the business’s daily operations, including troubleshooting the data intelligence warehouse environment and monitoring jobs. It is also the role of the analyst to guide the business in identifying new data needs and to deliver mechanisms for acquiring and reporting such information, as well as to address actual needs. The Business Intelligence Data Engineer provides expertise to the business in data analysis, reporting, and business intelligence. You will report to the Director of Business Systems and Data.

The impact you will have:

• Design/Strategy: The Sr. Data Analyst designs and supports the business’s reporting needs using Tableau and, in the future, other BI tools.
  
  
• Collaboration: The role that the Sr. Data Analyst plays is highly collaborative and, as such, works closely with Data engineers and business analysts within the business. Also works closely with other disciplines/departments and teams across the industry to develop simple, functional, and elegant solutions that balance data needs across the business.
  
  
• Analytics: The senior data Analyst is analytical in quickly and thoroughly analysing business requirements for reporting and analysis, translating results into good technical data designs.
  
  

What we look for:

• 6+ years of experience with Tableau and BI tools
• Proven experience in developing and working with Tableau-driven dashboards and analytics.
• Advanced Tableau development skills required
• Working knowledge of Tableau administration/architecture.
• Ability to query and display large datasets while maximising the performance of the workbook
• Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications
• Work with business stakeholders to create valuable reports and dashboards that provide insight, improve/automate processes, or add value to the team.
• High-level competency in Excel (macros, pivot tables, etc.).
• Understanding of advanced calculations and statistical functions.
• A solid understanding of SQL, relational database management systems, data modelling, and normalisation
• Strong communication skills.
• Attention to detail and accuracy.
• Prior experience in Data Engineering is a strong plus.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  

With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  

If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description:    

project44 is looking for a Staff Data Engineer to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.   

About the Role

We are looking for a Staff Data Engineer to drive the execution and scaling of project44’s data platform.This role sits at the intersection of Data Engineering, Data Science, and Product, with a mandate to translate architectural vision into reliable, scalable systems used across teams.

You will partner closely with other data engineers to implement platform direction, establish engineering standards, and ensure consistent, high-quality execution across data systems. Your focus will be on solving complex data challenges, driving adoption of best practices, and enabling teams to build efficiently on a shared foundation.

As AI reshapes how data systems operate, you will also help integrate agentic and GenAI-powered workflows into data pipelines and developer workflows—improving automation, observability, and system intelligence.

What You’ll Do

Drive Platform Execution

• Translate architectural direction into production-grade systems across ingestion, transformation, and serving layers.

Establish Standards & Best Practices

• Define and enforce patterns for data modeling, pipeline design, observability, testing, and data quality across teams.

Solve Complex Data Problems

• Own and resolve high-impact technical challenges related to scale, latency, reliability, and cost efficiency.

Enable Consistency Across Teams

• Work across multiple teams to drive adoption of shared data models, tooling, and engineering practices.

Build Scalable Data Systems

• Develop and optimize pipelines and data systems for performance, maintainability, and long-term scalability.

Integrate AI-Native Workflows

• Implement agentic and GenAI-driven workflows to automate data operations, improve monitoring, and accelerate development.

Mentor & Raise the Bar

• Act as a technical leader within the team, mentoring junior engineers and elevating engineering quality across the organization.

What We’re Looking For

8–10+ years in Data Engineering or Software Engineering, with a strong track record of building and scaling production-grade systems.

Technical Expertise

• Strong programming skills (Python preferred, Java/Scala a plus) and deep experience with modern data technologies (Spark, Snowflake, Databricks).

Data Systems & Execution

• Proven ability to build and operate reliable, scalable data pipelines and systems in production environments.

Data Modeling & Warehousing

• Strong experience in data modeling, warehousing, and building analytics- and ML-ready datasets.

Distributed Systems & Trade-offs

• Ability to navigate trade-offs across performance, cost, reliability, and scalability in cloud-native systems.

AI & Modern Tooling

• Experience leveraging GenAI or agentic tools to improve developer productivity, automate workflows, or enhance data systems.

Cross-Team Influence

• Experience working across teams to drive alignment, adoption of standards, and consistent execution.

Communication & Leadership

• Strong communication skills and the ability to influence technical decisions across teams.

Preferred Skills

• Experience with real-time and event-driven systems (Kafka, streaming architectures)
• Familiarity with orchestration tools (Airflow, Argo) and containerization (Docker, Kubernetes)
• Experience with data governance and access control (RBAC)
• Exposure to analytics and BI tools (Looker, Tableau)
• Experience building shared data platforms or internal tooling
• Background in logistics, supply chain, or high-scale operational systems

What Success Looks Like (6–12 Months)

• Successfully implemented core data platform patterns across multiple teams
• Improved data reliability, observability, and quality in critical pipelines
• Reduced inconsistency in data models and engineering practices across teams
• Enabled faster development and deployment of data and ML workflows
• Introduced AI-driven improvements in data workflows and developer productivity
• Acted as a key technical leader, raising the bar for execution and engineering quality

In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office three days weekly. 

Diversity & Inclusion 

At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day. 

We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. 

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application! 

For any accommodation needed during the hiring process, please email   recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements. 

More about project44 

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences. 

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  

With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  

If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description: 

Project44 is looking for a Data Engineer to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing scalable micro-service systems consumed by companies around the world. 

What you’re most excited for: 

• Designing and writing ETL jobs, data monitoring, and data cleaning.  
• Building optimized data pipelines.
• Enjoy database related work: Snowflake/Postgres/MongoDB.  

• Applying software rigor to create reliable, easily extensible data systems. 
• Collaborate with product on prioritization and scheduling of product and engineering features 
• Be a positive role model. 

Requirements: 

• B.Tech/BE in Computer Science, Engineering or related field or above.  
• 3+ years of experience in SQL, schema design and data analytics.  
• Hands on in Programming proficiency in any programming language like Python(preferred), Java, Scala. 
• Experience with data system orchestration and designing pipelines 
• Experience with Agile development methodologies and supporting tools such as Jira, Confluence, Rally, etc. 
• Dynamic & driven individual with enthusiasm for working in a high-profile, fast-paced entrepreneurial environment  
• Proven track record of working in a fast paced, competing priority environment, capable of partnering with and communicating across multiple functions and teams 
• Excellent communications skills and can speak directly to executives and customers in fast-developing situations, and write critical customer communications 

Preferred Experience: 

• Experience in database administration, including Role Based Access Control (RBAC) 
• Experience with data visualization tools, e.g., Looker or Tableau 
• Understand tradeoffs and optimize towards different metrics such as cost, time, memory, or compute. 
• Develop collaborative relationships with diverse internal teams, like Sales, Infosec, Business Intelligence, or other product teams 
• Familiarity with Python, DBT, Kafka, Argo, Google Cloud, Kubernetes, Docker, and Snowflake 
• Knowledge of Real time Analytics / event driven systems 

Diversity & Inclusion  

At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day.  

We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture.  

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!  

For any accommodation needed during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.  

About project44  

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continues to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we’ve created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences.   

A candidate will be asked to conduct a pre-employment criminal background screening test as a standard routine to minimize moral & integrity risks among our staff and to ensure Project44 is compliant with its internal pre-employment screening policy and SOC 2, Sarbanes Oxley Act and ISO 27001 compliance. We will only ask you to conduct a criminal background check when we believe it is proportionate to the role that you will fulfil within your team and/or department   A criminal  back ground check will be facilitated by our third party vendor Accurate who will assist you to get the appropriate documents from authorities in the country where you will be employed.  Depending on the country where you will be employed your local authority will provide a Certificate of Conduct or similar document upon your request.  If there are any costs related to screening, these will be borne by Project44. When our vendor Accurate will reach out to, you will be asked for your consent. We would like to emphasize  that at all time you can decide  to withdraw from the application process and/or to withdraw the consent to perform a screening test. 

#LI-Hybrid 

About Us

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX and other top-tier investors.

Role Overview

We are seeking a talented Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.

Key Responsibilities:

• Data Infrastructure & Governance:
  
  
• Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
• Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.

• Business Intelligence & Insights:
  
  
• Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
• Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
• Analyze user behavior and transaction patterns to drive growth strategies.

• Risk & Financial Analytics:
  
  
• Build analytics models for pricing optimization and financial planning.
• Create risk monitoring systems and fraud detection analytics to ensure platform security.

• Strategic Partnership & Team Leadership:
  
  
• Partner with leadership to provide data-driven insights for strategic decision-making.
• Build, manage, and mentor a high-performing team of analysts as the organization scales.

What we are looking for

Must-haves:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 6+ years of experience in analytics or data science roles.
• Strong programming skills in Python and SQL.
• Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).
• Proven experience building and maintaining large-scale data pipelines.
• Excellent communication skills with the ability to present complex data to non-technical stakeholders.
• Strong problem-solving skills and meticulous attention to detail.

What helps you stand out:

• A Master's degree in a relevant field.
• Experience in a fintech or financial services environment.
• Direct experience with crypto/blockchain analytics.
• Startup experience is highly preferred.
• Expertise with data visualization tools like Tableau or Looker.

What We Offer

• Competitive salary and benefits package.
• Equity in a rapidly growing company.
• Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
• Opportunity to make a significant impact on global financial infrastructure
• Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

About The Team

You’ll join Prodigal’s Strategy & Operations team, the consulting arm of the company. We partner with creditors in consumer finance (Banks, NBFCs & BNPLs and debt collection agencies) to transform how they engage with consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, data science, and client operations: designing strategy, building execution pipelines, and running experiments that deliver measurable lifts in recoveries and channel performance.

Role Overview

As a Strategy & Operations Analyst, you will work with the team to execute and scale high-impact strategies and initiatives for clients. You’ll both build and scale: owning live AI based strategies, testing new ideas, identifying and solving client challenges, and driving strategic initiatives.

This is beyond a traditional consulting role where impact ends at strategic recommendations. Here, you will own strategies end-to-end, from design to live execution. You’ll have visibility over their direct, measurable impact on real business outcomes. You’ll operate in a high-growth environment with accelerated learning, full ownership, and continuous exposure to CXOs. The role also offers periodic travel to the US for client meetings and industry conferences, giving you on-ground global exposure.

This role is designed as a fast-growth pathway into a Strategy & Operations Lead position, based on performance, learning velocity, and leadership readiness.

Mode of work - 5 days in office

What makes you a good fit? 

You enjoy solving real-world problems and taking full ownership of outcomes, not just analyses. You combine structured thinking with execution discipline and are comfortable working in fast-moving, client-facing environments. You’re motivated by measurable impact, continuous learning, and early responsibility. 

Responsibilities

Strategy:

• Act as a strategic advisor and industry expert to the CXOs of the customers you manage. They will rely on you for advice on what’s best for their business
• Own end-to-end engagement strategy, defining strategies to drive improvements in collections & recoveries, self-serve usage, and consumer experience
• Design structured experimentation frameworks by crafting hypotheses, choosing success metrics, and analyzing results to continuously refine strategy and inform scalable best practices
• Partner with data science teams to shape and operationalize models (e.g., channel affinity, right-time-to-contact, offer logic), ensuring strategies correctly leverage behavioral patterns

Analytics and Operations:

• Develop insightful, scalable reports and dashboards to track key performance metrics and proactively track deviations, trends, and anomalies
• Lead the execution and monitoring of A/B tests to measure product improvements and optimize service delivery
• Continuously improve underlying processes and systems by designing structured experiments, analyzing results, and translating learnings into scalable improvements

Requirements

• Bachelor's degree in Engineering, Mathematics or a related field (Tier 1 college from 2025 batch preferred)
• Deep interest in consulting or product management
• Relevant data analytics experience
• Proficiency in Excel, Python, SQL, and Tableau/other BI tools is preferred
• Excellent communication skills (written and verbal), with the ability to clearly present findings to stakeholders and team members

Evaluation Process :

• Round 1
  • Intro and communication (15 minutes)
  • Problem/puzzle solving (30 minutes)
  • Case study (60 minutes)
• Round 2
  • Culture fit (20 minutes)
• Final Shortlist/Offer announcement

Job Benefits: 

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

About The Team

You’ll join Prodigal’s Strategy & Operations team, the consulting arm of the company. We partner with creditors in consumer finance (Banks, NBFCs & BNPLs and debt collection agencies) to transform how they engage with consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, data science, and client operations: designing strategy, building execution pipelines, and running experiments that deliver measurable lifts in recoveries and channel performance.

Role Overview

As a Strategy & Operations Analyst, you will work with the team to execute and scale high-impact strategies and initiatives for clients. You’ll both build and scale: owning live AI based strategies, testing new ideas, identifying and solving client challenges, and driving strategic initiatives.

This is beyond a traditional consulting role where impact ends at strategic recommendations. Here, you will own strategies end-to-end, from design to live execution. You’ll have visibility over their direct, measurable impact on real business outcomes. You’ll operate in a high-growth environment with accelerated learning, full ownership, and continuous exposure to CXOs. The role also offers periodic travel to the US for client meetings and industry conferences, giving you on-ground global exposure.

This role is designed as a fast-growth pathway into a Strategy & Operations Lead position, based on performance, learning velocity, and leadership readiness.

Mode of work - 5 days in office

What makes you a good fit? 

You enjoy solving real-world problems and taking full ownership of outcomes, not just analyses. You combine structured thinking with execution discipline and are comfortable working in fast-moving, client-facing environments. You’re motivated by measurable impact, continuous learning, and early responsibility. 

Responsibilities

Strategy:

• Act as a strategic advisor and industry expert to the CXOs of the customers you manage. They will rely on you for advice on what’s best for their business
• Own end-to-end engagement strategy, defining strategies to drive improvements in collections & recoveries, self-serve usage, and consumer experience
• Design structured experimentation frameworks by crafting hypotheses, choosing success metrics, and analyzing results to continuously refine strategy and inform scalable best practices
• Partner with data science teams to shape and operationalize models (e.g., channel affinity, right-time-to-contact, offer logic), ensuring strategies correctly leverage behavioral patterns

Analytics and Operations:

• Develop insightful, scalable reports and dashboards to track key performance metrics and proactively track deviations, trends, and anomalies
• Lead the execution and monitoring of A/B tests to measure product improvements and optimize service delivery
• Continuously improve underlying processes and systems by designing structured experiments, analyzing results, and translating learnings into scalable improvements

Requirements

• Bachelor's degree in Engineering, Mathematics or a related field (Tier 1 graduating in 2026 preferred)
• Deep interest in consulting or product management
• Relevant data analytics experience
• Proficiency in Excel, Python, SQL, and Tableau/other BI tools is preferred
• Excellent communication skills (written and verbal), with the ability to clearly present findings to stakeholders and team members

Evaluation Process (Virtual Recruitment Drive):

• Round 1 - 21st March 2026
  • Intro and communication (15 minutes)
  • Shortlisting at end of the day
• Round 2 - 22nd March 2026
  • Problem/puzzle solving (30 minutes)
  • Shortlisting at end of the day

• Round 3 - 26th-27th March 2026 
  • Case study (60 minutes)

• Round 4 - 28th - 30th March 2026
  • Culture fit (20 minutes)
    

Final Shortlist/Offer announcement on 31st March 2026

Job Benefits: 

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)