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 accountant to join its world class accounting team and help us scale for the future, in a fast-paced environment that is growing rapidly. In this role you will support our Payments and Payment Products revenue accounting, leveraging your technical expertise with US GAAP, specifically ASC 606, to quickly identify accounting implications and impacts to customers while advising and collaborating with team members cross-functionally to develop operational processes that help us scale.

Responsibilities

• Build scalable accounting processes to support global growth in payment processing accounting
• Partner closely with our product, go-to-market, and finance partners to thoroughly understand new products, features, and contracts.
• Partner with internal systems and engineering teams to support internal financial systems and automation of accounting processes
• Assess the effectiveness of internal controls, and design new processes and controls for emerging and growing business activities
• Develop and maintain up-to-date accounting procedural documentation
• Plan and perform monthly and quarterly close activities, including journal entries, balance sheet reconciliations, variance analyses, financial reporting deliverables, and analytical reviews
• Produce internal management analyses and reporting
• Support external audit processes

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

• An accountancy qualification (e.g CA, CPA, ACA, ACCA, CIMA) with 2 - 3 years of relevant accounting experience
• Degree in Accounting or Finance background
• Proven experience in the monthly close process, journal preparation and posting, audit, regulatory reporting and exposure to accounting systems.
• Experience in month end reporting and financial statement preparation
• Working knowledge of US GAAP - ASC 606 
• The ability to bring structure to ambiguous areas of opportunity and thrive in an unstructured, fast-moving environment
• Strong analytical skills and strong knowledge of Excel
• An enthusiastic “roll up your sleeves” mentality
• A passion for creating new systems and solving problems via infrastructure and automation
• Demonstrated ability to work cross-functionally and with different cultures
• Demonstrated experience with internal controls
• Ability to be flexible and comfortable with changing requirements

Preferred qualifications

• CPA/ CA or similar qualification
• Knowledge of (or experience in) the technology or payments industry.
• Experience working with Oracle Suite
• Experience with Hubble and SQL
• Experience with Analytical Tools like- Power BI, Tableau, KNIME, Python, Alteryx

Role 

We are looking for an Analyst Workforce Management to join our team. This is a hybrid role based in Zscaler office location in Bangalore, reporting to the Director Workforce Management in the Workforce Management Department. The primary objective is to drive operational efficiency by translating complex historical data into actionable strategies. This ensures that service level agreements (SLAs) are met without over-investing in idle resources.

What you’ll do (Role Expectations)

• Deliver precise demand forecasting to align operational capacity with business needs
• Develop and maintain capacity modeling to ensure optimal resource allocation
• Execute trend analysis and contingency planning to proactively mitigate service risks
• Partner with stakeholders to drive continuous improvement and operational excellence
• Optimize operational performance to balance service delivery with cost efficiency

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.

What We’re Looking for (Minimum Qualifications)

• Minimum 4–5 years of Workforce Management experience, including at least 2 years of proven expertise in forecasting & capacity planning
• Proficiency with WFM tools such as Genesys, NICE, or Aspect, or equivalent statistical software
• Strong understanding of quantitative methods including moving averages, exponential smoothing, and regression analysis
• Professional experience in workforce management, supply chain, or operations management
• Advanced skills in Microsoft Excel and data visualization tools like Tableau or Power BI

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Statistics, Business, Information Technology, or Operations Management
• Proactive and detail-oriented approach to identifying and solving complex capacity constraints
• Ability to synthesize complex data into clear recommendations for executive leadership

#LI-HG1

#LI-Hybrid

Role

We are looking for a Deal Desk Manager to join our team in a hybrid capacity in Bangalore, reporting to the Senior Manager, Deal Desk within the Deal Desk department.

An opportunity to join an entrepreneurial, fast-changing environment supporting our Sales organization. You'll partner with multiple internal and external groups including Sales, Finance, Legal, Product Management and Field Sales Operations, Partners/Resellers and Customers to support deals and help drive the expansion of Zscaler Government Solutions across the Federal vertical.

What you’ll do (Role Expectations)

• Lead and advise the sales team on deal strategy and structuring and alternative commercial solutions in a SaaS environment to win deals
• Provide guidance for SFDC CPQ (Salesforce Configure, Price, Quote) quote and contract processes, driving pricing structure and strategy
• Oversee the daily deal and pricing approvals for the applicable region, ensuring compliance to business rules and policies and escalate exceptions
• Build partnerships and collaborate with stakeholder functions
• Identify process and policy gaps and recommend improvements and best practices to enhance productivity and increase deal velocity

Who You Are (Success Profile)

• You are a high-trust collaborator who is ambitious for the team and embraces our challenge culture by giving and receiving ongoing feedback with clarity and respect.
• You operate with urgency and understand that in a high-growth environment, speed and quality are not mutually exclusive.
• You champion simplicity and are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans.
• You are data-driven and use data and analytics to find the truth, measure what matters, and guide informed decisions.
• You lead with integrity, holding yourself and others to a high standard of accountability and building trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Significant experience in deal management and pricing within the high-tech software or SaaS industry
• Bachelor’s Degree in Business, Management, Finance, or a related field, or equivalent professional experience

What Will Make You Stand Out (Preferred Qualifications)

• Excellent analytical skills and advanced knowledge of Salesforce.com, CPQ tools, and Tableau

#LI-Hybrid

#LI-SP4

THE ROLE

As a Staff Software Engineer  within our Drive Qualification Center of Excellence, you will be the technical architect ensuring the world-class reliability of Everpure™ developed SSDs. You will own the validation strategy for hyperscale and system-level performance, transforming complex NAND and NVMe challenges into seamless, high-performance storage solutions. Collaborating across Firmware, Systems, and Program teams, you will move beyond simple testing to define the mission-critical readiness of the Everpure™ Platform.

WHAT YOU’LL DO

• Architect Validation Strategy: Define and own the end-to-end test strategy for major domains including NAND reliability, PCIe Gen6, and OCP compliance, establishing the entry/exit criteria that guarantee product maturity.

• Lead Technical Innovation: Design and implement advanced validation suites and automation frameworks—integrating Everpure™ HYVE-based tools with Jenkins CI pipelines—to scale testing across global hyperscale customers.

• Drive Complex Debugging: Act as the lead investigator for system-level failures, performing deep-dive forensics on NVMe/OCP logs and telemetry to identify root causes and verify high-impact firmware fixes.

• Influence Product Readiness: Represent the Drive Qualification team in cross-functional forums, providing data-driven insights to FW release councils and quality reviews to determine launch risks and coverage.

WHAT YOU BRING

• Storage & Protocol Expertise: Extensive experience in SSD or firmware validation with deep technical mastery of NVMe, PCIe protocols, and OCP specifications, specifically regarding power-loss robustness and data integrity.

• Systems Engineering & Python Mastery: Expert-level Python skills for building modular, maintainable automation frameworks and experience managing large shared codebases within a Linux-heavy CI/CD environment.

• Technical Leadership & Impact: A proven history of leading complex validation projects through the full lifecycle (from ES to GA) and the ability to define success metrics using data analytics platforms like Snowflake or Tableau.

• NAND Fundamentals: Comprehensive understanding of NAND policy and reliability, including P/E cycling, wear-out, and read-disturb behavior under enterprise-grade stress.

• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• Bachelor’s degree in computer science, Information Technology, Engineering or related field.
• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
• Proficiency in SQL, Excel, and Python/R
• Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
• Experience in a commerce media or digital marketing agency is a plus.
• Excellent problem-solving, communication, and project management skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Smartsheet is establishing a new Enterprise Insights & Intelligence team to centralize ownership of corporate metrics, analytics governance, and self-serve data enablement. This is a foundational hire — you will help build this function from the ground up, with direct visibility to senior leadership and the opportunity to shape how the entire organisation consumes and trusts its data.

We are looking for a Senior Business Intelligence Engineer who can operate across three strategic pillars: automating and governing corporate executive reporting, standardising metrics and reporting practices at scale, and enabling self-serve and AI-powered data solutions. Day to day, this means you could be building an automated executive scorecard, codifying metric definitions into a governed semantic layer, standing up an AI agent that lets business users query trusted data in natural language, or leading enablement sessions on our analytics platforms. The thread connecting all of it is ensuring that Smartsheet's data is trusted, consistent, accessible, and ready for both human and AI consumption.

This is not a traditional reporting or data science role. You will work across dbt, MetricFlow, Snowflake, and Databricks to build the governed data layer that underpins everything — from board-level scorecards to LLM-powered insights to self-serve dashboards.

You Will

• Design, build, and maintain governed metric models — standardised, reusable definitions of business KPIs that dashboards, reports, and AI agents all query from a single source of truth
• Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
• Conduct deep dives on key KPIs and company goals, surfacing actionable insights and translating short- and long-term business priorities into data-driven recommendations shared via reviews and async updates
• Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
• Build AI agent integrations (MCP servers, skills, subagents) that allow tools like Claude and Snowflake Cortex to query enterprise data through the semantic layer with metric-correct SQL
• Drive self-serve analytics enablement — documentation, training, dashboard quality checks, and experimentation governance across Amplitude, Tableau, and other platforms
• Partner with Product, Engineering, Finance, GTM, and Customer Success to align metric definitions and data sources cross-functionally
• Translate qualitative UX signals and customer feedback into measurable data pipelines

You Have

• Bachelor's degree (B.Tech / B.E. / B.Sc.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
• 5+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
• Experience with KPI design and insight generation — ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
• Familiarity with dbt (dbt Core or dbt Cloud) and concepts like YAML-based metric definitions and reusable data models; hands-on experience is a plus but not required
• Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
• Experience building semantic layers, governed data models, or canonical metric definitions for downstream consumption
• Working familiarity with AI/LLM tooling — concepts such as MCP (Model Context Protocol), agentic frameworks, or tool-use patterns for large language models
• Proficiency with one or more BI/visualisation tools (Tableau, Amplitude, or similar)
• Strong cross-functional collaboration skills and excellent async communication across time zones (IST / US Pacific overlap expected)
• A proactive, ownership-driven mindset — comfortable building new processes and standards in a greenfield environment

Preferred Qualifications

• Experience building AI agent skills, subagents, or MCP server integrations for LLMs
• Hands-on experience using agentic coding platforms (Claude Code, Cursor, Windsurf, etc.) to streamline and automate analytics workflows
• Software engineering experience (Python, JavaScript/TypeScript) with the ability to contribute to application-level instrumentation code
• Experience with event taxonomy design, behavioural analytics pipelines, or product instrumentation (Amplitude, Segment, etc.)
• Familiarity with metric governance frameworks, data catalogues, or data quality tooling
• Prior experience working in a SaaS or enterprise software environment

We're looking for a Marketing Automation Specialist to join our Marketing Operations team. In this role, you'll be the primary owner of driving communication from our Marketo instance - building, optimizing, and maintaining the automated and batch communications that power our marketing engine. You'll also work across a broader stack including Zoom Events, Salesloft, and Salesforce to ensure seamless campaign execution and reliable data flow across systems.

This is a hands-on, high-volume production role for someone who is deeply fluent in Marketo and comfortable operating across a modern B2B marketing tech stack

This role requires the flexibility to work a swing shift (9:00 am - 6:00 pm on three days and 1:00 pm - 10:00 pm twice a week) allowing for essential real-time overlap with our US office

You Will:

Marketing Campaign Operations (Marketo)

• Own the day-to-day administration and production within our Marketo instance, serving as the internal subject matter expert
• Design, build, and optimize automated nurture programs, batch email campaigns, smart campaigns, and segmentation logic
• Manage all campaign operations including email builds, landing pages, forms, tokens, and A/B testing
• Ensure database hygiene, deliverability best practices, and compliance with data privacy regulations (GDPR, CAN-SPAM)
• Maintain performance reports and dashboards in partnership with BI to track program effectiveness.

Webinar Production + Management (Zoom Events)

• Support technical setup and execution of webinars and virtual events in Zoom Events, including registration, integrations, and post-event automation
• Ensure attendee and engagement data flows accurately into Marketo and Salesforce for follow-up nurture and attribution tracking
• Analyze event performance and contribute to optimization of the virtual event program

Cross-Functional Collaboration

• Act as the go-to resource for campaign managers, demand gen, and SDRs on Marketo best practices and marketing technology questions
• Document processes, workflows, and system configurations to ensure continuity and scalability
• Evaluate and recommend improvements to the marketing tech stack as business needs evolve

Strong Project and Stakeholder Management 

• Manage prioritization and input from business owners across the organization. 
• Maintain SLAs and processes to ensure we produce high quality, timely work for our stakeholders within our Smartsheet program management environment. 

You Have:

• 3–5 years of experience in marketing operations or marketing automation in a B2B SaaS environment
• Deep, hands-on Marketo expertise that includes: program building, smart lists, lead scoring, tokens, API integrations, and reporting; Marketo Certified Expert (MCE) strongly preferred
• Solid working knowledge of Salesforce CRM, including campaign management, lead management, and reporting
• Experience with Zoom Events or a comparable virtual event platform
• Familiarity with Salesloft or a comparable sales engagement tool
• Strong understanding of B2B lead lifecycle, funnel management, and demand generation principles
• Sharp attention to detail and a genuine commitment to clean, reliable data and email sends
• Strong communication and collaboration skills across marketing, sales, and operations teams

Nice to Have

• Experience with BI or reporting tools such as Tableau
• Familiarity with UTM tracking, attribution modeling, or revenue operations frameworks

Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. 

A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. 
• Contribute to the design standards and architectural principle standards, designs and processes.
• Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
• Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
• Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
• Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
• Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
• Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
• Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
• Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
• Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
• Familiarity with AWS solutions such as S3, EC2, VPC.

Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.

Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.

You Will:

• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
• Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
• Mine large datasets to ensure data accuracy and completeness for reporting purposes   
• Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports     
• Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics   
• Automate report generation and distribution to improve efficiency
• Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
• Ensure data governance and data integrity across all reporting tools and platforms
• Proactively identify and propose improvements to existing reporting processes and systems
• Be a mentor and leader to the more junior analysts on the team
• Perform other duties as assigned

You Have:

• Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
• 5+ years of experience in an analytics/engineering role with increasing responsibility
• Experience in Cloud and SaaS go-to-market (GTM)
• Expertise in SQL and preparing data for analysis, modeling, and visualization
• 3+ years of experience using Python for data analysis / automation 
• 3+ years of experience with dbt core
• 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc. 
• Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.) 
• Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.

Nice To Have:

• Experience building ML models
• Proficiency with Tableau preferred
• Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
• Experience publishing and presenting data and findings to executives and non-data users

Smartsheet is seeking a Senior Data Scientist to drive growth and customer retention through Applied AI and advanced analytics. With thousands of subscribing organizations and millions of users, you will have the opportunity to make a meaningful impact by leveraging data science to drive Sales, Customer Success, and Monetization strategies. You are curious, have strong data science and machine learning skills and the ability to communicate key insights effectively. You will work primarily with Go to Market Teams and will be a part of Smartsheet's Data Science & Business Intelligence team.

You Will:

• Partner with Sales and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
• Develop and implement machine learning based Cross-sell/Upsell models and Product Recommender models to drive Sales & Monetization
• Build and deploy predictive models for Customer Churn and identify proactive churn risk prediction signals to drive retention
• Drive the full analytics lifecycle from understanding the business objective, analyzing the data to developing automated reporting and visualizations
• Collaborate with cross-functional teams to integrate data science solutions into business processes
• Effectively present analysis to both technical and non-technical audiences and give data-based recommendations to encourage data-driven decisions 
• Drive a data culture within the Go To Market  teams

You Have:

• Bachelor's degree and 8+ years of experience (or 10+ years of experience)
• Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction and recommender systems
• Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
• Strong programming skills in Python or R
• Proficient in SQL and skilled in visualization tools (ex. Tableau)
• Strong track record of forming effective cross-functional partnerships
• Experience using data to meaningfully impact Sales & Customer Success strategy execution
• Experience communicating analysis clearly to others
• Ability to research and learn new technologies, tools, and methodologies
• Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
• As a senior member of the data science team help mentor and help grow members of the team

Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue).  Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players..

What You’ll Do 

• Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports
• Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game
• Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis
• Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting
• Design and implement advanced statistical testing for specific problem-solving needs(e.g. A/B testing)

What We’re Looking For 

• B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
• 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis
• 2+ years’ experience using SQL/Python, including complex queries from multiple data sources
• 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system
• Experience creating, operating and analyzing multiple simultaneous A/B tests
• Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis
• Strong communication and presentation skills, including extensive use of chart and table tools
• Passion for speed and large data sets

Bonus Points 

• Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making.
• Advanced degrees a plus
• 2+ years within the mobile gaming domain
• Strong statistical background
• Experience with R, SAS, SPSS, Matlab or other statistical modeling packages
• Had experience of onboarding/early funnel analysis 

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure!

Why you should join us?

At our core, we believe in the power of data to drive smarter decisions and transform operations. As an Operational Data Scientist, you'll be at the forefront of this mission—leading initiatives that streamline business processes, accelerate time to insight, and align analytics with strategic goals.

You'll work in an environment that values rigor in experimental design, seamless model integration, and impactful operational analytics. We’re not just looking for technical talent—we want a strategic thinker and a collaborative leader who thrives at the intersection of data, business, and execution.

If you're passionate about solving complex problems, influencing high-stakes decisions, and driving measurable outcomes, this is the opportunity to make your mark. Join us and be part of a team that turns data into action—and action into impact.

What will you be doing?

1. Experiment Design and Interpretation:

• Lead and design complex experiments, addressing challenges with statistical rigor.
• Interpret results and provide actionable insights to drive business decisions.

2. Data Engineering Workflow and Design:

• Partner with stakeholders to ensure data systems and structures are efficient and reliable.
• Reduce turnaround time (TAT) for analytics, feature exploration, and experimentation setup

3. Data Science Model Integration:

• Collaborate with data science teams to integrate models into workflows.
• Define success metrics, identify inefficiencies, and leverage model outputs to enhance operations.

4. Proactive and Reactive Analysis:

• Conduct exploratory data analysis, simulations, and hypothesis testing.
• Provide strategic support and actionable insights to address business challenges.

5. Health Metrics Design and Implementation:

• Define, implement, and monitor key performance metrics to assess platform performance and user behavior.

6. Leadership and Collaboration:

• Serve as a liaison between cross-functional teams, advocating for data-driven decisions.
• Mentor analysts and promote a culture of analytics within the organization.

7. Product Impact Tracking:

• Design and implement analyses to monitor product impact.
• Ensure alignment of analytics initiatives with broader business objectives.

What are we looking for?

Skills and Attributes:

• 8–15 years of total professional experience, preferably in Tech, Consulting, or high-scale Analytics organizations.
• 4+ years of people management experience, leading data science, analytics, or operational analytics teams in system-heavy environments.
• Advanced proficiency in SQL and Python — able to drive deep analyses, RCA investigations, and metric instrumentation independently.
• Hands-on experience with Spark or distributed data processing frameworks for scalable analysis.
• Proven ability to design and deploy control systems or feedback loops in collaboration with engineering teams to tune complex algorithms in production.
• Successfully implemented and maintained Data Science models in production, including monitoring and post-deployment tuning.
• Solid foundation in statistical methods, hypothesis testing, and experimental design, especially as applied to system performance and anomaly detection.
• Comfort working with observability and visualization tools — Tableau, Looker, Power BI, or internal metric dashboards like Grafana or Superset.
• Strong record of cross-functional collaboration with engineering, product, SRE, and ML teams to drive system health and platform improvements.
• Demonstrated ability to work through ambiguity, structure diagnostic approaches, and drive data-informed operational decisions.
• Strong strategic and systems thinking mindset — able to reason about interdependent metrics and optimize for system-wide health.

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

• Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
• Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
• Be a data architect for Finance , bring different data into cohesive and answer critical questions
• Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
• Scale data infrastructure to support large volumes and complex financial models.
• Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
• Translate complex financial concepts and KPIs into scalable, maintainable data models.
• Implement strong controls for data quality, lineage, and governance.
• Maintain clear documentation of data transformations, metric definitions, and AI model logic.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
• Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise 
• Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
• Experience with data orchestration tools (Airflow, dbt) and tableau platform
• Hands-on experience with Python, PySpark, or R for automation and model integration.
• Proven ability to translate financial logic into scalable data models.
• Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred. 
• Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
• Ability to evaluate and apply AI responsibly in financial contexts.

 #LI-ONSITE

THE ROLE

As the Lead Architect, you will report to the Product Manager for Partner Intelligence and own the technical vision and scalability of the platform. Partner Intelligence is a cornerstone of Pure’s Partner Experience strategy, delivering actionable insights and analytics that help partners grow their business with Pure. You’ll drive architectural design, guide development, and work hand-in-hand with the Product Manager to translate the roadmap into a secure, high-performing, and extensible solution that supports Pure’s long-term partner autonomy goals.

WHAT YOU'LL DO

• Architect for growth: Design and evolve a scalable, secure, and flexible architecture for Partner Intelligence.
• Define standards: Establish best practices for data, integration, and code quality across contractors and internal development teams.
• Guide development: Review and validate technical designs, ensuring consistency and maintainability across releases.
• Integrate seamlessly: Partner with Data Engineering, and IAM teams to align with systems like Partner Central, Incentive Management, and CPQ.
• Shape the roadmap: Collaborate with the Product Manager on delivery plans, and technical milestones.
• Modernize experience: Oversee UX and front-end evolution as the platform expands to new use cases.
• Optimize performance: Drive architectural improvements for speed, scalability, and partner adoption.
• Mentor and enable: Provide technical direction to contractors and coach teams on scalable architecture patterns.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 12+ years in software engineering or architecture, including large-scale SaaS or analytics platforms.
• Expertise in modern web and data architectures (e.g., Salesforce Platform, Snowflake, React/Node.js, Tableau/CRMA, AWS, or similar).
• Strong understanding of API-driven integration, data modeling, and performance optimization.
• Experience leading distributed or vendor-based development teams.
• Proven ability to balance technical depth with business impact and roadmap execution.
• Excellent communication, documentation, and stakeholder-alignment skills.

#LI-ONSITE

THE ROLE

As a Staff Software Engineer  within our Drive Qualification Center of Excellence, you will be the technical architect ensuring the world-class reliability of Everpure™ developed SSDs. You will own the validation strategy for hyperscale and system-level performance, transforming complex NAND and NVMe challenges into seamless, high-performance storage solutions. Collaborating across Firmware, Systems, and Program teams, you will move beyond simple testing to define the mission-critical readiness of the Everpure™ Platform.

WHAT YOU’LL DO

• Architect Validation Strategy: Define and own the end-to-end test strategy for major domains including NAND reliability, PCIe Gen6, and OCP compliance, establishing the entry/exit criteria that guarantee product maturity.

• Lead Technical Innovation: Design and implement advanced validation suites and automation frameworks—integrating Everpure™ HYVE-based tools with Jenkins CI pipelines—to scale testing across global hyperscale customers.

• Drive Complex Debugging: Act as the lead investigator for system-level failures, performing deep-dive forensics on NVMe/OCP logs and telemetry to identify root causes and verify high-impact firmware fixes.

• Influence Product Readiness: Represent the Drive Qualification team in cross-functional forums, providing data-driven insights to FW release councils and quality reviews to determine launch risks and coverage.

• Elevate Engineering Talent: Set the technical bar for the Bangalore team by mentoring senior engineers (IC3/IC4), conducting high-level code reviews, and evolving one-off prototypes into scalable, production-grade validation tools.

WHAT YOU BRING

• Storage & Protocol Expertise: Extensive experience in SSD or firmware validation with deep technical mastery of NVMe, PCIe protocols, and OCP specifications, specifically regarding power-loss robustness and data integrity.

• Systems Engineering & Python Mastery: Expert-level Python skills for building modular, maintainable automation frameworks and experience managing large shared codebases within a Linux-heavy CI/CD environment.

• Technical Leadership & Impact: A proven history of leading complex validation projects through the full lifecycle (from ES to GA) and the ability to define success metrics using data analytics platforms like Snowflake or Tableau.

• NAND Fundamentals: Comprehensive understanding of NAND policy and reliability, including P/E cycling, wear-out, and read-disturb behavior under enterprise-grade stress.

• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

Rubrik has become the fastest growing enterprise in Silicon Valley.  We are seeking a passionate and highly driven individual to join a driven, fun and talented Sales Operations team!  This team is integral to the success of the sales organization by helping to drive revenue, predictable growth, and sales productivity. This is a full-time position located in India (with proximity to Bangalore office).

Where you can make an impact:

• Support the sales teams with CRM operations including quoting, account ownership transfers, opportunity updates and other critical functions
• Facilitate system access for sales representatives through established onboarding & offboarding processes (SFDC, Clari, Tableau, etc.)
• Work with cross-functional teams (Order Mgmt., Deal Desk, Finance, Sales Management and Product Ops.) to drive accurate and timely reporting and communication
• Serve as the Field Sales point of contact for general inquiries and process guidance 
• Support the preparation of Quarterly Business Reviews 
• Take ownership of ad hoc projects that improve efficiency and sales productivity

Background:

• 5+ years experience in Sales Operations or similar role
• Bachelors degree or equivalent work experience
• Preferred: Experience with Salesforce (SFDC) CPQ, Clari, and Advanced Excel
• Prior experience with quote building, pricing, & operational support for large customer segments or business units
• Experience in structuring problems, taking initiative and following through with strong execution
• Strong experience with managing large datasets via Excel
• Strong people skills: Ability to develop relationships, drive consensus, and results from cross-functional teams
• Passionate and motivated to make a massive impact and work hard in a fast-paced environment
• Organized, detail oriented, and able to prioritize through sound judgement
• Proactive, creative, and flexible  
• High-energy, company first approach, and consistently positive attitude

#LI-RS1

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.

Location: Bangalore

Shift: EST (5:30 P.M IST- 2:30 A.M IST)

What we’re looking for:

 You are an aspiring Business Intelligence, Data & Analytics Professional with 6+ years of experience in supporting the business in delivering high quality strategic and tactical analysis. You will have experience in analyzing complex business problems using data and provide actionable insights to our customer facing teams. You will have experience in identifying and interpreting trends and patterns in datasets to attribute key business drivers. You will have strong knowledge of SQL, CRM (Salesforce), Clari, Excel, Business Intelligence systems such as Tableau and Power BI. If you want to be part of a growing business, have a strong interest in learning and implementing innovative solutions to business challenges, and are passionate about winning, get in touch with us to explore the exciting opportunity at Rubrik. 

Position Overview:

As a Business Analyst you will be given the opportunity to tackle challenges impacting the growth of Rubrik’s growing subscription renewals business. This team is responsible for providing forecast clarity, scoring renewal growth and retention likelihood, customer analytics, and developing retention action plans working closely and partnering with Sales & Renewal Ops.

Key Responsibilities:

• Perform weekly, monthly and quarterly opportunity pipeline analysis, data validation and identify gaps and actions required
• Identify process automation and improvement opportunities and work with cross-functional teams to drive these initiatives
• Communicate regularly on business/team performance, making recommendations based on analysis of key performance areas
• Act on behalf of the leadership (e.g. drive global churn forecasting, identify direct and channel renewal improvements, forecasting mechanics evolution to incorporate customer health insights)
• Support the development and presentation of the business outcomes to stakeholders with a view to assisting them to drive performance in their areas (e.g. churn/upsell attribution etc)
• Provide critical business insights to Customer Success and Sales leadership based on business acumen and data analysis, be able to identify issues, recommend action plans and execute.
• Drive culture of continuous improvement on performance, process, automation, and data accuracy
• Generate regular and ad-hoc business analysis for Renewals and Sales Leadership to monitor performance across a range of key business drivers and Renewals Team performance, including direct and partner renewals
• Compare business performance against defined KPIs to identify trends and share key learnings and drive new operational programs
• Analyze data to determine if the customer is “At-Risk” and ensure early engagement.
• Analyze customer data to reduce the churn and identify the root cause of churn

Basic Qualifications

• 6+ years overall professional experience.
• A Bachelor's Degree focused in an analytically rigorous field of study is preferred, a MBA is a huge plus.
• Self-starter with outstanding problem-solving skills
• Proven track record in juggling through multiple projects and deadlines yet driving them to completion
• Have strong business acumen, excellent collaboration and stellar communication.
• Experience with Data Analytics and Modelling and ability to work with a degree of independence on data analysis.
• Excellent time management skills and ability to manage multiple priorities.
• Knowledge of Rubrik products and services preferable.

Rubrik is one of the fastest growing companies in Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats. Rubrik has raised over $553 million in venture funding, most recently at a valuation of $3.3 billion. We’ve been recognized as a Forbes Cloud 100 Company two years in a row and as a LinkedIn Top 10 startup. 

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-DR2

GSI Services Program Manager

Location: Bangalore, India

Job summary

We are seeking a highly skilled and customer-focused Services Program Manager to develop a post-sales enablement and service-delivery quality framework for Rubrik’s Global System Integrator (GSI) partners.  Success in this role guarantees consistent and successful service delivery from Rubrik’s largest and most complex GSI partners to ensure customer success, satisfaction, and retention worldwide.   Pro-active and assertive development of the partner services relationships is a critical success factor for this role. It is both strategic and tactical and requires clear operational oversight, strong partner advocacy, and an ability to incent and reward top performance from Rubrik SMEs at all levels within the partners’ organizations.  The ideal candidate understands how to work effectively with the Partner’s organization in collaboration with Rubrik’s Sales and Service Delivery teams to make Rubrik the preferred vendor for easy enablement and adoption of Rubrik best practices to deliver high value and margin-rich services to their largest and most complex customers.

The GSI Services Program Manager is a critical contributor in the Partner Services Operations team within Rubrik’s Global Customer Success organization.  Partner Services Operations enables partners to deliver post-sales support and services to their customers using reliable and innovative systems, processes and programs that ensure a high level of Customer Satisfaction with minimal dependence on Rubrik.  The ideal candidate will have strong technical acumen, excellent analytical and problem-solving skills, and a passion for collaborating with and advocating for partners for the benefit of our mutual customers.

Key Responsibilities

• Training & Enablement: Facilitate and track role-based training and certification to GSIs that ensures they are well-equipped to deliver services aligned with Rubrik’s company standards, in partnership with Rubrik University, Rubrik Sales, and Global Customer Success.
• Program Leadership & Management: Lead and coordinate a scalable high-growth engine of post-sales support and professional services GSI engineers.  Motivate this strategic workforce to achieve high Rubrik standards in product knowledge and service quality.
• Partner Collaboration: Build and maintain strong relationships with GSI partners and their Rubrik account teams, acting as the primary point of contact for post-sales service issues, escalations, and proactive management of a seamless hand-off from sales to services.  Must be able to navigate and present to all management levels within the partner and Rubrik organization.
• Customer Satisfaction: Maintain strong customer focus to ensure all managed partners are delivering world-class customer services, in collaboration with Rubrik, by measuring and monitoring customer satisfaction.
• Process & Quality Improvement: Implement and refine processes for support and professional services delivery, promoting best practices, scalability, and eliminating friction and inefficiencies. 
• Metrics & Reporting: Develop and maintain program KPIs, track performance metrics, and prepare regular reports for executive leadership and stakeholders. Facilitate Services QBRs to ensure continuous improvement on both sides of the partnership.  Analyze program quality metrics to correctly assess and incent high partner performance, while requiring non-performers to improve or exit the program.
• Partner Advocacy: Comprehensively understand the partners’ go-to-market strategy, global support structure, and service delivery plan; document and present partner’s approach to internal key stakeholders as an advocate for what the partners need from Rubrik to be successful.
• Support Oversight: Provide oversight on partner’s open support cases and product gaps, to ensure timely resolution and appropriate resourcing and visibility within Rubrik.  Facilitate resolution for any customer complaints regarding partner-delivered services. 

ABOUT YOU

• Bachelor’s degree in Computer Science or related technical field; advanced degree preferred.
• 10+ years of experience in program management, operations, technical support, or professional services, in a customer-facing role at an enterprise technology solution provider.
• Strong technical background and aptitude in Networking, Storage, Backup and Recovery, Cloud solutions (AWS, Azure, GCP etc.), and Hypervisors (VMware, Hyper-V, etc.). Cyber Security experience is desired. 
• Demonstrated experience working with GSIs or large multi-regional channel partners. Quickly understands the business issues, data challenges, and both the commercial and services aspects of strategic partnerships within global service delivery teams.
• Strong leadership and stakeholder management skills with excellent communication and presentation ability, specifically to summarize complex product issues into clear executive summaries.
• Strong project management background, with demonstrated success coordinating multiple programs, workstreams, and people toward common, measurable objectives.
• Highly detail-oriented with strong analytical skills, including hands-on experience analyzing customer data to facilitate data-driven decisions and to develop executive presentations. Experience with Salesforce, Atlassian, and Tableau reporting and data preferred.
• Motivated, proactive self-starter with a customer-centric mindset, focused on delivering measurable outcomes from cross-functional teams, including those outside direct influence.
• Able to work independently in a fast-paced growth environment.
• Able to travel to other locations and customer sites on occasion as required.
• Able to adjust work hours to overlap with USA and EMEA business hours as required.

**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

The Data Engineer will work closely with clients and the eCS Biometrics team to optimize the elluminate® platform for end-to-end solutions to aggregate, transform, access and report on clinical data throughout the life cycle of a clinical trial.  This includes study design in elluminate®, collaboration on specifications, and configuration of the various modules to including Data Central, Clinical Data Analytics and Trial Operational Analytics, Risk-Based Quality Management (RBQM), Statistical Computing Environment (SCE) and Operational Insights. The Data Engineer will be involved in standard ETL activities as well as programming custom listings, visualizations and analytics tools using Mapper and Qlik. The position involves a high level of quality control as well as adherence to standard operation procedures and work instructions and a constant drive towards automation and process improvement.

KEY TASKS & RESPONSIBILITIES

• Design, develop, test, and deploy highly efficient code for supporting SDTM, Custom reports and Visualizations using tools like MS SQL, elluminate® Mapper and Qlik
• Configure ETL processes to support of the aggregation and standardization of clinical data from various sources including EDC systems, SAS and central laboratory vendors
• Work with Analytics developers, other team members and clients to review the business requirements and translate them into database objects and visualizations
• Manage multiple timelines and deliverables (for single or multiple clients) and managing client communications as assigned
• Provide diagnostic support and fix defects as needed
• Ensure compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures
• Other duties as assigned

CANDIDATE’S PROFILE

Education & Experience

• 3+ years of professional experience preferred
• Bachelor's degree or equivalent experience preferred
• Experience with database/warehouse architecture, design and development preferred
• Knowledge of various data platforms and warehouses including SQL Server, DB2, Teradata, AWS, Azure, Snowflake, etc.
• Understanding of Cloud / Hybrid data architecture concepts is a plus
• Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards
• Experience in Pharmaceutical/Biotechnology/Life Science industry is a plus

Professional Skills

• Critical thinking, problem solving and strong initiative
• Communication and task management skills while working with technical and non-technical teams (both internal to eCS and clients)
• Must be team oriented with strong collaboration, prioritization, and adaptability skills
• Excellent knowledge of English; verbal and written communication skills with ability to interact with users and clients providing solutions
• Excited to learn new tools and product modules and adapt to changing technology and requirements
• Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred

Technical Skills

• Proficient in SQL, T-SQL, PL/SQL programing
• Experience in Microsoft Office Applications, specifically MS Project and MS Excel
• Familiarity with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle
• Familiarity with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related
• Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related

Brief Description:    

The Manager – Dealdesk will serve as the GTM Operations triage lead for InMobi Exchange, bridging business and operations across time zones. This role partners closely with Sales, Client Development, Agency Development, PTD, DPM, and product teams to drive real-time campaign and deal operations, ensuring flawless execution, same-day triage, and data-driven insight delivery.

This is a demand-heavy role focused on PMP deal analysis, campaign health monitoring, and RFP triage, while also acting as a quality and process gatekeeper. The ideal candidate combines deep adtech expertise, operational excellence, and strong analytical rigor to drive execution efficiency, elevate campaign outcomes, and close feedback loops between GTM and Central Ops.

Key Responsibilities:

• Review, evaluate, and approve complex and non-standard deals across PMPs based campaigns, strategic partnerships, and enterprise agreements.
• Ensure pricing, margins, discounts, rebates, and incentives align with company guardrails.
• Drive consistency in deal frameworks across regions and business units.
• Partner closely with Sales to structure strategic deals that balance revenue growth and profitability.
• Work with RevOps to ensure accurate documentation and system alignment (SFDC, BI tools, pricing trackers).
• Interface with Product and Operations for feasibility validation and operational impact assessment.
• Conduct deal-level P&L analysis including margin, cost allocation, rebates, tech fees, and platform costs.
• Model revenue scenarios and long-term account value.
• Identify revenue leakage risks and ensure proper controls.
• Review historical performance data to inform deal decisions.
• Define and continuously improve Deal Desk SOPs and approval workflows.
• Reduce deal scale turnaround time (TAT) without compromising governance.
• Implement deal approval matrices and automated workflows in SFDC.
• Maintain clean documentation and audit trails for compliance.
• Establish standardized pricing templates and commercial playbooks.
• Track discount trends, margin erosion, exception frequency, and revenue impact.
• Provide regular reporting to leadership on deal quality and profitability metrics.
• Identify patterns in pricing pressure and propose a corrective strategy.
• Drive data-backed commercial decision-making.
• Foster a culture of disciplined, data-driven deal execution.

Requirements: 

• 8+ years of experience in programmatic operations, campaign management, or ad operations, preferably with global adtech exposure. 

• Strong expertise in PMPs, Private Auctions, Brand IOs, and campaign setup workflows across DSPs (DV360, TTD, Xandr, Beeswax). 

• Advanced proficiency in Excel, SQL, and BI/reporting tools (Looker, Tableau, Power BI). 

• Demonstrated ability to analyze campaign data, detect anomalies, and communicate insights effectively. 

• Strong grasp of creative QA, pacing, inclusion logic, and deal health optimization. 

• Excellent stakeholder management across Sales, CSMs, Product, and HQ Ops teams. 

• Ability to work across multiple time zones and ensure operational continuity between North America and India HQ. 

• Proven track record in mentoring, training, and enabling new hires in ad operations or analytics. 

• High attention to detail, a structured problem-solving approach, and a passion for operational excellence. 

Who we are & What do we do?    

InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies.    

What’s the InMobi family like?    

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion.    

What can we promise?    

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.    

What is the team like?    

InMobi Central Operations is often thought of as the engine room, and that's true we are also the brains that hook various systems together. Inherently, it is the information hub in the company. Core Operations has their feet in both business & operational areas and learns to think about things from both perspectives, giving them a unique, consultative strength. The team has a key seat at the table from a strategic perspective and given the unique strength we possess; we are the people that really make a difference in the operational world.     

Role Overview

As a Lead Data Analyst, you will provide strategic insights and translate complex data into narratives that drive our global Finance & Strategy decisions. You will collaborate across Finance & Strategy to build high-impact, data-driven models and analytics to enable rapid decision-making. While your primary focus is on strategic analysis, you will also design and govern an Analyst-Ready Data Layer that is the foundation for analytics across the team. By combining deep SaaS business context with technical data engineering, you ensure our insights are not only impactful but built on a scalable, audit-ready infrastructure.

Key Responsibilities

• Revenue Cycle & Predictive Modeling: Optimize the opp-to-cash journey by analyzing ARR-to-revenue conversion rates and renewal patterns, while building early-warning indicators to signal risks and opportunities in the long-term outlook.
• SaaS Unit Economics & Business Diagnostics: Lead advanced analytics on core business drivers, correlating hosting costs and service delivery against gross margins while modeling consumption-based indicators to identify proactive upsell and churn risks.
• Executive Storytelling: Partner with finance leadership to evolve and elevate the delivery of professional reporting packages for internal leadership and investment partners, ensuring monthly business reviews and board decks are supported by clear, intuitive narratives.
• Analyst-Ready Data Layer Architecture: Design and govern a dedicated business data layer by transforming raw data from systems like NetSuite, Salesforce, and Coupa into functional, high-performance schemas that eliminate manual data preparation for the global team.
• Technical Innovation & Partnership: Serve as the primary bridge to central Data Engineering to influence warehouse schema design while piloting AI-driven concepts to automate data anomaly detection and streamline the analytical pipeline.

The Profile

• Experienced Strategist: 8+ years of experience in data analytics, engineering, or database architecture, with a proven track record of supporting complex financial or business modelling.
• SaaS Industry Expertise: Deep understanding of high-growth SaaS environments and the specific data structures required to model subscription-based metrics like ARR, CAC, and LTV.
• Advanced Analytics & Visualization Toolkit: Expert proficiency with modern BI platforms (e.g., Tableau, Power BI, or Looker) to transform the Analyst-Ready Data Layer into interactive executive dashboards. Mastery of advanced Excel or Google Sheets for high-rigor financial modeling is essential.
• Technical Power User: Mastery of advanced SQL and deep experience navigating modern data warehouse environments to move data from raw sources into functional models.
• Bridge Builder: Exceptional at translating complex business needs from business leaders into technical execution and high-performance data schemas.

What is The Role

To support our continued growth and build the outstanding Global Finance/ Compensation organization, we are looking for a Sales Strategy and Finance Analyst to join our fun, growing, and collaborative team!

We will look to you to help continue to work with vital partners within Elastic to assess and capture sales compensation requirements, maintain and improve the Excel quota models used to provide vital data to the Sales Compensation and Finance team. Above all, this role will care and ensure our global sales organization, its leaders, have a smooth running commissions process, while meeting Elastic’s business needs as they change.

If you are passionate about driving business results and you are driven for an opportunity with a dynamic, fast-paced organization and be part of a distributed team, this could be an excellent fit.

What You Will Be Doing

• Sales Compensation program implementation each fiscal year by working closely with internal partners to analyze and capture all required sales comp plan components for our team so that they can set up the Xactly system.
• Collaborate with the Sales Strategy team on a monthly basis to acquire quota and vital data for current and new sales rep hires.
• Build and maintain a global sales quota model, commission rates, and any vital information for setting up sales rep to our colleagues.
• Provide ad hoc analysis and attainment data for our partnering teams.
• Identify and drive process improvements by providing key inputs during process standardization during fiscal year.

What You Bring

• Advanced Level Proficiency with Excel and attention to detail. Having experience with large data and Excel formulas to navigate large files is required.
• 2+ years of work experience in Sales Compensation / Operation / Analytics area (knowledge of sales compensation, quota process, year-end and month close activities).
• Experience with Xactly, Tableau, and AI (ChatGPT, Claude, etc.) is nice to have.
• Excellent communication and engagement skills (you will be working cross functionally across different organizations).
• Strong analytical and reasoning skills, a demonstrated professional experience in content creation, data analysis & reporting.
• Comfortable with fast pace environments and desire to own, re-build, improve upon existing processes.
• Standout colleague who can partner well across various departments but also able to work independently.
• Highly collaborative style and the ability to adjust on the fly to new demands as team and goals grow.

An overview of this role

As a Senior Data Analyst on GitLab's Enterprise Analytics team, you'll support some of GitLab's most visible go-to-market and executive reporting. You'll work closely with Sales, Marketing, Revenue Operations, Finance, and analytics partners to deliver company-level reports, go-to-market performance views, and lifecycle reporting that leaders use to run the business. Working in Snowflake, dbt, Tableau, and VS Code, you'll turn ambiguous business questions into trusted, well-documented data products that serve as a single source of truth for performance and targets versus actuals. You'll also help improve our Enterprise Analytics handbook and core data foundations so strategy, processes, and metric definitions are clear and usable in our all-remote, values-driven environment.

What you'll do

• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.
• Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.
• Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.
• Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.
• Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.
• Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.
• Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.
• Share best practices in SQL, data visualization, and go-to-market analytics, including code reviews and pairing support on high-priority dashboards.

What you'll bring

• Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders.
• Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views.
• Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.
• Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics.
• Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality.
• Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences.
• Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently.
• Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.
• Experience with dbt and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required.

About the team

The Enterprise Analytics team is a centralized, cross-functional partner to GitLab's go-to-market organization and executive leadership. The team turns data from systems such as Snowflake, Salesforce, GitLab, and other business platforms into actionable insights and self-service reporting that support operating reviews and strategic decision-making. You'll join a fully remote, globally distributed team that collaborates asynchronously to define shared metrics and deliver reporting that leaders can trust. We document our strategy and processes in the handbook so stakeholders can use data more independently. The team is currently focused on scaling company-level scorecards, new-customer and first-order reporting, and go-to-market performance analytics across motions.

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

Job Title: Staff Software Engineer, AI

Locations: Bangalore

Reports to: Sr. Manager, AI/ML.

A quick snapshot…

As a Staff Software Engineer, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…

This is one of the critical roles in the project, where you will be an expert in product development, a good team player, and will lead and mentor your team members. We believe in using the best tools for the task at hand so the ability and desire to learn new programming languages and technologies is necessary. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. This role determines the root cause for the most complex software issues and develops practical, efficient, and permanent technical solutions.

Are you the person we’re looking for?

Experience: 8+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions.

Advanced Software Development: Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage.

GenAI Product Development: Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance.

Technical Leadership: Take ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence.

Project Ownership: Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion.

Architectural Design: Contribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset.

Code Review & Best Practices: Conduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement.

Testing & Quality Assurance: Design and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health.

Service Health & Reliability: Monitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability.

Educational : Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred.

Here’s what will give you an edge…

Technical Expertise: Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming, and concurrency.

Cloud & DevOps Proficiency: Extensive experience with cloud technologies (e.g., GCP, AWS, Azure), containerization (e.g., Docker, Kubernetes), and CI/CD practices. Strong understanding of version control systems (e.g., GitHub) and work tracking tools (e.g., JIRA).

AI/GenAI Knowledge: Familiarity with GenAI frameworks (e.g., LangChain, LangGraph), MLOps, and AI lifecycle management. Experience with model deployment and monitoring in cloud environments.

Preferred Skill sets/Tools:

AI & Machine Learning: Hands-on experience with advanced ML algorithms, including generative models, NLP, and transformers. Knowledge of industry-standard AI frameworks (e.g., TensorFlow, PyTorch) and experience with data preprocessing and model evaluation.

Data & Analytics Tools: Proficiency with relational and NoSQL databases (e.g., MongoDB, MSSQL, PostgreSQL) and analytics platforms (e.g., BigQuery, Snowflake, Tableau). Experience with messaging systems (e.g., Kafka) is a plus.

Testing & Quality: Experience with test automation tools (e.g., PyTest, xUnit) and CI/CD tooling such as Terraform and GitHub Actions. Strong emphasis on building resilient and testable software.

Advanced Cloud Knowledge: Proficiency with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow, with a focus on deploying AI models at scale.

#LI-UB1

About the role

As an early member of our India Revenue Strategy & Operations team, you'll play a hands-on role supporting revenue growth across key market segments by partnering with sales leadership to execute region-specific strategies. You'll be close to the day-to-day of the business — running the operational cadence, building the analysis, and keeping our systems and processes running smoothly as we scale in India.

You'll work closely with S&O counterparts across Japan, South Korea, Singapore, Australia, and the wider APJ region, learning from and contributing to how we operate across the region.

Responsibilities:

Go-to-Market Operations:

• Support the Go-to-Market planning process for India, including quarterly and annual cycles, and help prepare inputs for target setting with Finance.
• Assist in territory and account segmentation, keeping assignments accurate and up to date as the business evolves.
• Build and maintain reporting on region-specific sales metrics, pipeline health, and forecast accuracy.
• Pull together market and competitive data to support regional expansion priorities.
• Support partner and alliance execution, including co-sell tracking, partner pipeline hygiene, and joint planning logistics.

Analysis & Insights:

• Dig into sales data to surface trends, risks, and opportunities, and translate findings into clear recommendations for sales leadership.
• Build dashboards and recurring reports that give the team visibility into what's working and what isn't.
• Prepare materials for business reviews, QBRs, and leadership updates — pulling the data, building the slides, and helping shape the narrative.

Operations & Systems:

• Execute day-to-day operational processes including account transitions, CRM updates, opportunity hygiene, and data management.
• Help maintain and improve our Salesforce setup, reports, and dashboards for the India team.
• Troubleshoot issues for sales reps and leaders, and partner with global RevOps to implement improvements.
• Support adoption of sales tools and enablement resources across the India team.

Required qualifications:

• 10 to 12 years of experience in revenue operations, sales strategy, business operations, or a related analytical role in B2B SaaS or enterprise software
• Strong analytical and Excel/Google Sheets skills, with the ability to turn raw data into clear insights
• Hands-on experience with Salesforce (reports, dashboards, data management) and comfort working in BI tools (e.g., Tableau, Looker)
• Strong attention to detail and a bias toward action — you like getting into the weeds and shipping work
• Good cross-functional communication skills, with the ability to partner with sales reps, managers, and adjacent teams
• Based in India with working proficiency in English

Strong candidates may also have:

• Exposure to territory design, quota setting, or sales compensation work
• Experience supporting GTM planning cycles or building executive-level reporting
• Familiarity with the broader APJ region and curiosity about how different markets operate
• Experience in a high-growth B2B software environment
• Background in consulting, finance, or business operations

OVERVIEW:

The Data Engineer, Pr will work closely with clients and provide high level technical consulting services, configuration of the elluminate platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer, Pr will be a technical escalation point for the team, design solutions and provide oversight and direction on technical development and implementation aspects to the team of existing data engineers on various software service delivery related activities.

KEY TASKS & RESPONSIBILITIES:

➢ Function as a technical lead to lead consulting efforts related to clinical systems software and design and develop any reporting programs as needed ➢ Provide programming support and quality control for system configuration, Data Extracts, Custom Reports and Visualizations.

 ➢ Manage/Mentor technical resources to deliver client services.

➢ Provide training services as needed to internal and external users working with training staff ➢ Ensure compliance with eClinical and industry quality standards, guidelines, and procedures.

➢ Work closely with Sales Teams on staffing and project delivery services.

➢ Define new/enhanced processes to support new and existing modules in elluminate.

➢ Other duties as assigned.

CANDIDATE’S PROFILE :

Education & Experience:

➢ 10+ years of professional experience, preferably in Services or senior consulting role preferred.

➢ Basic Science/Bachelor of Science or Master of Science degree in Computer Science and/or equivalent work experience preferred .

➢ 8+ years in database design and development experience Position: Data Engineer, Pr ➢ Prior experience of leading technical teams is a plus.

➢ Thorough experience in data warehouse architecture, design, and development.

➢ Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards .

Professional Skills:

➢ Provide technical leadership and guidance to the team and users .

➢ Ability to steward a solution to its objective resolving challenges, conflicts and priorities .

➢ Have critical observation and communication skills to Identify any gaps in processes or product.

 ➢ Ability to work with various technical and non-technical teams both internal to eCS and clients.

 ➢ Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred .

➢ Experience in regulatory computer systems validation a strong plus .

Technical Skills:

➢ Proficient in SQL, T-SQL, PL/SQL programming or R Package, or Python, or SAS.

➢ Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel .

➢ Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle.

➢ Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related .

➢ Experience with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related.

 ➢ Strong familiarity with EDC Systems: Rave, Trial Master, InForm, or Oracle Clinical preferred.

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

OVERVIEW
The Implementation Consultant at eClinical Solutions is responsible for liaising with our clients and internal stakeholders to align our client’s clinical data strategy to tools and functionality within elluminate. The Implementation Consultant is a savvy pharmaceutical/biotech/CRO professional with advanced experience in the handling, cleansing or analysis of clinical data. The Implementation Consultant has excellent organization skills and is a creative solution-oriented individual. The Implementation Consultant has experience with the delivery of technical products and exhibits prowess with analytic data review tools.
KEY TASKS & RESPONSIBILITIES
➢ Participate in elluminate implementations by providing business process and product best practices consulting services to support the technical and project management team members.
➢ Provide efficient and effective implementation services for clients, by ensuring appropriate requirements gathering through sound assessment of the clients’ elluminate environment and expectations.
➢ Consult in a post-implementation capacity to measure and drive increase in the ROI customers receive from elluminate.
➢ Steer productive elluminate implementation workshops through a consultative process, administer training sessions, if necessary, and provide high-quality support
➢ Align client clinical data review objectives to functionality in elluminate and deliver gap analysis where applicable.
➢ Collaborate with technical, engineering, product, and project management team members to develop new/enhanced product offerings in alignment with client objectives. Draft specifications and prototypes as needed.
➢ Configure elluminate software to meet the client requirements.
➢ Support elluminate training team in preparation of course materials and delivery of courses
➢ Assist sales effort to drive new sales by delivering Proof of Concept, Prototypes/Pilots and targeted presentations that fulfill client expectations.
➢ Collaborate with Marketing to develop client specific case studies and share client success.
➢ Participate in development of new processes, best practices, and recommend improvements to all procedures to ensure optimal level of client satisfaction.Ensure compliance with eClinical Solutions and industry quality standards, guidelines, and procedures.
➢ Other duties as assigned

Candidate Profile:

Education & Experience
➢ Four-year college degree or higher preferred, analytic discipline a plus and/or equivalent work experience preferred.
➢ Experience in a software development environment a plus preferred.
➢ 5+ years’ experience Pharmaceutical/Biotechnology/CRO preferred
Professional Skills
➢ Ability to think logically to solve complex problems.
➢ Excellent verbal and written communication skills, organizational and time management skills.
➢ Prior management and delivery of technical projects in a professional services environment is a plus
➢ Self-motivating, able to assume responsibility and work autonomously in a professional manner.
Technical Skills
➢ Excellent knowledge of English
➢ Excellent knowledge of the drug development process and clinical trial execution as they relate to data collection, management, analytics and reporting.
➢ Solid understanding of database concepts and ability to use data to optimize reporting, data mapping and programming.
➢ Solid analytical and technical skills and experience with analytic software applications (i.e. Spotfire, J-Review, Qlik, Tableau)
➢ Proficiency in Microsoft Office Applications, specifically MS Project Excel, Visio, PowerPoint, Word
➢ Proficiency with clinical data review and analytics solutions required.
➢ Ensure compliance with eClinical Solutions and industry quality standards, guidelines, and procedures.
➢ Other duties as assigned

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. 

OVERVIEW
The Data Engineer, Sr - I will work closely with clients and provide high level technical consulting services, configuration of the elluminate® platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations, platform configuration, ETL and custom analytics development.
As a Data Engineer, Sr - I, you will serve as the primary technical lead, spearheading consulting efforts related to clinical systems software. You will also design and develop reporting programs as needed.
KEY TASKS & RESPONSIBILITIES

• Leading consulting efforts and providing high-level technical consulting services to clients, including configuring the elluminate® platform and overseeing specific projects such as trial configuration, quality control, and project management.
• Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate® Mapper, and Qlik.
• Providing technical guidance, training, and support to team members and users on processes, technology, and products.
• Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned.
• Possessing high-level debugging skills for ETL or analytical issues by referring to the required source data.
• Demonstrating in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules.
• Delivering proactive technical support for all client-reported support tickets.
• Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform.
• Configuring, migrating, and supporting the elluminate® platform for assigned clients.
• Creating and maintaining all required specifications and quality control documents as per SOP and processes.
• Ensuring compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures.

CANDIDATE’S PROFILE
Education/Language:

• 5+ years of professional experience in a Services or Consulting role preferred
• Bachelor's or Master's degree in science, technical or business discipline or equivalent experience preferred
• 5+ years in database design and development experience preferred
• Understanding of Cloud / Hybrid data architecture concepts is a plus
• Prior experience in customer facing roles is a plus
• Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards
• Experience in Pharmaceutical/Biotechnology/Life Science industry is a plus
• Experience in Data Capturing tools (Rave, Veeva, InForm, IVRS)

Professional Skills & Experience:

• Have critical observation and communication skills to Identify any gaps in processes or product
• Ability to work with various technical and non-technical teams both internal to eCS and clients
• Must be team oriented with strong collaboration, prioritization, and adaptability skills
• Excellent knowledge of English; verbal and written communication skills with ability to interact with users and clients providing solutions
• Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred
• Experience in regulatory computer systems validation a strong plus
• Demonstrating strong analytical and problem-solving skills to identify issues and develop creative solutions that drive results.
• Conveying information clearly and concisely to diverse audiences, facilitating understanding and collaboration.
• Working effectively in a team environment, contributing to group objectives, and supporting colleagues.
• Adapting to changing circumstances and accepting new challenges with a positive attitude.
• Understanding clinical trial data and applying CDISC, SDTM/AdAM standards.

Technical Skills & Experience:

• Proficient in SQL, T-SQL, PL/SQL programming or R Package or Python or SAS
• Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel
• Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle
• Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related
• Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical is a winner of the 2023 Top Workplaces USA national award! We have also received numerous Culture Excellence Awards celebrating our exceptional company vision, values, and employee experience. See all the details here: https://topworkplaces.com/company/eclinical-solutions/

eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

We are looking for an APAC Marketing Operations Manager to join our Pokémon GO team in Bangalore on a hybrid basis!

Niantic Games, now part of Scopely, builds innovative, real-world gaming experiences that inspire movement, exploration, and social connection.

Niantic Marketing drives community-focused initiatives for our global audience of tens-of-millions of users, demonstrating key partnerships and creative campaigns that reflect the spirit of our company's mission. We believe in making games players love to play, while pushing the boundaries of location-based and AR experiences on mobile.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily. 

What You’ll Do

Support the APAC Marketing team by improving operational processes and ensuring effective marketing initiatives. Responsibilities include:

• Strategic Process Optimization: Design, document, and implement end-to-end marketing workflows and Standard Operating Procedures (SOPs) to ensure world-class operational efficiency and effectiveness across the APAC region.
• Campaign Project Leadership: Lead the project execution of complex marketing campaigns, defining scope, managing timelines, coordinating cross-functional resources, and ensuring timely, on-budget delivery in partnership with the Product Marketing Manager (PMM). Oversee the optimization of DM, Channel, and In-game tools for maximum campaign effectiveness.
• Performance Management & Insight: Own the tracking and reporting of departmental Objectives and Key Results (OKRs) and Key Performance Indicators (KPIs) on a weekly, monthly, and quarterly basis across key marketing functions. Analyze performance data to proactively identify bottlenecks, and implement data-driven solutions to drive ambitious growth targets.
• Enablement & Governance: Develop and deliver comprehensive training and support on new MarTech tools and process best practices. Manage the new-hire onboarding process and establish the IP (Intellectual Property) usage guidelines and 'dos and don'ts' playbook for the regional team in collaboration with cross-functional partners.
• Financial & Legal Oversight: Oversee and manage the operational aspects of the marketing budget, including tracking purchase orders, processing invoices, and maintaining vendor contracts to ensure financial compliance and legal adherence.
• Stakeholder Management & Alignment: Serve as the primary liaison between APAC Marketing, Global teams, and key cross-functional stakeholders (e.g., Finance, Legal, Engineering) to drive process improvements and ensure strategic alignment and efficient project execution.

What we’re looking for

• Bachelor’s degree in Marketing, Business Administration, or a related analytical field
• 5-6+  years of progressive experience in Marketing Operations, Project Management, or a combined MOps/PM role, ideally within a high-growth technology company
• Demonstrated ability to leverage strong analytical and problem-solving skills to diagnose workflow issues and implement scalable, data-driven solutions
• Expertise in advanced data analysis, reporting, and data visualization (e.g., Tableau, Looker) to translate complex performance metrics into actionable business insights.
• Exceptional written and verbal communication skills, with a proven ability to organize, structure, and articulate complex information to diverse stakeholders
• Proven ability to take proactive ownership of problems and processes, driving continuous improvement without constant oversight
• Expert ability to prioritize and manage a high-volume portfolio of simultaneous projects, ensuring successful and timely delivery of each
• Meticulous attention to detail and unwavering commitment to data accuracy and hygiene across the marketing technology stack
• Deep understanding of the digital marketing funnel, channel performance, and core marketing metrics (e.g., CAC, LTV, Conversion Rates)
• Ability to thrive in a fast-paced, hybrid work environment, effectively managing pressure and rapid organizational change
• Experience with Marketing/Field Operations and/or formal Project Management methodologies (e.g., Asana, Jira) in the technology or gaming industry is a significant advantage
• Experience with field marketing operations/PM, particularly in the tech industry, is a Plus
• Familiarity and genuine interest in the company's Intellectual Property (IP) and brand standards is a plus

At Scopely, we create games for everyone, and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• Bachelor’s degree in computer science, Information Technology, Engineering or related field.
• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
• Proficiency in SQL, Excel, and Python/R
• Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
• Experience in a commerce media or digital marketing agency is a plus.
• Excellent problem-solving, communication, and project management skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Toast Capital provides fast, flexible funding to restaurants and hospitality businesses on the Toast platform. By leveraging Toast’s rich operational and transaction data, Toast Capital delivers financing that is aligned with how restaurants actually run.

As Toast Capital scales, we are investing in modernizing our credit risk organization through better analytics, automation, and AI-enabled workflows. Our goal is to empower risk analysts with tools that improve decision quality, reduce manual work, and allow the team to scale efficiently.

The Fintech Risk team at Toast is accelerating the adoption of AI to transform how we operate. We are seeking a Lead Analyst to design and deploy intelligent, AI-powered workflows for Toast Capital’s credit risk function.

This role sits at the intersection of credit risk, analytics, and applied AI. You will identify opportunities to improve underwriting, portfolio monitoring, and risk operations by designing and implementing internal AI tools such as copilots, assistants, and automated analytical workflows. The ideal candidate combines strong credit risk intuition, analytical problem-solving, and technical curiosity about AI tools and automation. You should be excited about turning manual analytical processes into scalable systems that allow risk teams to operate faster and more consistently.

A day in the life (Responsibilities)

• Identify high-impact opportunities to improve credit risk workflows using AI across underwriting, portfolio monitoring, policy interpretation, and collections
• Design and deploy internal AI copilots that help analysts draft credit memos, summarize merchant performance, and interpret key risk signals
• Build tools that automatically generate risk narratives, portfolio commentary, and merchant-level performance summaries
• Partner with Engineering, Data Science, and Product to implement AI-powered tools using structured data, internal APIs, and secure LLM platforms
• Develop prompt frameworks and workflows that combine deterministic risk metrics with AI-generated insights while maintaining explainability and human oversight
• Conduct portfolio analyses to identify merchant performance trends and emerging risk signals
• Redesign risk processes to reduce manual work, automate recurring analysis, and increase analyst productivity
• Collaborate with Credit Risk, Compliance, Engineering and Operations to responsibly deploy and scale AI-enabled workflows

What you'll need to thrive (Requirements)

• 5+ years of experience applying analytics, automation, or AI to improve risk or operational workflows in fintech, financial services, or technology
• Experience applying AI or LLM tools to improve analytical workflows, operational processes, or decision support
• Strong analytical skills with the ability to translate portfolio or transactional data into actionable insights
• Advanced proficiency in SQL and Python; experience building dashboards or automated analytics solutions (Looker/Tableau/Hex or similar)
• Familiarity with prompt design, AI-assisted workflows, or automation frameworks integrating structured data with LLM outputs
• Strong communication skills and ability to influence cross-functional stakeholders across Risk, Engineering, Data Science, and Product
• Bachelors degree is mandatory 

Reports To

Director of Business Management

What you will be Doing

As the Business Operations Manager, you will be responsible for monitoring and improving gross margins through detailed analysis of billings, costs, systems, tools, processes, and metrics. A solid understanding of financial and operational metrics for the Customer Experience Business Unit, as well as operational processes including inventory management, repairs, and vendor management, is essential for this role.

What you will bring to ChargePoint

- Owning the forecasting of the Services P&L.

- Supporting and driving continuous improvements through data analytics to identify areas for margin enhancement.

- Working with the services leadership team to identify and implement operational efficiencies and process optimizations.

- Collaborating with diverse cross-functional teams to execute strategy and resolve issues.

- Reporting metrics and maintaining dashboards.

- Enabling and supporting discount reporting.

- Establishing strong, trusted partnerships with key stakeholders to ensure alignment and ongoing effectiveness.

Required Qualification

• Bachelor’s degree in Engineering, Finance, Marketing, Business, or a related field, with an MBA and 7+ years of business operations or related experience.
• Minimum of 8+ years of experience in Finance or Business Operations within a customer experience function in a technology-oriented industry.
• Experience in P&L forecasting.
• Strong business acumen and analytical, problem-solving, and conceptual skills.
• Ability to coordinate cross-functionally to deliver measurable improvements in gross margin and profitability.
• Strong communication and presentation skills.
• Proficiency in MS applications and advanced user of Tableau, Jira, and Confluence.
• Willingness to work during US East Coast hours.

Preferred Qualifications

• Ability to coordinate cross-functionally to deliver on-time measurable improvements to the gross margin and profitability.
• Business Controllership experience

Location

Bangalore, India

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.

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore. For more details visit: www.netradyne.com

Job Overview:

As a Staff Data Engineer – ML at Netradyne, an award-winning industry leader in fleet safety and video telematics solutions, you will take senior technical ownership of the machine learning and data platforms that underpin our AI-powered fleet analytics. This role is responsible for designing, building, and scaling production-grade ML pipelines, generative AI capabilities, and real-time data streaming systems across cloud and edge environments, delivering actionable insights that make fleet operations safer and more efficient. You will collaborate closely with machine learning engineers, data scientists, and product teams to integrate advanced AI technologies into Netradyne's platform, including on-device edge intelligence and natural-language-driven capabilities. Your work will directly shape the data infrastructure behind Netradyne's Physical AI vision, where AI continuously interprets multimodal vehicle data to understand drivers, vehicles, and road environments as an integrated system.

Key Responsibilities:

• You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productising generative AI, deep learning, and data engineering solutions. You will:
• Design, develop and deploy production-ready, scalable solutions that utilise generative AI, traditional ML models, data science workflows, and ETL/ELT pipelines on AWS cloud infrastructure (and hybrid edge-cloud environments).
• Build and manage real-time and batch data streaming pipelines to handle high-volume, high-velocity data from fleet devices, leveraging technologies such as Apache Kafka and Amazon Kinesis for low-latency processing and near real-time insights.
• Collaborate with cross-functional teams (Product, Data Science, ML Engineering, Operations) to integrate AI-driven solutions into business operations and customer-facing products.
• Design and implement generative AI solutions using large language models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) patterns, to enable intelligent analytics, natural-language interfaces, and context-aware insights across fleet and safety data.
• Build and scale agentic AI systems by developing autonomous and semi-autonomous agents that orchestrate data retrieval, reasoning, and actions across ML pipelines and services, ensuring these agentic workflows are production-grade, observable, and aligned with safety, reliability, and governance requirements.
• Implement MLOps best practices including CI/CD pipelines for model training, automated testing, model versioning, continuous monitoring, and modern workflow orchestration (e.g. Apache Airflow, MLFlow) to achieve reliable, reproducible model deployments at scale.
• Champion data quality and governance by implementing data contracts, rigorous validation, and monitoring to ensure that analytical pipelines meet defined SLAs and that downstream models and business users can trust the data.
• Conduct research and stay current with the latest advancements in generative AI, vector search techniques, LLM frameworks, orchestration platforms, and related technologies.

Mandatory Skills:

• Experience with data visualisation and BI tools (e.g. Tableau, Grafana, Plotly Dash).
• Exposure to real-time data streaming and messaging systems (e.g. Apache Kafka, Amazon Kinesis, Amazon SQS).
• Knowledge of containerisation and orchestration (e.g. Docker, Kubernetes/EKS)
• Strong understanding of generative AI system design, including prompt engineering, RAG architectures, vector search, and evaluation techniques for LLM-based applications in production environments.
• Experience with agentic AI patterns, such as designing, orchestrating, and monitoring autonomous or semi-autonomous agents that coordinate tools, data sources, and ML services with appropriate safety, observability, and governance controls.
• Experience with modern workflow orchestration platforms such as Apache Airflow, Prefect, or Dagster for scheduling and managing complex ETL/ML pipelines. These tools are now standard for data pipeline engineering.
• Proficiency with at least one Python web framework (e.g. FastAPI, Django, Flask) for developing data or model-serving APIs.
• Experience with rapid prototyping tools (e.g. Streamlit, Gradio, Dash) for demonstrating ML solutions to stakeholders.
• Familiarity with modern ML frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face Transformers
• Background in large-scale data processing and lakehouse or data warehousing technologies (e.g. Snowflake, Amazon Redshift, Apache Spark/EMR, Delta Lake).

Qualifications and Education Requirements:

• B.Tech, M.Tech or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field (or equivalent professional experience).
• 5–8 years of industry experience in data engineering, machine learning engineering, or related roles, with a track record of building and scaling data/ML solutions in production.
• Strong programming skills in Python and SQL, with solid fundamentals in algorithms, data structures, and object-oriented programming.
• Experience building end-to-end solutions on AWS cloud infrastructure including developing data pipelines (ETL/ELT), deploying ML models at scale, and utilising cloud services (e.g. S3, Lambda, EKS).
• In-depth understanding of data storage systems: proficient with relational databases (SQL), NoSQL datastores, and modern vector databases, including schema design and query optimisation for large-scale datasets.
• Hands-on experience with generative AI tools and workflows, and practical work with large language models (LLMs), including building LLM-powered applications and utilising RAG techniques to incorporate external knowledge.
• Working knowledge of MLOps principles and tools — e.g. model lifecycle management, CI/CD pipelines for ML, automated data/feature pipelines, and monitoring/alerting for deployed models.
• Strong analytical and problem-solving skills with keen attention to detail.
• Solid foundation in statistics, probability, and estimation theory.
  
  

Equal Opportunity Employer Statement:
Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

Key Responsibilities

1. Strategic Planning & Forecasting

• Lead the top-down and bottoms-up planning cycles (AOP/AFP) for Media Flow (MF), Net Revenue (NR), and Take Rate across products (Contracted OX, PX, Auction Packages, Brand IO).

• Build and maintain dynamic forecasting models leveraging Data Cloud and Einstein AI for predictive insights, highlighting gaps to targets and driving corrective actions.

• Partner with Finance and Product to translate business strategy into actionable revenue plans by region, deal type, and vertical.

2. Revenue Intelligence & Insights

• Own the design and execution of the Revenue Intelligence pyramid (Input → Leading Indicators → MF/NR outcomes).

• Deliver account-level and deal-level intelligence dashboards for GTM teams, integrating data from Salesforce, OMS, and external signals.

• Build playbooks for Hunter–Farmer–CSM segmentation, new business vs. expansion, and win-loss analysis.
  
  

  3. GTM Process Design & Governance

  • Own the lead-to-cash process mapping (MECE framework), ensuring clean lead capture, MQL/SQL definitions, and pipeline hygiene.

  • Champion Salesforce discipline and process adoption — “If it’s not in Salesforce, it doesn’t exist.”

  • Drive deal desk governance to ensure pricing discipline, margin protection, and accelerated deal cycles.
    
    
    

    Qualifications & Experience

    • 5-7+ years of experience in Revenue Operations, GTM Strategy, or Sales Operations in AdTech, SaaS, or Media.

    • Proven success leading end-to-end revenue planning and forecasting for a global P&L.

    • Deep expertise with Salesforce (Sales/Service Cloud), BI tools (PowerBI, Tableau), and financial modeling.

    • Strong understanding of digital advertising business models – Open Exchange, Private Exchange, Managed Service, and Programmatic.

    • Exceptional stakeholder management skills, with the ability to influence C-level executives.

    • Data-driven, systems thinker with bias for action and a “no manual Excel” mindset.

    • Experience building and leading small but impactful RevOps/Analytics teams.

What You Will Do and Learn

As a Snowflake Architect/ Manager in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

• Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
• Collaborate with team members to design and implement technology that aligns with client business objectives
• Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
• Team management experience and ability to manage, mentor and develop talent of assigned junior resources
• Create actionable recommendations based on identified platform, structural and/or logic problems
• Communicate and demonstrate a clear understanding of client business needs, goals, and objectives
• Collaborate with other architects on solution designs and recommendations.

Qualifications:

• 8+ years’ experience developing industry leading business intelligence and analytic solutions
• Must have thorough knowledge of data warehouse concepts and dimensional modelling
• Must have experience in writing advanced SQL
• Must have at least 5+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.
• Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.
• Hands-on experience with Snowflake would carry higher weightage
• Snowflake SnowPro Core certification would carry higher weightage
• Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage
• Hands-on experience on Azure would carry higher weightage
• Must have experience in setting up DBT projects
• Must have experience in understanding / creating / modifying & optimizing YML files within DBT
• Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations
• Must have experience with various materialization techniques within DBT
• Must have experience in writing & executing DBT Test cases
• Must have experience in setting up DBT environments
• Must have experience in setting up DBT Jobs
• Must have experience with writing DBT Jinja and Macros
• Must have experience in creating DBT Snapshots
• Must have experience in creating & managing incremental models using DBT
• Must have experience with DBT Docs
• Should have a good understanding of DBT Seeds
• Must have experience with DBT Deployment
• Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features
• Proficiency in version control systems and CI/CD
• Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.
• Must have experience in PR approval workflow
• Participate in code reviews and best practices for SQL and DBT development
• Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage
• 2+ years of Business Data Analyst experience
• 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.
• Understanding and experience on ETL/ELT is an added advantage
• 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
• 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)
• 2+ years of experience creating functional test cases and supporting user acceptance testing
• 2+ years of experience in Agile/Kanban/DevOps Delivery
• Outstanding analytical, communication, and interpersonal skillsAbility to manage projects and teams against planned work
• Responsible for managing the day-to-day client relationship on projects

Position Summary

The Business Process Manager (BPM) supports enterprise-wide process and systems transformation across GTM, Finance, Operations, Partner, and Support functions. This role acts as a bridge between business stakeholders and the Business Systems Group (BSG), driving alignment, resolving requirements, and enabling scalable process improvements.

The BPM leads discovery, defines business requirements, and drives execution through UAT, training, and change management. The role focuses on designing “To-Be” processes, improving process architecture, and ensuring successful adoption across functions.

Key Responsibilities

1. Business Process Design & Analysis

• Maintain and evolve end-to-end business process architecture aligned with enterprise goals

• Conduct gap analysis between “As-Is” and “To-Be” processes

• Design scalable processes across Record-to-Report, Procure-to-Pay, Billing, Subscription Management, Revenue Recognition, and Renewals

• Gather, translate, and validate business requirements with cross-functional stakeholders

• Document UX and ensure alignment with system capabilities and data strategies

2. Automation & Continuous Improvement

• Drive automation initiatives with BSG using Salesforce, NetSuite, Tableau, and other tools

• Identify improvement opportunities using data and defined KPIs

• Implement user-centric, scalable process enhancements with minimal customization

• Introduce best practices and industry standards into process improvements

3. Program & Change Management

• Lead cross-functional programs ensuring timely delivery and risk mitigation

• Manage UAT planning and execution

• Drive change management, training, and user enablement

• Maintain centralized documentation and ensure continuous improvement through feedback

4. Additional Responsibilities

• Support ongoing process improvement initiatives

• Contribute to professional development and knowledge sharing

Supportive Functions

Technology & Tools

• Evaluate and recommend tools to improve business processes

• Support implementation of technology aligned with business goals

Qualifications & Competencies

• Strong integrity, analytical thinking, and adaptability

• Innovative problem-solving and stakeholder influencing skills

• Ability to work independently under pressure and meet deadlines

• Strong organizational, decision-making, and multitasking ability

• Excellent collaboration and interpersonal skills

Experience & Knowledge

• 8+ years in business process management, business systems, operations, or program delivery

• Experience in Record-to-Report, Procure-to-Pay, and Renewal processes

• Strong skills in requirement gathering (user stories, acceptance criteria)

• Experience working with cross-functional and global teams

• Strong analytical, documentation, and communication skills

Other Qualifications

• Exposure to Salesforce and/or NetSuite ecosystems

• Knowledge of system integrations across CRM, ERP, and third-party tools

• Experience in business analysis, process design, and solution ownership

• Familiarity with system development methodologies

Preferred

• Salesforce or NetSuite implementation experience

• Team management experience

Education

Bachelor’s degree in Business, Information Systems, Computer Science, or related field (or equivalent experience)

Certifications

Valid driver’s license required

Technical Knowledge

• Tools: Salesforce, NetSuite, Jira, Miro, Smartsheets, MS Office

• Systems: Integration technologies, CRM/ERP platforms

Work Conditions

• Primarily desk-based with extended computer usage

• Ability to manage workload and shifting priorities

Travel

Minimal travel (<10%)

Why should you join us?

Join a fast-growing organization where your work will shape key business decisions and drive impact. Lead cutting-edge analytics projects, leveraging advanced tools and methodologies to solve complex challenges. Enjoy structured career growth, competitive benefits, and a culture that values innovation, collaboration, and inclusivity. Be part of a team redefining data-driven decision-making and setting industry benchmarks while fostering your professional development.

What will you be doing?

• Exploratory Data Analysis and Insights: Conduct in-depth data exploration, run simulations, and deliver insights that shape strategic priorities.

• Design Health Metrics: Define, implement, and monitor KPIs that reflect platform health, user behavior, and product performance.

• Develop Dashboards: Design interactive dashboards and develop real-time visualizations to track trends, anomalies, and critical KPIs.

• Cross-Functional Collaboration: Partner with product, engineering, and business teams to promote data-driven decision-making across the organization.

• Streamlining Time to Insight: Build tools, automate processes, and champion self-serve analytics to enable faster data access and insights.

• Impact Measurement: Evaluate product impact through robust analyses, aligning outcomes with key business objectives.

What are we looking for?

Skills and Attributes:

• Exceptional ability to collaborate with stakeholder teams (Business, product, tech, finance, delivery teams) to prioritize and deliver innovative solutions across projects.
• Execution-driven and results-oriented to ensure strategy translates to outcomes
• Patience and stamina to translate long term roadmap into wins and milestones for organizational impact
• Project management abilities: ability to manage long-term (multi-month) integrations, set timelines, and independently drive the process forward.
• Explore data, find patterns in large seemingly disparate data sets, and develop solutions that add intelligence / insights and drive decision making for leaders
• Present insights/findings in a structured manner to directly enable tangible outcomes for stakeholders
• Optional: Strong foundation in statistics and predictive modeling, including A/B testing.
• Proficiency in SQL, Python, Excel, Tableau or PowerBI

Who are we and What do we do? 

InMobi is the largest independent mobile advertising network in the world. Building a new company in 2007 was no ordinary task. As the recession hit, the iPhone was born and launched a revolution. Mobile advertising wasn’t yet a thing, other than SMS, and venture capital funding was hard to come by for four guys in India.  Yet with passion, foresight, and conviction – InMobi charted its own course, helping to transform the way consumers engage with their phones and create today's booming app economy wherein consumers now spend 4.2 hours per day.  After fourteen years of innovation, our end-to-end advertising software platform, connected content and commerce experiences have formed a powerful engine for growth that activates audiences, drives real connections, and diversifies revenue for companies around the world. Our global organization of InMobians are excited to continue discovering and developing impactful technologies that will continue to transform people, businesses, and society. With offices on five continents, InMobi provides advertisers, publishers and developers with a uniquely global solution for advertising. The network is growing and now delivers the unprecedented ability to reach 1.64 billion devices, in over 165 countries, through more than 200 billion mobile ad impressions monthly. The company has over 17 offices including Bangalore (HQ), London, New York, Paris, San Francisco, Shanghai, Beijing, Seoul, Singapore, Tokyo and Dubai. 
For more information, please visit http://www.inmobi.com 

 
What’s the InMobi family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion. 

 
What do we promise?

We offer an opportunity to have an immediate impact on the company and our business. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

About the Role

The Global Business Analytics & Insights team is evolving from a traditional reporting function into an AI-powered, agentic intelligence layer that drives autonomous, real-time decision-making across the organisation.

As a Lead Business Intelligence Analyst, you will play a critical role in this transformation — moving beyond dashboards to build intelligent, self-serve, and eventually self-driving analytics systems.

You will own the design and evolution of next-generation BI systems that:

• Not only describe what happened, but explain why it happened
• Recommend what to do next
• And ultimately enable automated, agent-driven decision workflows

This role sits at the intersection of analytics, data products, and AI, and requires someone who can combine business intuition, technical depth, and product thinking to reimagine how data is consumed and decisions are made across GTM teams.

You will work closely with Strategy & Operations, Product, Data Engineering, and GTM leadership to build an intelligence layer that powers the full customer journey — from Marketing to Revenue realization.

What You’ll Be Doing?

Build the Intelligence Layer (Beyond Dashboards)

• Design and own scalable BI frameworks that evolve from dashboards → insights → recommendations → automated actions
• Develop semantic layers and metric definitions that standardize decision-making across teams
• Move the org from “report consumption” to decision intelligence systems

Drive Agentic BI Vision

• Help define and execute the roadmap toward agentic BI (AI agents answering business questions autonomously)
• Build use cases where:
  • Business questions are translated into queries automatically
  • Insights are generated proactively (not reactively)
  • Outputs are delivered via conversational interfaces (Teams, email, etc.)
• Partner in building AI-powered analytics agents on top of Databricks / warehouse layers

Advanced Analytics & Decision Systems

• Build models to:
  • Forecast revenue and pipeline health
  • Detect anomalies and trigger alerts
  • Identify drivers of growth and inefficiencies
• Develop leading indicator frameworks and early warning systems for GTM performance

Insight Generation & Storytelling

• Go beyond reporting to:
  • Identify root causes of business trends
  • Translate data into clear, actionable recommendations
• Support leadership with narrative-driven insights, not just metrics

Data Product & Self-Serve Enablement

• Build self-serve analytics experiences tailored to different personas (Sales, Strategy, Leadership)
• Reduce dependency on analysts by enabling intuitive, trustworthy data access
• Drive adoption of “review via dashboards” → “review via intelligent systems”

Data Integrity & System Thinking

• Work with Data Products to ensure data quality across systems (Salesforce, Databricks, BI tools)
• Investigate discrepancies and build robust data governance mechanisms
• Work with data engineering to ensure clean, reliable, and scalable pipelines

Cross-functional Leadership

• Partner with:
  • GTM teams (Marketing, Sales)
  • GTM enablement teams (Strategy, Revenue Operations, Finance)
  • Product & Marketplace teams
• Influence decision-making at multiple levels through data-backed narratives

Automation & Efficiency

Continuously identify opportunities to:

• Automate reporting workflows
• Eliminate redundant analysis
• Build reusable analytics assets

Who You Are

Analytical & Structured Thinker

You don’t just analyze data — you frame problems, test hypotheses, and drive decisions.

Builder Mindset (Not Just Consumer of BI)

You’ve built systems — dashboards, data models, or analytics products — and want to reimagine BI as a product, not a service.

AI-Forward Thinker

You are excited about using:

• LLMs
• AI agents
• Automation frameworks

to fundamentally change how analytics is delivered.

Business-Oriented

You understand that the goal is not dashboards — it’s revenue impact, efficiency, and growth.

Comfortable with Ambiguity

You thrive in 0→1 environments and can bring structure to undefined problems.

What We’re Looking For

Core Skills

• Strong SQL and experience working with large-scale datasets (Databricks, BigQuery, Snowflake, etc.)
• Experience with BI tools (Power BI, Tableau, Looker)
• Strong analytical thinking: root cause analysis, hypothesis testing, problem structuring
• Experience building end-to-end analytics solutions

Preferred Experience

• 4–8 years in analytics / BI / RevOps / strategy roles
• Experience working with GTM / revenue teams
• Exposure to data modeling and metric design
• Experience with Python / statistical modeling / forecasting

Strong Plus

• Experience or interest in:
  • AI/ML applications in analytics
  • Conversational BI / NLQ systems
  • Building internal data products
• Prior AdTech / Marketplace experience

What Success Looks Like in This Role

• The organization moves from: Static dashboards → dynamic, insight-driven systems
• Stakeholders shift from: Asking analysts → self-serve + AI-assisted decision making
• BI evolves into: A central intelligence layer powering GTM strategy

Why This Role is Unique

This is not a traditional BI role.

You will be helping build:

• One of the first agentic BI ecosystems in AdTech
• A system that connects data → intelligence → action
• A foundation for AI-driven decision-making across the company

Why Join Us?

We value autonomy, collaboration, technical innovation, and results-oriented thinking. InMobi’s culture is all about rewarding excellence so there are fantastic opportunities for the right candidates.

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 WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Profile Summary: A highly skilled and client-focused Client Analytics Manager specialising in delivering insightful measurement and performance analysis for global clients. Proficient in leveraging various data sources and analytical tools to provide strategic recommendations that optimise marketing campaigns and drive business outcomes. Expertise in managing client relationships, translating complex data into clear, actionable insights, and ensuring the delivery of best-in-class analytical support for high-value accounts.  

Key Skills: 

• Strong analytical and quantitative skills with a focus on marketing performance, business impact, and client strategy. 

• Proficiency in interpreting measurement data from various vendors to provide strategic insights. 

• Experience with data visualisation tools (e.g., Tableau, Power BI) and advanced Excel for reporting and analysis. 

• Familiarity with advertising platforms like DV360 and The Trade Desk, enabling effective understanding of campaign data and optimisation opportunities. 

• Ability to translate complex data analysis into clear, concise, and actionable recommendations for clients and internal stakeholders. 

• Excellent communication and presentation skills, with a proven ability to manage client expectations and foster strong relationships. 

• Solid understanding of marketing KPIs, campaign optimisation, and measurement methodologies. 

• Experience with SQL and/or Python for data extraction and preliminary analysis. 

Description: 

• Manage and deliver high-quality analytics and measurement projects for a portfolio of global clients 

• Analyse campaign performance data, leveraging insights from various measurement vendors to identify opportunities for optimisation and demonstrate ROI. 

• Collaborate closely with client teams and internal stakeholders to define analytical objectives and deliver strategic recommendations that align with business goals. 

• Develop and present compelling reports and presentations to clients, clearly articulating findings, their business implications, and fostering a data-driven culture. 

• Ensure the consistent delivery of best-in-class analytical support, protecting existing revenue streams, maintaining client trust, and enhancing confidence in prop media solutions. 

• Provide guidance on measurement strategies and contribute to the evolution of analytical frameworks for key clients. 

Education: 

• Bachelor's Degree in Marketing, Business Analytics, Statistics, or a related quantitative discipline. 

Ideal Certifications: 

• Google Analytics Individual Qualification 

• Google Ads Certification 

• Tableau/Power BI Certification 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will: 

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights. 

• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders. 

• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives. 

• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions. 

• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function. 

• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques. 

• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies. 

• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities. 

Skills and Experience: 

If this opportunity looks right for you, we are looking for candidates who have: 

• Bachelor’s degree in computer science, Information Technology, Engineering or related field. 

• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring. 

• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker). 

• Proficiency in SQL, Excel, and Python/R 

• Expert in data visualization and storytelling; able to craft compelling narratives that drive action. 

• Experience in a commerce media or digital marketing agency is a plus. 

• Excellent problem-solving, communication, and project management skills. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.