About the Team 

The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with atleast one of the following Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Familiarity with additional big data technologies, including Hadoop and Kafka.  

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Strong programming skills in Python, Java, or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

About the team

The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.

About the role

Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 3 days in the office.

What you'll be doing

• Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
• Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
• Build data pipelines that optimise on data quality and are resilient to poor quality data sources
• Own the data mapping, business logic, transformations and data quality
• Low level systems debugging, performance measurement & optimization on large production clusters
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
• Maintain and support existing platforms and evolve to newer technology stacks and architectures

We're excited if you have

• Extensive SQL Skills
• Proficiency in at least one scripting language, Python is required
• Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
• Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
• Experience with AWS, GCP, Looker is a plus
• Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
• 8+ years professional experience as a data Engineer 
• BS in Computer Science; MS in Computer Science preferred
• AI Literacy / AI growth mindset

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Description: Business Intelligence Manager

Position Summary

The Business Intelligence (BI) Manager is responsible for leading the strategy, development, and operational excellence of enterprise analytics, reporting, and AI-enabled insights. This role oversees BI platforms, data visualization, and analytical solutions—including the responsible application of AI and advanced analytics—to enable data-driven decision-making across the organization. The BI Manager partners with business leaders, data engineering, AI governance, and security teams to ensure insights are accurate, explainable, secure, and aligned with business priorities.

Key Responsibilities

Strategy & Leadership

• Define and execute the enterprise BI and analytics strategy, including AI-enabled insights, aligned to business objectives and data governance standards
• Lead, mentor, and develop a team of BI developers, analysts, and analytics engineers
• Establish prioritization frameworks for analytics and AI-driven use cases
• Serve as a trusted advisor to business and executive stakeholders on analytics and AI capabilities

Analytics, AI & Insights Delivery

• Oversee the design, development, and maintenance of dashboards, reports, predictive models, and AI-assisted analytics products
• Enable the use of AI for trend analysis, forecasting, anomaly detection, and insight generation using governed enterprise data
• Ensure consistent semantic models, metrics definitions, and explainable outputs across BI and AI solutions
• Partner with data science and data engineering teams to operationalize AI outputs into BI platforms and business workflows
• Drive adoption of AI-assisted self-service analytics while maintaining data quality, lineage, and control

Platforms & Technology

• Own BI and analytics platforms (e.g., Power BI, Tableau, Looker) and their integration with AI and cloud data platforms
• Support AI-enabled features such as natural language query, automated insights, and embedded copilots where appropriate
• Define standards for dashboard design, AI explainability, usability, accessibility, and performance
• Lead platform optimization, licensing strategy, and cost management across BI and AI tooling

AI Governance, Security & Responsible Use

• Ensure AI use of data complies with enterprise AI governance, security, privacy, and ethical standards
• Partner with security, risk, and compliance teams to enforce access controls, sensitivity labeling, and usage monitoring
• Support model transparency, bias awareness, and auditability for AI-derived insights
• Maintain documentation for AI use cases, assumptions, and limitations

Data Governance & Quality

• Enforce data governance, certification, and lifecycle management for BI and AI assets
• Establish data quality and AI output validation processes
• Maintain business glossaries, metric definitions, and AI-enabled analytics documentation
• Support audit, compliance, and regulatory requirements related to analytics and AI

Stakeholder Engagement & Value Realization

• Translate business questions into analytics and AI use cases with measurable outcomes
• Enable business teams through training on BI tools, AI-assisted analytics, and responsible usage
• Measure and report on analytics and AI value realization, adoption, and business impact

Required Qualifications

• Bachelor’s degree in information systems, Computer Science, Data Analytics, Business, or related field
• 7–10 years of experience in business intelligence, analytics, or data platforms
• 3+ years of experience leading BI or analytics teams
• Strong expertise in BI platforms (Power BI preferred) and enterprise data architectures
• Demonstrated understanding of AI-assisted analytics and advanced analytical techniques
• Proven experience partnering with senior business stakeholders
• Strong understanding of data governance, security, and compliance principles

Preferred Qualifications

• Experience in managed services, consulting, or multi-client environments
• Familiarity with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery)
• Exposure to AI platforms, embedded analytics, or analytics copilots
• Knowledge of data cataloging, lineage, and governance tools (e.g., Microsoft Purview or equivalents)
• Experience operationalizing AI insights within enterprise reporting environments

Key Competencies

• Strategic analytics and AI thinking with operational execution
• People leadership and talent development
• Executive communication and stakeholder influence
• Data ethics, governance, and risk awareness
• Continuous improvement and innovation mindset

Success Measures

• Increased adoption of BI and AI-enabled insights across the enterprise
• Consistent, trusted, and explainable KPIs and AI outputs
• Improved time-to-insight and decision quality
• Strong governance, security, and audit outcomes
• Demonstrated business value from analytics and AI initiatives

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

Who we are

About Stripe

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

About the team

Role Overview

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

What You'll Do

Financial Data Analytics & Modeling

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

Business Intelligence & Reporting

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

Data Engineering & Analytics Infrastructure

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

Strategic Analysis & Insights

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

Required Qualifications

Technical Skills

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

Financial & Business Acumen

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

Analytical & Problem-Solving

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

Preferred Experience

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

Key Competencies

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

Education

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

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

Role

We are looking for a Deputy Manager, Analytics & Insights to join our FP&A Analytics Team. This role is based in Mohali on a hybrid basis, reporting to the Manager, FP&A Analytics. You will be a cornerstone of our General and Administrative team, providing a foundation for growth at the world's cloud security leader. By partnering across the organization, you will help scale our operations and nurture a culture of excellence through sophisticated financial insights and data infrastructure.

What you’ll do (Role Expectations)

• Drive strategic financial analytics by partnering with stakeholders to define metrics, build complex solutions, and deliver impactful insights across Revenue, Margin, and Customer Retention

• Manipulate and model complex datasets from Snowflake using expert SQL and Python for advanced reporting and forecasting

• Manage and optimize dbt projects, ensuring logic correctness, debugging failures, and evolving models with new business dimensions and facts

• Maintain and build robust ETL/ELT data pipelines to ensure smooth data flow from source systems into the analytics environment

• Innovate and automate reporting bottlenecks using Python or SQL while exploring GenAI applications like LangChain for financial commentary

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• 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. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, 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 are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• A minimum of 5 years of experience in Finance Analytics, Business Intelligence, or related technical fields with a deep understanding of SaaS business metrics such as ARR, NRR, and Churn

• Expert-level proficiency in SQL for complex queries and performance optimization in Snowflake, alongside strong working knowledge of Python for data analysis

• Intermediate to operational dbt proficiency, including experience running models, debugging errors, and adding logic to projects

• Practical experience in functional data engineering, encompassing ETL/ELT concepts and the ability to build or maintain data pipelines

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on exposure to Generative AI tools such as LangChain, LlamaIndex, or building applications with OpenAI APIs

• Prior experience navigating the unique financial dynamics of a high-growth SaaS company

• Advanced dashboard creation skills using visualization tools like Tableau, PowerBI, or Looker

#LI-HG1

 #LI-Hybrid

Manager, Revenue & Contract Analytics

Position Overview

Zeta Global is seeking a highly analytical and detail-oriented Manager, Revenue & Contract Analytics to lead the development and operational ownership of a contract entitlement tracking and usage reconciliation framework.

This role is responsible for ensuring accurate cost assignment, margin transparency, revenue recognition support, and overage billing integrity across client contracts. The position will operationalize a structured tracking process that consolidates contractual entitlements and reconciles them against actual platform and service usage across multiple enterprise systems.

The Manager will play a critical role in building and leading a Hyderabad-based Analytics team and transitioning ownership of the process from the Cost Analysis team to a scalable, repeatable reporting function.

Key Responsibilities

• Compile and maintain a comprehensive repository of all active client contracts and Statements of Work (SOWs).
• Translate contractual entitlements into clearly defined, trackable usage metrics.
• Reconcile actual client usage against contractual entitlements on a monthly basis.
• Aggregate and reconcile usage data across Apptio, Snowflake, Salesforce (SFDC), Jira, and ZMP platform systems.
• Design and deliver client-level dashboards displaying contractual entitlements, usage trends, and projections.
• Provide executive-ready monthly reporting to Finance, Sales, and Client Success leadership.
• Manage onboarding of new contracts and removal of expired contracts from tracking.
• Partner with Operations to ensure platform instances are retired upon contract expiration.
• Establish governance processes, audit controls, and standard operating procedures.
• Support hiring, onboarding, and leadership of the Hyderabad-based Analytics team.

Required Qualifications

• Bachelor’s degree in Finance, Accounting, Business Analytics, Economics, or related field.
• 7+ years of experience in Analytics, Revenue Operations, FP&A, Financial Systems, or related discipline.
• Experience with contract-based or usage-based pricing models.
• Strong understanding of revenue recognition and margin analysis principles.
• Advanced SQL skills (Snowflake preferred).
• Experience with Salesforce and enterprise data systems.
• Expertise in dashboarding tools (Tableau, Power BI, Looker, or equivalent).
• Strong analytical, organizational, and communication skills.

Preferred

• Experience in SaaS, advertising technology, or data platform environments.
• Familiarity with Apptio or cost modeling platforms.
• Experience building or leading analytics teams.
• Knowledge of platform metering frameworks.
• Experience working in a global, cross-functional organization.

Company Summary

Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen- ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html

ABOUT THE ROLE: 

We are looking for a Complaints Analyst to join our team. The successful candidate will be responsible for managing complaints from UK members and non-members regarding our products, services or customer service.

As a Complaints Analyst, you’ll be expected to:

• Take ownership of complaints from start to finish
• Investigate complaints and identify the root cause of the issue
• Communicate with complainants through various channels to resolve complaints in a timely and professional manner
• Work closely with the relevant departments within Tide to identify any systemic issues and develop solutions to prevent future complaints
• Maintain required productivity and quality levels

Key Responsibilities

• Complaint Investigation: Manage and progress multiple complaints through to fair resolution, ensuring adherence to FCA DISP rules and internal policies
• Regulatory Compliance: Ensure all responses meet FOS (Financial Ombudsman Service) and FCA (Financial Conduct Authority) requirements adhering to TCF (Treating Customers Fairly) and CD (Consumer Duty) outcomes
• Root Cause Analysis (RCA): Conduct thorough fact-finding and critical analysis to identify recurring themes and suggest process improvements to prevent future issues
• Professional Correspondence: Draft clear, concise, and compliant final response letters that explain complex financial findings in accessible, jargon-free language
• Vulnerable Customers: Identify and provide tailored support for customers in vulnerable positions, ensuring compassionate and equitable treatment
• Stakeholder Collaboration: Liaise with internal teams like Operations, Compliance and Product to gather data and resolve cases efficiently 

WHAT WE ARE LOOKING FOR: 

• Professional Experience
  • UK Complaints Handling: Demonstrable experience in managing UK-based financial complaints within a regulated environment.
  • Financial Industry Knowledge: Solid understanding of financial products and the broader UK regulatory landscape (FCA, FOS, Treating Customer Fairly(TCF).
  • Startup Familiarity (desirable): Previous experience working in a startup or fast-paced FinTech environment, demonstrating adaptability and proactive problem-solving.
• Soft Skills & Communication
  • Empathetic Communication: Exceptional ability to build rapport, listen actively, and show genuine compassion during difficult conversations
  • Resilience & Conflict Resolution: The ability to remain calm under pressure, handle challenging interactions, and manage conflict professionally
  • Time Management: Highly organised with the ability to multitask and meet strict regulatory deadlines
  • Analytical Mindset: Strong attention to detail and a passion for finding solutions to complex, non-standard situations 
• Technical Proficiency
  • Industry Tools: Proficient in GSuite (Google Workspace), Slack, Confluence, Looker, and Jira
• Desired Qualifications
  • Certificate in Complaint Handling (CCBI) from the Chartered Banker Institute
  • Professional Banker Certificate

WHAT YOU WILL GET IN RETURN 

• Competitive salary 
• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm 
• Learning & Development Budget 
• WFH Setup allowance 
• 15 days of Privilege leaves
• 12 days of Casual leaves
• 12 days of Sick leaves
• 3 paid days off for volunteering or L&D activities 

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 markets.

By taking the complexity out of the financial workflows–including everything from global payments and compliance, to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

Role summary 
Location: India, Payoneer office
Hybrid
Full-time

We’re looking for a motivated, detail-oriented junior professional to own the day-to-day operations behind our pricing and packaging processes. In this role, you will consolidate work that is currently distributed across teams and regions and manage it end to end—handling requests, validating inputs, coordinating approvals, governance checks, ensuring accurate setup and timely delivery. You will also use analytics to track progress and performance, monitor key trends, and share insights that help us improve execution and scale.

This is a strong entry point into Payoneer’s Pricing team and the broader high-tech environment—ideal for someone eager to learn, comfortable with hands-on execution, and excited to grow as we scale the function and automate over time.

What you’ll do

• Own the day-to-day pricing and packaging operational flow from start to finish
• Be the main point of contact for GTM operational requests related to pricing, packages, and commercial agreements
• Collect and validate inputs (customer details, deal terms, required fields), ensuring nothing is missing
• Coordinate approvals and governance checks based on defined policies and process standards
• Manage agreement and contract workflow coordination, including version control and readiness for signature
• Work closely with Sales, Customer Success, Deal Desk, Salesforce Admins, and configuration teams to unblock issues and keep work moving
• Ensure accurate setup and configuration in systems and tools, followed by final quality checks

• Use analytics to track package performance and adoption by segment and region (e.g., win rate, ARR, NRR), and share insights to improve execution and the offering.

• Document manual steps and recurring issues to help simplify the work and prepare for automation
• Preform analytical analysis on package financial impact customer base ,service adoption such as win rate , ARR, NRR LTV, winning use cane revenue and more

Who you are

• 1–3 years of experience in revenue/business/ sales operations, operations, analytics or a related field
• Comfortable working with data and analytics tools (Excel, Google Sheets, Looker or similar)
• Experience with Salesforce, contract management, or pricing/configuration tools is a plus
• Highly organized with a strong attention to detail and a drive to bring structure to ambiguous situations
• A team player who enjoys cross-functional collaboration and can work effectively across multiple regions and stakeholder groups
• Proactive, self-motivated, and genuinely excited to get your hands dirty and build something
• Eager to grow in a high-tech environment ,this is a great entry-level opportunity for the right candidate

#LI-ST3

The Payoneer Ways of Working

Act as our customer’s partner on the inside

Learning what they need and creating what will help them go further.

Continuously improve

Always striving for a higher standard than our last.

Do it. Own it.

Being fearlessly accountable in everything we do.

Build each other up

Helping each other grow, as professionals and people.

If this sounds like a business, a community, and a mission you want to be part of, click now to apply.

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.

Who we are

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

Who you are

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

What you'll do

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

What we're looking for

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

While not required, these are a plus:

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

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

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

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 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

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!

You’re excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

We’re excited about you because…

• 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Excellent communication skills and experience working with technical and non-technical teams
• Comfortable working in fast fast-paced environment, self-starter, and self-organizer
• Ability to think strategically, analyze, and interpret market and consumer information

Nice to Have

• Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
• Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
• Familiarity with experimentation concepts like A/B testing and their data requirements

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

About the Role

DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You're excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines
• Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

We're excited about you because…

• 5+ years of professional experience
• 3+ years experience working in data engineering, business intelligence, or a similar role
• Proficiency in programming languages such as Python/Java
• 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
• Excellent communication skills and experience working with technical and non-technical teams
• Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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!

About Manifest Global

Manifest Global is building the infrastructure for global human capital mobility -connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early.

About This Role

Manifest Global operates four brands across 50+ countries, generating data across thousands of schools, hundreds of thousands of students, and 1,000+ university partners. Counselor behaviour, student application journeys, university conversion rates, placement outcomes, attribution revenue - it's all there. The data exists. The question is whether the infrastructure around it is good enough to make it useful.

Right now, the data platform works. Pipelines run, the warehouse holds data, the BI layer surfaces reports. But Manifest is growing - new brands, new markets, new activation use cases - and the infrastructure needs to scale with it. There are pipelines that need to be more reliable. Transformation logic that needs to be cleaner. Warehouse design that needs to handle more volume without degrading performance. And an activation layer - reverse ETL, operational analytics, data flowing into the tools the business actually uses - that is still being built.

As a Senior Data Engineer, you will own significant parts of the data platform end to end - ingestion, transformation, warehouse, activation - and you will be one of the people who determines whether Manifest's data infrastructure is a genuine competitive advantage or a persistent constraint. You will work closely with Principal Engineers, Product, and business stakeholders across all four brands, and you will be expected to operate with the ownership and judgment of someone who has built production-grade data systems before.

What makes this role different: Manifest has real data - cross-brand, multi-geography, commercially significant data. The stack is modern: Snowflake, dbt, Hevo, Airtable, Metabase. The problems are real. And when the data infrastructure surfaces the right insight, it changes a decision that affects real students and real institutions.

AI is central to how we build: This isn't just a data engineering role - it is a role where you will actively design and build AI infrastructure that accelerates the team's own development velocity. We use Snowflake Cortex AI with Claude in our daily engineering workflow - for debugging, RCA, query optimisation, and pipeline analysis. We have already cut root cause analysis time. The next step is embedding AI deeper: automated ticket handling, intelligent monitoring, and AI-assisted development tooling that lets the team move faster without sacrificing reliability.

What You Will Own

1. AI Infrastructure for Data Engineering

• Design and build AI-assisted development tooling - LLM-powered code generation for dbt models, SQL transformations, and pipeline scaffolding that dramatically reduces time-to-production for new data assets
• Build intelligent data quality and anomaly detection systems - AI-driven monitoring that learns normal patterns across pipelines and surfaces anomalies before they propagate downstream, replacing manual threshold-based alerting
• Implement AI-augmented data cataloguing and lineage - automated documentation generation, schema understanding, and semantic tagging so engineers spend less time writing docs and more time building
• Develop AI-powered pipeline debugging and root cause analysis - tooling that diagnoses failures, traces impact through the DAG, and proposes fixes rather than requiring engineers to trace failures manually
• Build and maintain the infrastructure that supports AI features - vector stores, embedding pipelines, retrieval layers, and model serving infrastructure that powers AI capabilities across Cialfo, BridgeU, and Explore
• Evaluate and adopt emerging AI developer tools - stay ahead of how AI tooling (Claude, Cortex AI, GitHub Copilot, LLM APIs) can be embedded into the team's workflow to shorten feedback loops and accelerate feature delivery

2. Data Warehouse Design, Cost & Maintenance

• Own significant portions of the Snowflake data warehouse - schema design, performance optimisation, and the integrity of the data models that the rest of the stack depends on
• Apply strong data warehousing methodologies: dimensional modelling, layered transformation logic, clear separation between raw, staged, and served layers
• Design and build cross-brand data primitives - shared, canonical data layers for K12, Student, University, and Application data that work consistently across Cialfo, BridgeU, and Kaaiser. This is active work and a critical foundation for the multi-brand data platform
• Own Snowflake cost optimisation - monitor warehouse spend, identify high-cost queries and sync jobs, right-size warehouse configurations, and drive measurable reductions in monthly compute spend.
• Ensure the warehouse handles increasing data volumes from across all four brands without degrading query performance or downstream reliability

3. ETL/ELT Pipelines, Scheduling & Transformation Logic

• Design, build, and maintain production-grade data pipelines - ingestion via Hevo or similar, transformation via dbt, SQL-based logic that is clean, documented, and maintainable
• Design and manage Snowflake Task DAGs - build and maintain dependency-chained task graphs for ingestion, LLM processing, and sync workflows. Understand how to structure root tasks, child tasks, CRON scheduling, warehouse assignment, and failure isolation so pipelines don't cascade-fail
• Own Airtable as an operational data layer - manage Snowflake-to-Airtable and Airtable-to-Snowflake sync workflows, including the SNOWFLAKE_TO_AIRTABLE_TABLELIST sync config, upsert logic, incremental filters, and sync cost optimisation. Airtable is both a key data source and a reporting destination across brands
• Build and own reverse ETL workflows that activate warehouse data into operational tools - getting the right data into the hands of the teams that need it, not just into dashboards
• Take full ownership of pipeline failures: root cause identification, fix, downstream impact analysis, and prevention - not just resolution

4. Data Quality & Reliability

• Define and enforce data quality standards across datasets you own - automated validations, delta checks, row counts, time-based monitoring
• Build monitoring and alerting that surfaces problems before they reach the business
• Document data lineage, transformation assumptions, and technical decisions so the platform is understandable and maintainable as the team grows

5. BI Platform & Reporting

• Maintain and enhance the existing BI layer - Metabase and build reporting interfaces that non-technical stakeholders can actually use
• Collaborate with Product and Analytics teams to translate business needs into reliable technical solutions
• Communicate clearly across all four brands - be the person who can explain a data problem in business terms and a business problem in data terms

What Success Looks Like

You'll start by building a complete picture of the current state - which pipelines are fragile, where data quality is inconsistent, what the highest-impact improvements look like, and where activation use cases aren't yet built. You will have a point of view on where to move first.

From there, the infrastructure will be measurably more reliable. Pipelines that were breaking will run consistently. Data quality issues will be caught early or prevented entirely. The BI layer will be getting used - not just maintained.

Over time, the data platform will be something the business genuinely relies on - fast enough to support the pace of growth, reliable enough that data consumers trust what they are looking at, and built in a way that the next engineer who joins can understand and extend without starting from scratch.

About You

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience

Experience

• 5+ years building and maintaining production-grade data pipelines and data warehouses - not prototypes, but systems that real business decisions depend on
• Strong experience architecting and implementing large-scale business intelligence solutions
• Strong experience in data warehouse design and advanced SQL
• Hands-on experience with the modern data stack: Snowflake (or equivalent cloud warehouse), dbt, Hevo or Airbyte or similar
• Advanced SQL proficiency: CTEs, window functions, QUALIFY, query optimisation, and understanding the difference between SQL that works and SQL that scales
• Experience with Snowflake-native features: Task DAGs, Dynamic Tables, Snowflake Cortex AI, AI_COMPLETE, warehouse sizing, and query profiling
• Experience with Airtable as an operational data layer - syncing data between Snowflake and Airtable, managing upsert logic, and keeping sync costs low
• Experience owning Snowflake cost monitoring and optimisation - identifying expensive queries, bloated sync jobs, and warehouse over-provisioning
• Experience with user-facing BI tools: Metabase, Looker, or similar
• Experience working in agile, ticket-based workflows (Jira)
• Experience building or integrating AI/LLM tooling into data engineering workflows - specifically Snowflake Cortex AI, or LLM APIs (OpenAI, Anthropic, etc.) for structured data tasks, fuzzy matching, or pipeline automation
• Familiarity with vector databases, embedding pipelines, or retrieval-augmented generation (RAG) infrastructure is a strong plus
• Exposure to MLOps or AI infrastructure patterns - model serving, feature stores, or AI monitoring - is an advantage

Skills & Qualities

• You take ownership of reliability. When a pipeline fails, you don't just fix the immediate problem - you understand why it happened, what it affected downstream, and what needs to change so it doesn't happen again
• You communicate clearly with non-technical stakeholders. You've sat in a requirements conversation with a commercial or product team, understood what they were actually asking for, and built something that answered the real question
• You document your work well enough that someone else could maintain it - data lineage, transformation assumptions, technical decisions
• Comfortable working in a multi-brand, multi-stakeholder environment where data problems span different systems, teams, and geographies
• Strong problem-solving skills and attention to detail
• Ability to hold multiple priorities simultaneously and make good judgments about what to work on first
• You're genuinely excited about AI as a force multiplier for engineering teams - you actively use AI tools in your own workflow and have a point of view on how they can make data teams faster without sacrificing reliability

Why Manifest

We're building the infrastructure for global human capital mobility - the rails that move students, schools, universities, and employers across 50+ countries. Cialfo is in 2,000+ schools. Explore is trusted by 1,000+ universities. BridgeU runs across the UK, Europe, and the Middle East. Kaaiser has guided students across India and Southeast Asia since 1997.

The opportunity is real. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that.

$80M raised from Tiger Global, SIG, and Square Peg. Still early.

The team has already built the infrastructure for AI-native engineering - shared conventions, a live skills library, AI-assisted workflows across engineering, QE, product, and design. Saige is in production. Explore's AI capabilities are in production. This isn't an aspiration we're hiring you to bring to life. It's an operating system we're hiring you to extend, scale, and make permanent.

As a Quality Assurance Lead, you will act as the strategic driver for quality integrity across the vendor network. You are responsible for designing the audit framework, managing senior-level stakeholder relationships, and ensuring that the Quality Assurance team effectively identifies and mitigates risk within vendor operations.

You Will:

• Lead the Audit the Auditor program to ensure global consistency in policy enforcement.
• Serve as the primary point of escalation for complex quality disputes and policy interpretations between Roblox and vendor partners.
• Analyse large-scale quality data sets to provide executive-level insights on vendor performance and platform health.
• Design and implement calibration standards that align vendor quality outcomes with Roblox internal benchmarks.
• Mentor and develop Quality Assurance Associates to improve their technical auditing and analytical capabilities.
• Collaborate with Policy and Product teams to ensure quality rubrics are updated in real-time as platform features evolve.

You Have:

• At least 5 years of experience in operations, quality management, or audit, with at least 3 years in a leadership role within a trust and safety environment.
• Proven track record of managing large-scale BPO quality operations and implementing process improvement frameworks like Lean or Six Sigma.
• Bachelor’s degree in a relevant field; advanced certifications in quality auditing or risk management are preferred.
• Data fluency (Tableau, Looker, or PowerBI) and proficiency in SQL or complex spreadsheet modeling.
• Exceptional negotiation and presentation skills, with the ability to influence senior leadership and external vendor executives.

Get to know Okta

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

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

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

The Data Enablement Team

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

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

The Senior Data Analyst Opportunity

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

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

What you’ll be doing 

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

What you’ll bring to the role

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

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

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

What you can look forward to as an Okta employee!

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

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

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

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

#Hybrid_Bengaluru

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The Opportunity:

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

What You'll Do:

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

What You'll Bring:

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

Bonus Points For:

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

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

#LI-Hybrid

P22262_3137714

Get to know Okta

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

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

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

The Data Enablement Team

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

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

The Senior Data Analyst Opportunity

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

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

What you’ll be doing 

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

What you’ll bring to the role

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

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

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

What you can look forward to as an Okta employee!

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

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

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

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

#Hybrid_Bengaluru

#LI_Linkedin P24589_3405679

POS-30314

HubSpot’s mission is to Help Millions of Organizations Grow Better. HubSpot’s Operations team is core to this goal by supporting the HubSpotters who attract, engage, and delight HubSpot’s customers. Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of decision-making across Flywheel. Flexible, well-connected, well-architected data are the backbone of our strategy, along with the Analytics Engineers who create that landscape. 

We believe in the power of data to drive effective decision-making. We leverage data for both day-to-day operations (improving efficiency by surfacing the right data at the right time) and for strategy (fostering deep understanding of what makes our flywheel spin, and projecting how to spin it faster in the future). In this role, you’ll be a member of the Data, Systems, & Intelligence team to design and build a modern data foundation for efficient models and analyses. Your work will directly support analytic and ML products that will change the way we make decisions within Flywheel at HubSpot. 

We’re looking for Analytic Engineers with a strong interest in building and maintaining flexible, reusable architecture for our highest value data assets. In this role, you will develop a deep understanding of the business and analytics priorities to create solutions that will unlock our ability to scale and drive actionable insights.

In this role you’ll get to:

• Collaborate with both technical and non-technical areas of the business, bridging the gap between the business problem and the technical solution
• Build out scalable data models to analyze key parts of the HubSpot business
• Establish and uphold technical best practices in maintaining the data infrastructure and and contribute to the company's long term data strategy
• Support distributed operations teams as they utilize these foundational data models for reporting
• Perform complex root cause analysis of problems and subsequently, makes and implements recommendations to prevent future occurrences
• Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
• Scope requirements with internal stakeholders and lead working groups to usher projects through their entire lifecycle while building clear roadmaps for cross-functional team members
• Learn from our team of Analytics engineers, as well as HubSpot’s greater AE community
• Mentor and upskill other analytics engineers to create an inclusive team environment while promoting diversity, inclusion and belonging

We are looking for people who have:

• Several years of hands-on SQL experience, relational databases, and data modeling
• Ability to document technical design documents and organizational skills
• Proven communication skills and ability to bridge between business leaders, engineers, and data scientists
• Experience distilling complex ideas and data for both executives and front-line reps
• Creative problem solving skills to identify flexible solutions to business questions
• Insatiable curiosity and interest in learning new things
• Snowflake, dbt, and/or Looker experience is a plus

Role

Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. HubSpot is a place where everyone can grow. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day.

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work through. If that sounds like something you’d like to be part of, we’d love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #1 Best Place to Work on Glassdoor in 2020, and has been recognised for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot. 

By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes.  Please see HubSpot's Recruiting Privacy Notice for more information. 

The opportunity

The Paid Social Specialist will join TechnologyAdvice’s Paid Media team and focus on building, managing, and optimizing paid social advertising campaigns that drive high-intent B2B technology buyers to our owned properties. This role exists to deepen the team’s specialization in paid social channels as our paid media program continues to scale across multiple platforms.

You will work closely with the Associate Director of Paid Media, the Paid Social Strategist, and other team members to support and execute campaign initiatives across Meta, LinkedIn, and additional social platforms. This is a hands-on role responsible for campaign builds, audience development, performance optimization, reporting, and experimentation. The ideal candidate brings strong platform expertise, analytical thinking, and the ability to manage campaigns at scale while continuously improving performance and ROAS.

Employment Level: Mid-Level

Employment Type: Contract (India)

Location: India 

What you'll do

• Build, launch, and manage paid social campaigns across platforms, including Meta (Facebook/Instagram), LinkedIn, TikTok, Quora, Reddit, and other social channels.
• Develop and refine audience targeting strategies, including core audiences, lookalikes, and retargeting segments using first-party data and platform signals.
• Monitor campaign performance and adjust bidding strategies, budgets, targeting, and creative to improve efficiency and increase return on ad spend (ROAS).
• Collaborate with marketing, creative, analytics, and engineering teams to ensure accurate tracking, event implementation, and campaign measurement.
• Manage creative requests and coordinate with design teams to produce ad assets that meet platform requirements and campaign objectives.
• Analyze campaign performance using social ad platforms, Google Analytics, and reporting tools such as Looker Studio or Tableau.
• Prepare performance summaries and reporting dashboards to communicate campaign insights and results to internal stakeholders.
• Identify opportunities to scale high-performing campaigns and improve underperforming segments through testing frameworks and optimization strategies.
• Stay current on platform updates, new ad formats, automation features, and industry trends in paid social advertising.
• Contribute to the ongoing expansion of our paid media initiatives by testing new channels, audiences, and creative approaches.

Who you are

• 3 - 5 years of hands-on experience building and managing paid social campaigns, specifically within Meta Ads and LinkedIn Ads.
• Experience managing campaigns with meaningful budgets (ideally $50K–$100K+ per month) and optimizing toward performance metrics such as ROAS and revenue.
• Strong working knowledge of paid social campaign structure (campaigns, ad sets, targeting, ads) and optimization levers, including bidding strategies, audience segmentation, and creative testing.
• Comfortable analyzing performance data and translating insights into actionable optimizations that improve campaign results.
• Experience working with analytics and reporting tools such as Google Analytics, Looker Studio, Tableau, or similar platforms.
• Familiarity with additional paid social channels such as TikTok, Quora, or Reddit is a plus.
• Ability to manage multiple campaigns simultaneously in a fast-paced marketing environment.
• Comfortable working with cross-functional teams, including marketing, creative, BI, engineering, and product stakeholders.
• Available to work U.S. business hours (Philippines night shift schedule).
• Access to a reliable laptop, a stable internet connection, and backup power or connectivity.

**The duties and responsibilities listed above describe the post as it is in general terms and are not definitive.  The job holder is expected to accept any reasonable alterations that may from time to time be necessary. **

#LI-Remote

*Please note that, as this is a contract position, no perks or benefits are included with this role.

Work authorization

Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in India at hire and must maintain authorization to work in India throughout their employment with our company.

About the Role

Our Warehouse Supervisors at Stitch Fix are frontline leaders within our operations organization, responsible for leading large teams of hourly employees to achieve daily performance goals while fostering a positive and inclusive work environment. This role drives day-to-day execution within a core department while supporting broader site and company initiatives. You will partner with operations leadership and cross-functional teams to deliver strong business results, enhance team performance, and bring Stitch Fix’s culture and values to life.

Responsibilities

• Lead, coach, and develop a large team of hourly employees to achieve daily operational and throughput goals
• Own daily workforce planning and execution, using data to identify trends, address gaps, and drive continuous improvement
• Deliver onboarding, training, and ongoing coaching to support employee growth and engagement
• Manage operational processes such as timekeeping, attendance tracking, and reporting with a high level of accuracy and attention to detail
• Use AI tools (e.g., ChatGPT, Copilot) and operational systems (e.g., workforce management platforms, Excel/Google Sheets, dashboards) to analyze performance and improve decision-making
• Champion innovation by implementing new processes, encouraging feedback, and driving efficiency improvements

Requirements

• 4+ years of experience in a direct people leadership role, with a proven ability to lead, coach, and inspire teams
• Experience managing teams in a fast-paced warehouse, fulfillment, or operational environment
• Demonstrated ability to analyze data and use insights to drive daily execution and continuous improvement
• Strong attention to detail with the ability to manage multiple priorities while maintaining accuracy
• Proficiency in Microsoft Excel or Google Sheets, including reporting, trend analysis, and data-driven decision-making
• Excellent leadership, communication, and interpersonal skills
• Strong problem-solving skills and ability to make decisions in a fast-paced environment
• Ability to work on the floor for extended periods (8+ hours) in a hands-on leadership role
• Flexibility is important, as you should be available to address issues outside of standard business hours, and willing to work on nights or weekends as required.
• Familiarity with AI tools (e.g., ChatGPT, Copilot) and comfort learning new technologies
• Nice to Have
  • Experience leading large, diverse teams (part-time and full-time)
  • Exposure to continuous improvement methodologies (e.g., Lean, Six Sigma)
  • Experience implementing new processes or leading change initiatives
  • Familiarity with analytics or visualization tools (e.g., Tableau, Looker)

We are an equal opportunity employer seeking individuals who value and will support a friendly, team-oriented and drug free workplace.  Applicants may be required to submit to a criminal background check and drug screen prior to commencing employment.

About Liberis

Liberis was founded and is backed by Blenheim Chalcot.

Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning. 

The Team

We are the Risk team responsible for managing the credit risk of Liberis’ portfolios, which include designing effective new strategies, managing the credit quality of our products across geographies, and providing specialist credit risk advice to the business.

The Risk team is based in London and covers Risk analytics, Decision Science, Underwriting and Collections. Our mission is to grow Liberis profitably to become the leading embedded business finance provider and we are now looking for a Analyst/Senior Credit Risk Analyst to join us on this journey.

The Role

You are someone that is excited by the prospect of a challenge, appreciate autonomy and the space to generate your own ideas and are passionate about finance that serves to support small businesses, not just turn a profit.

Reporting to the Senior Manager in the Risk Management team you will develop best in class credit risk strategies that reward our members and deliver value to Liberis. You will have the opportunity to work on a broad range of projects and workstreams that provide credit risk insights while ensuring we stay within the organisation’s risk appetite.

You should have experience in a similar analytical role where you have used statistical and analytical tools to drive innovative strategy changes. You should be able to derive insights from data and be able to present results in a concise way to relevant stakeholders.

What you’ll be doing

1. Risk Data Architecture & Structuring

• Design and maintain scalable credit risk data marts and portfolio datasets.
• Define and document data definitions, schemas, and maintain metric logic for key risk indicators (e.g. delinquency, roll rates, vintage curves, loss metrics).
• Partner with Data Engineering to optimise warehouse structures (Snowflake/BigQuery/Redshift or equivalent) and to improve the accuracy, consistency, and automation of risk reporting processes.
• Ensure consistency and governance across risk, finance, and commercial datasets.
• Validate and reconcile underlying data sources, ensuring data quality standards are upheld.
• Use data to ensure the execution of our strategy is in line with expectations with the right governance, control, and monitoring.

2. Building scalable Reporting & Automation layer

• Build reusable reporting layers that scale as origination volumes and product complexity increase.
• Create self-serve reporting environments for risk stakeholders while maintaining control frameworks.
• Prepare reporting and datasets for new initiatives on an ad-hoc basis and deep-dive insights required by Risk, Finance, and executive and senior leadership.
• Create ability to do data mining by the rest of the risk team.
• Bring visibility to more datasets that will support risk team’s day-to-day analytics and operational management towards SLAs

3. Supporting Portfolio Monitoring & Analytical Frameworks (Build scalable monitoring frameworks covering as below)

• Portfolio performance tracking
• Early warning indicators
• Concentration and exposure monitoring
• Vintage and cohort analysis
• Stress and sensitivity views
• Ensure reporting can flex across products, segments, and funding structures.

4. Ensuring Data Quality, Controls & Governance

• Implement validation checks and automated reconciliations within reporting pipelines.
• Own data integrity across risk reporting outputs.
• Develop monitoring for data drift and structural anomalies.
• Support internal audit and regulatory reviews with well-documented reporting logic and traceability.
• Closely collaborate with colleagues across Liberis, especially in the Engineering, Analytics, Product, Growth, Partnerships, and UK/US/European teams.

What we think you’ll need

• Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Engineering or related quantitative discipline.
• 2-4 years experience in data management, building data marts or database maintenance.
• Strong affinity to build deep understanding of data flows and build re-usable datasets for the end-analytical users. Experience in a similar data role is a must.
• Demonstrated ability to drive high-quality analysis, with a robust understanding of how this will be used practically.
• Advance level proficiency and strong experience with databases management and analytical data product creation; Minimum 1 year of experience with Google Cloud Platform tools such as Looker, DBT, and BQ would be a must-have (minimum 6-months exp)
• Intermediate level proficiency in Excel and at least one BI/data visualisation tool (e.g.,Power BI, Tableau, Looker).
• Advanced SQL proficiency - ability to write complex queries independently across large datasets
• Ability to convey complex findings in a logical and easy-to-understand style.
• Turns rigorous analysis into clear, reasoned recommendations.
• Excellent analytical and problem-solving skills with strong attention to detail (must-have)
• Clear communicator with ability to explain complex data insights to non-technical stakeholders.
• Strong judgement, with the ability to make trade-offs between what is desired and what is feasible.
• Comfortable working in a fast-moving, ambiguous, and changing company.
• Experience working cross-functionally with engineering, risk, operations, and finance teams.
• A collaborative mindset and willingness to work with a wide range of teams.
  Experience in lending analytics or fintech credit products.
• Understanding of credit risk metrics and frameworks (PD/LGD/EAD) and lending

Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

About the Role

As a member of the Founder's Office, you will be the bridge between high-level vision and operational excellence. The moment our B2B Growth team secures a partnership, you take the baton - becoming the Single Point of Contact (SPOC) and ultimate owner of the partner's success. Every commitment made on paper, you turn into a seamless, high-impact reality.

This role is far more than managing a checklist. You will navigate internal Business Units (BUs), align complex Standard Operating Procedures, and ensure our partners view us as an indispensable extension of their own team. If you thrive in ambiguity, lead through influence, and get satisfaction from making big things actually work - this is your seat.

Key Responsibilities

• End-to-End Partnership Management. Take full ownership of the partner lifecycle post-onboarding - driving partner experience, retention, and the overall success of every collaboration.
• Cross-Functional Orchestration. Act as the connective tissue between the partner and internal teams. Work closely with BU Heads across Care, Product, and Operations to align workflows with the SLAs and health outcomes promised to the partner.
• Operational Excellence (SOPs & SLAs). Define, implement, and continuously monitor the Standard Operating Procedures required to deliver on partnership goals. Ensure internal delivery consistently meets the Service Level Agreements committed during the sales process.
• Communication & Reporting. Lead all partner communications. Build and share comprehensive scoreboards and performance dashboards that provide transparency on business metrics, health outcomes, and project milestones.
• Revenue & Commitment Delivery. Ensure all contractual obligations are met to trigger timely payments. Proactively identify and unblock hurdles that prevent us from delivering on our value proposition.
• Founder's Liaison. Provide regular strategic updates to the Founder on partnership health - surfacing risks early and proposing solutions to scale the B2B ecosystem.

What We're Looking For

• The “Owner” Mentality. You don't wait for instructions. You see a gap in the process and you bridge it. You feel personally responsible for the partner's ROI.
• Stakeholder Management. You can navigate a room full of BU Heads, influence without direct authority, and align everyone toward a common business metric.
• Data-Driven Rigor. You are comfortable living inside scoreboards. You translate raw data into a narrative that proves value to a partner.
• Precision Communication. Whether it's a high-stakes email to a partner CEO or an internal Slack note to a care lead, your communication is clear, professional, and results-oriented.
• Project Management Expertise. A proven track record of managing complex, multi-layered projects where missing a deadline isn't an option.

Education, Experience & Technical Skills

Education

• Bachelor's degree required in Engineering, Business, Economics, or a related discipline from a reputed institution.
• MBA strongly preferred from a Tier-1 B-school (IIM, ISB, XLRI, FMS, or equivalent).

Experience

• 5–8 years of total experience, with at least 3 years in partnership management, key account management, customer success, strategy & operations, or top-tier management consulting.
• Demonstrated ownership of high-value B2B relationships where you were directly accountable for retention, renewals, or revenue delivery.
• Healthcare, digital health, or B2B SaaS exposure preferred. Comfort with clinical or care-delivery stakeholders is a strong plus.
• Founder's Office, Chief of Staff, or Program Management experience in a high-growth startup environment is highly desirable.
• Proven track record of leading cross-functional initiatives across Product, Operations, and customer-facing teams.

Technical Skill Set

• Project Management Tooling. Hands-on with Asana, Jira, ClickUp, or Monday - comfortable owning Gantt charts, sprint plans, and milestone trackers.
• Data & Analytics. Advanced Excel / Google Sheets (pivot tables, lookups, modeling). Working knowledge of SQL and a BI tool such as Looker, Tableau, Power BI, or Metabase.
• Dashboarding & Reporting. Experience designing partner-facing scoreboards and operational dashboards that translate metrics into clear narratives.
• Communication & Presentation. Strong PowerPoint / Google Slides craft for executive-grade decks, and crisp written communication for partner-facing emails and internal briefs.
• CRM & Workflow Systems. Familiarity with Salesforce, HubSpot, or equivalent CRM, plus collaboration tools like Slack, Notion, and Confluence.
• Process Documentation. Comfort authoring SOPs, RACI matrices, runbooks, and SLA frameworks from scratch.

What Success Looks Like

In your first 6 to 12 months, you will have established yourself as the trusted owner of our most strategic partnerships - with documented SOPs in place, partner scoreboards live and reviewed cadenced with the Founder, all SLAs consistently met, and partners actively expanding their commitments because of the experience you have engineered.

If you are excited by the idea of operating at the intersection of strategy and execution - and being directly accountable to the Founder for outcomes that shape our B2B future - we'd love to meet you.

About Yugabyte

At Yugabyte, we are on a mission to become the default transactional database for enterprises building cloud-native applications. Our flagship product, YugabyteDB, is a PostgreSQL-compatible distributed database purpose-built for cloud-native workloads. It is resilient, scalable, and flexible—capable of running across any cloud or on-premises infrastructure. With familiar APIs and developer-friendly tools, YugabyteDB empowers developers to be instantly productive.

The transactional database market is projected to reach $64B by 2025, and YugabyteDB’s cloud-native design, horizontal scalability, and geo-distribution capabilities position us perfectly to meet this demand. Many of the world’s leading enterprises are migrating from legacy RDBMSs (Oracle, SQL Server, DB2) to YugabyteDB to power their mission-critical applications.

Join the Database Revolution at Yugabyte!

Role Overview

We are looking for a seasoned DevOps Engineer who is passionate about building scalable infrastructure while maintaining a relentless focus on cloud unit economics. You will lead our FinOps initiatives, ensuring our cloud footprint (AWS/GCP/Azure) is high-performing, secure, and cost-efficient.

Key Responsibilities

• Infrastructure Ownership: Lead the design and management of cloud infrastructure using IaC (Terraform/Pulumi), ensuring cost-efficiency is baked into the architecture from day one.
• FinOps Leadership: Establish and drive cloud cost-optimization strategies, including rightsization, lifecycle management, and committed use discounts (RIs/Savings Plans).
• Cost Visibility & Reporting: Build automated dashboards (using tools like CloudHealth, Kubecost, or native Quicksight/Looker) to provide granular visibility into spend by department, project, or microservice.
• CI/CD Optimization: Maintain and evolve CI/CD pipelines (GitLab CI, Jenkins, or GitHub Actions) with a focus on reducing "build waste" and optimizing ephemeral environment costs.
• Anomaly Detection: Implement automated alerting for cost spikes and unexpected resource utilization to prevent "cloud bill shock."
• Collaboration: Work closely with Finance and Engineering leadership to set cloud budgets, track KPIs (like cost per transaction), and advocate for a "cost-conscious" engineering culture.
• Observability: Manage full-stack monitoring (Prometheus, Grafana, ELK) to correlate performance metrics with cost data.

Qualifications

• Experience: 5+ years of professional experience in DevOps, SRE, or Cloud Engineering.
• Cloud Expertise: Deep hands-on experience with AWS , GCP, or Azure. Professional-level certifications are a plus.
• FinOps Proficiency: Proven track record of reducing cloud spend without compromising performance. Familiarity with the FinOps Framework (Inform, Optimize, Operate).
• Automation: Advanced scripting skills in Python or Go for automating cost-saving tasks (e.g., auto-stopping dev environments, identifying orphaned volumes).
• Containerization: Strong experience with Kubernetes (EKS/GKE) and knowledge of how to optimize k8s resource requests/limits.
• Analytical Mindset: Ability to translate complex cloud billing data into actionable business insights.
• Communication: Strong ability to influence engineering teams to adopt cost-saving best practices.

Equal Employment Opportunity Statement

Yugabyte is an equal opportunity employer committed to building a diverse and inclusive workforce. Employment decisions are made without regard to race, color, religion, national origin, gender, age, sexual orientation, disability, gender identity or expression, veteran status, or any other protected characteristic under applicable laws.

The opportunity
At Unity, you’ll make a difference. In a collaborative, fast-growing environment, we’re democratizing development, solving hard problems, and enabling our community's success.

Come join Unity as we continue to elevate our procurement operations! As a Procurement Analyst, you will play a critical role in transforming data into insights that drive strategic sourcing decisions, strengthen vendor performance, and improve the Procure-to-Pay process. You will build and maintain reporting that powers QBRs, monthly executive updates, and operational KPIs, ensuring data accuracy and visibility across the business.

You’ll partner closely with Accounting, Finance, Sourcing, and cross-functional stakeholders to support vendor management activities, provide analytical insights, and help create a seamless procurement experience for all Unity employees.

Reporting to the Manager of Procurement Operations, your mission is to deliver clear, reliable procurement intelligence that informs decision-making and supports a world-class procurement function.

Are you intellectually curious, detail-oriented, and excited about using data to solve problems? Then come be part of our journey!

This position requires working late evenings from 2 PM to 11 PM (IST), with a 1-hour lunch break included.

What you'll be doing

• Develop and maintain procurement reports and dashboards to support sourcing decisions, QBRs, and monthly metrics.
• Analyze supplier performance and support vendor management activities and improvement plans.
• Ensures accuracy and integrity of procurement data across enterprise systems, including supplier, contract, and purchase order information.
• Requires strong analytical skills, attention to detail, and proficiency in data visualization and reporting tools (e.g., Excel, EazyBI, Looker, or similar).
• Participate in special projects, analyses, and ad hoc tasks as required.

What we're looking for

• The ability to prioritize multiple tasks, projects, and timelines
• Familiarity with P2P tools and basic accounting principles
• Technically savvy and capable of learning new technologies
• Experience with new technologies (AI)

You might also have

• Previous experience as a buyer or other purchasing specialist (Facilities, HR, and Professional Services)
• Detailed understanding of end-to-end Procurement transactions in a large, global technology company
• Experience with procurement approval workflows, purchasing policy compliance, and contract review processes

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#MID #LI-AM1

Overview

As a Staff Engineer at Five9, you will work on core backend services that power our global cloud contact center platform. You will tackle complex engineering challenges at scale, remain deeply involved in coding, and contribute to a culture that values craftsmanship, innovation, and technical excellence—while mentoring others and shaping best practices.

What You’ll Do

• Design, develop, and optimize high-performance microservices using Java and Spring Boot
• Write clean, maintainable, and testable code with a strong focus on scalability, reliability, and performance
• Take ownership of services end-to-end — from design and implementation to deployment, monitoring, and ongoing operations
• Collaborate with architects and senior engineers on system design, technical reviews, and problem-solving
• Ensure services meet SLAs, performance metrics, and security standards
• Contribute to improving CI/CD pipelines, automation, and observability to reduce manual effort and improve service reliability
• Provide technical guidance and mentorship to mid-level and junior engineers through code reviews, pairing, and knowledge sharing
• Stay current with evolving technologies and help evaluate and adopt tools that strengthen our platform

What You Bring

• Strong debugging and problem-solving skills, with the ability to dive deep into complex production issues
• 7–10 years of development experience in Java microservices
• Deep expertise in Java, with strong experience in Spring / Spring Boot
• Proven ability to build and operate distributed, cloud-native microservices at scale
• Strong experience with GCP services (GKE, Pub/Sub, BigQuery, CockroachDB, Redis)
• Experience with Kubernetes, containerization, and CI/CD pipelines (GitLab or similar)
• Practical knowledge of SQL and NoSQL databases and caching strategies
• Solid understanding of system design, data structures, algorithms, and performance optimization
• Understanding of product architecture
• Comfortable leveraging agentic coding tools and AI-assisted development environments to enhance productivity and code quality

Nice to Have

• Experience in latency-sensitive, high-throughput systems
• Familiarity with Looker, analytics pipelines, and large-scale reporting systems
• Familiarity with Agile methodologies, JIRA, Confluence, and end-to-end testing practices
• Exposure to frontend technologies such as React and TypeScript

Technology & Tools

• Languages & Frameworks: Java, Spring, Spring Boot
• Cloud & Infrastructure: GCP (GKE, Pub/Sub, BigQuery, CockroachDB, Redis), Kubernetes
• DevOps & CI/CD: Git, GitLab CI/CD
• Collaboration & Documentation: Swagger, JIRA, Confluence

ABOUT THE TEAM: 

As the DGM of Collections, you will be the architect of Tide India’s debt management and recovery strategy. You will lead the end-to-end collections lifecycle—from early-stage delinquency to legal recovery—ensuring high recovery rates while maintaining Tide’s brand reputation and providing a positive member experience

ABOUT THE ROLE: 

• • Strategy & Framework: Design and implement a robust collections and recovery strategy for SME lending products (Unsecured Business Loans, Credit Lines, etc.).
  • Agency Management: Onboard, manage, and audit third-party collection agencies (DCA) across India, ensuring they adhere to Tide’s ethical standards and RBI guidelines.
  • Digital Transformation: Leverage data analytics and automation to move from traditional "calling-only" models to a digital-first approach (WhatsApp, automated IVR, personalized nudges).
  • Compliance & Risk: Ensure 100% compliance with RBI’s Fair Practice Code and debt collection guidelines. Mitigate operational and reputational risks.
  • Performance Monitoring: Track key metrics such as Roll Rates, Resolution Rates, Cost of Collections, and Net Credit Loss (NCL).
  • Stakeholder Management: Work closely with the Risk, Product, and Legal teams to provide feedback on portfolio quality and refine credit underwriting models based on collection insights.

WHAT WE ARE LOOKING FOR:

• Experience: 10–15 years in Collections/Recovery within the Indian financial landscape (Fintech, NBFC, or Private Banks).
• Domain Expertise: Deep understanding of the SME/MSME segment and unsecured lending recovery.
• Regulatory Knowledge: Expert-level knowledge of Indian banking regulations, SARFAESI Act, and legal recovery processes (Section 138, Lok Adalat).
• Leadership: Proven track record of managing large distributed teams and external vendors.2
• Tech-Savvy: Comfortable working with CRM tools, LOS/LMS systems, and data visualization platforms (like Looker or Tableau).

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE:

Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.

As a Senior Staff Engineer you’ll: 

• Define the architecture for Tide’s agentic platform
• Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability 
• Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
• Set standards for reliability, safety, scalability, and developer experience
• Provide technical leadership across teams and unblock critical decisions
• Implement cost-management and routing logic to optimize LLM spend across different providers
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories 

WHAT WE ARE LOOKING FOR:

• Deep experience building platform or infrastructure systems at scale
• Strong judgement across APIs, distributed systems, data, and cloud-native architecture
• Track record of leading complex cross-team technical problems
• Experience integrating third-party platforms without losing control of core architecture
• Strong understanding of reliability, security, and observability
• Experience with AI platform components is valuable, but not essential
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable 

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

About the team: 

The Customer Operations team is at the heart of Forma.ai's mission. This team has a direct impact on the growth of Forma.ai. They are results-driven and solutions-minded. 

The Customer Operations team works closely with our customers, helping them to understand and take advantage of all the features Forma.ai offers and ensuring that they get the most value from the platform.  

What you'll be doing:  

Reporting & Dashboarding

• Design, maintain, and enhance dashboards in BI tools (e.g., Looker Studio, Salesforce/HubSpot reports) to monitor marketing campaign performance, sales pipeline health, lead flow, and conversion metrics 
• Automate recurring reports and implement self-serve analytics capabilities for GTM teams 

Data Analysis & Insights 

• Analyze funnel performance from top-of-funnel marketing campaigns to bottom-of-funnel sales outcomes
• Provide regular insights into key KPIs like campaign ROI, customer acquisition cost (CAC), and attribution across channels
• Support A/B testing initiatives, sales activity analysis, and segmentation strategies 

Scripting & Automation 

• Write Python and SQL scripts to extract, clean, and structure data from external sources (e.g., job boards, press releases, M&A feeds, web scraping APIs)
• Build automated enrichment pipelines to augment CRM and marketing data with third-party insights (e.g., firmographics, hiring activity, technology stack, funding events) 

Data Quality & Tooling 

• Take ownership of data cleanliness and integrity across GTM systems (e.g., Salesforce, HubSpot, Databricks), including investigating issues, proposing solutions, and manually resolving historical data problems when necessary
• Maintain and improve key GTM logic — including lead scoring models, lifecycle stage transitions, attribution frameworks, and related automation rules — ensuring they are well-defined, consistent, and actionable 

What we're looking for:  

• Background in Engineering, Commerce, Mathematics and/or Statistics
• Natural curiosity about AI and emerging technologies — especially where they intersect with automation, data, and workflow orchestration across the GTM stack
• Familiarity with B2B go-to-market motions and how to measure their effectiveness
• Experience in report building, data analysis and workflow automation within a GTM tech stack (e.g. Salesforce, HubSpot, Gong, BI tools) 
• Proficiency in SQL or Python and familiarity with at least one BI tool (e.g., Power BI, Looker, Tableau)
• 3-5 years of related experience
• High achiever with a strong sense of ownership
• Ability to take ownership and run tasks in a fast-paced and evolving environment 

ABOUT THE TEAM

The Senior Operational Analyst for the Customer Support team will be responsible for analyzing and improving operational efficiency within the Customer Support department. This role will involve working closely with cross-functional teams to identify trends, assess performance, and provide insights that drive data-driven decisions to enhance member satisfaction, streamline support processes, and optimize overall team performance.

Some of the things you’ll be doing: 

• Develop and maintain reports, dashboards, and KPIs to monitor team and service performance.
• Identify patterns, trends, and areas of improvement in member support interactions, and proactively recommend solutions.
• Work closely with other departments (e.g., IT, product teams, customer experience) to ensure seamless support processes and identify system improvements that support member needs.
• Conduct root cause analysis for recurring issues or inefficiencies and recommend corrective actions.
• Help design and refine processes that lead to quicker resolutions and better member engagement.
• Create and maintain documentation for support processes, policies, and best practices

WHAT WE ARE LOOKING FOR

• Experience working with CRM systems
• ticketing platforms, or other customer support software.
• Proven track record in process optimization and performance analysis in an operational setting.
• Strong analytical and problem-solving abilities, with experience in interpreting data and translating it into actionable recommendations.
• Proficiency in data analysis tools such as SQL, Looker, Excel, Tableau, or Power BI.
• Strong understanding of customer service metrics (e.g., SLAs, First Response Time, Resolution Time, Customer Satisfaction).
• Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and actionable way.
• Ability to work under pressure, prioritize tasks, and manage multiple projects simultaneously.

WHAT YOU WILL GET IN RETURN 

• Competitive salary
• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm
• Learning & Development Budget
• WFH Setup allowance
• 15 days of Privilege leaves
• 12 days of Casual leaves
• 12 days of Sick leaves
• 3 paid days off for volunteering or L&D activities

ABOUT KHAN ACADEMY

Khan Academy is a fast-paced, nonprofit startup on a mission to provide a free, world-class education for anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of world-class instructional and practice resources that empowers learners. Whether they’re studying matrices, mitosis, or multivariable calculus, we want to offer students the resources to realize that they can learn anything. 

ABOUT KHAN ACADEMY INDIA

Khan Academy India aims to deliver a world class user experience that is locally relevant to learners in India and is enabled by a strong on-the-ground team and operations. Our learning system is mastery based, which allows students to master key concepts at a pace that is right for them before moving on to more challenging content. From serving under 500,000 learners in 2016, we are now serving almost 4 million learners a month across our websites, apps and youtube channels. These learners include both independent learners accessing us at home and teacher directed learners in schools. Our focus is to reach the underserved by making our content  accessible in local languages and by working with large public school systems. Khan Academy is available in Hinglish, Hindi, Gujarati, Assamese,  Marathi, Punjabi and Kannada.

ABOUT THE ROLE

We are looking for a person who will help us with data management, transformation, analysis and visualization. The primary focus will be on choosing optimal tools to use for these purposes and then maintaining, implementing, and monitoring them. Optimally you have knowledge of at least one dynamic language and SQL, a good business mindset, and data analysis competencies.

Please note that this is a 12-months contract role, subject to extension further. 

In this role you will: 

• Data Integration: Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery
• Database Management: Design, build, and maintain scalable data pipelines and workflows in BigQuery; Ensure data accuracy, consistency, and reliability
• Exploratory Analysis: Perform descriptive and diagnostic analyses to uncover trends, patterns, and insights.
• Business Reporting: Build dashboards, reports, and visualizations (e.g., in Streamlit, Looker Studio, Tableau, or similar tools) to support decision-making.
• KPI Definition & Tracking: Partner with stakeholders to define key business metrics and create systems for daily, weekly and monthly tracking as needed
• Data Storytelling: Translate complex datasets into clear, actionable insights for both technical and non-technical audiences

ABOUT YOU

You are someone with:  

• Experience with Education or EdTech industry is strongly preferred
• A willingness to roll up your sleeves and help the team get work done as we are growing 
• 4+ years of hands on experience in data analytics field, ideally in an education setting
• Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
• Strong SQL foundations & ability to manipulate data using R or Python
• Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling, BI tools, Bigquery)
• Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams, experience with BI tools is a plus
• Ability to work collaboratively with cross-functional teams to research and improve our content and products
• Being aware of good practices when collaborating in version control (Git)

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team like a for-profit.

• Competitive salaries and Meritocracy-driven, candid culture
• A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
• The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Remote work friendly, i.e. option to work from home; flexible schedules

LEARN MORE

• Sal’s TED talk from 2011
• Sal’s TED talk from 2015
• Sal’s TED talk from 2023
• A glimpse of our team:  http://www.khanacademy.org/about/the-team
• A glimpse of our content created: https://www.youtube.com/watch?v=ED8P8vchQJM
• Our Hinglish content in action: http://bit.ly/khanacademyyoutube 

HOW TO APPLY

• Complete the pre-work assignment here and submit your assignments below. Assignment submission is mandatory. We will not consider any application without the proper submission
• Attach your resume or LinkedIn URL in the space provided below. 
• Please submit a google drive link of your assignment
• Make sure you have enabled view access for anyone with the link.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

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.

About the Role

Fivetran is seeking a customer-focused Support Account Manager to join our Support organization. In this role, you will own the day-to-day support experience for a portfolio of customers by driving case momentum, coordinating internal stakeholders, and ensuring customers receive clear, timely, and accurate communication throughout the lifecycle of their issues. You will also help lead structured escalation workflows for high-risk or high-visibility situations by assessing business impact, aligning the right resources, maintaining accountability for next steps, and keeping customers confident that progress is being made.

This role is critical to delivering a consistent Premium support experience, preventing issues from stalling, reducing escalation risk, and strengthening operational rigor across support engagements. It requires strong judgment, customer empathy, cross-functional coordination, and the ability to remain calm and organized under pressure.

This role may participate in a weekend/on-call rotation, and Premium customers may require support outside standard business hours, so flexibility is important.

We’re looking for a a Support Account Manager , you will serve as a key operational owner of the customer support experience for your assigned accounts. You will ensure cases move forward with urgency, customer expectations are well managed, and internal teams remain aligned on priorities, owners, blockers, and next steps.

You will play an important role in both proactive account support and escalation execution; helping identify risk before it grows, restoring momentum when cases stall, and coordinating complex or business-critical issues with discipline and clarity. Success in this role requires strong communication, thoughtful prioritization, and the ability to translate technical investigation into business-relevant updates for customers and internal stakeholders.

This is a full-time position based out of our Bangalore office. This role requires working coverage shifts aligned to PST / EST / EMEA / early APAC, based on business needs.Must be flexible to participate in a weekend rotation to support 24×7 coverage when required.

Technologies You’ll Use

• Zendesk
• SupportLogic
• Jira
• Looker (basic reporting/metrics)
• Backstage
• AI-enabled tools and automation

What You’ll Do

Account support & case coordination

• Own the support experience for a portfolio of accounts by coordinating ticket progress, follow-ups, and customer communications.
• Track and manage follow-up SLAs / status update cadence, ensuring customers receive timely updates, next steps, and realistic ETAs.
• Partner with Support Engineers to convert technical investigation into clear customer-facing updates (status, what’s been tried, what’s next, when we’ll update next).
• Maintain accurate case hygiene (severity, business impact, owner, next update due, blockers, links to Jira work).
• Monitor customer sentiment and satisfaction signals and flag risks early (stalled investigations, repeat issues, frequent reopenings).

Escalation support & stakeholder management

• Assist in prioritizing and triaging escalated cases based on severity, impact, and urgency; ensure the right resources are engaged.
• Serve as a customer-facing coordinator for critical or complex cases, ensuring communication is timely and consistent.
• Collaborate with cross-functional teams (Engineering, Product, Customer Success) to unblock progress and drive toward resolution within established timelines.
• Track progress on escalations and ensure action items are clear, owned, and timeboxed; escalate to Support leadership when SLAs are at risk.
• Identify trends in escalations (recurring failure modes, process gaps) and contribute recommendations for improvements (templates, checklists, routing rules).
• Support post-incident follow-ups by documenting key learnings, ensuring customer confirmation, and helping drive completion of follow-up actions

Coverage / flexibility

• Participate in a weekend rotation (as needed) to support Premium customers and critical issues, ensuring timely communication and coordination during off-hours.

Skills We’re Looking For

• 4 years of experience in customer support operations, technical account coordination, customer success, or support program management (or equivalent).
• Strong written and verbal communication: ability to deliver crisp updates to customers and internal stakeholders, including executives when needed.
• Strong organizational skills and follow-through; able to manage multiple accounts/issues simultaneously.
• Comfort working cross-functionally and navigating ambiguity to drive next steps.
• Technical aptitude and ability to learn complex systems quickly (SaaS, cloud, data integration preferred).
• Solid judgment: knows when to escalate, how to set expectations, and how to balance urgency with accuracy.
• Flexibility to support occasional after-hours needs, including participation in a weekend/on-call rotation for Premium customers and high-severity incidents.
• Calm under pressure, customer-empathetic, and team-oriented.
• Comfortable using AI-powered tools responsibly 

Bonus Skills

• Experience with Zendesk, SupportLogic, Jira, Looker, or similar tooling.
• Familiarity with cloud platforms (AWS/GCP/Azure), data warehouses, ELT/ETL, APIs, or SaaS support environments.
• Experience supporting enterprise customers, executive-facing comms, or participating in QBRs.
• Interest in support analytics (SLA compliance, escalation rate, CSAT) and operational improvement work.
• #1Team1Dream mentality- collaborative, proactive, accountable and customer-focused.

#LI-REMOTE

#LI-DB1

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

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

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

Primary Responsibilities

1. Team Leadership & Development

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

1. Project Management & Coordination

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

1. Data Quality & Integrity

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

1. Technical Collaboration & Innovation

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

1. Customer & Domain Engagement

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

Required Skills & Qualifications

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

Preferred Skills & Qualifications

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

Realize your potential by joining the leading performance-driven advertising company!

We are reimagining how HR operations work at Taboola, and we are looking for a curious, hands-on Business Analyst to help us get there. As an HR Business Process Analyst on the People Analytics team in our Gurgaon office, you will be at the core of our HR Shared Service Center (SSC) transformation: mapping and improving processes, deploying AI to reduce manual work, and helping the SSC evolve from a back-office transaction hub into a strategic, business-facing function. This is a great opportunity for someone early in their career who is excited about applying AI to real business problems and energized by the work of making things run better.

To thrive in this role, you'll need:

• 3 to 5 years of professional experience in business analysis, operations, process improvement, HR operations, or a similar function.
• Hands-on experience using Generative AI tools (ChatGPT, Gemini, Claude, Copilot, or similar) to solve business and operational problems.
• A track record of mapping, documenting, or improving business processes.
• A strong analytical mindset and comfort working with data in Excel or Google Sheets.
• Strong written and spoken communication skills in English, with the ability to translate operational needs into structured requirements.
• Familiarity with HR systems, processes, or service delivery models.

Bonus points if you have:

• Experience working with or inside a Shared Service Center.
• Hands-on experience with SAP SuccessFactors or another HRIS.
• Familiarity with workflow automation tools (Zapier, Make, n8n, Power Automate).
• Familiarity with data visualization tools (Tableau, Power BI, Looker).
• Basic SQL.
• Project management experience or certification.

How you'll make an impact:

• Support the transformation of the HR Shared Service Center by inventorying and documenting processes, identifying risks and gaps, and helping shape the operating model that lets the SSC scale.
• Identify high-volume, repeatable work where AI and automation can reduce manual effort, then help design, pilot, and deploy those solutions.
• Contribute to the rollout of AI-powered self-service tools for employees and managers, including knowledge bases and conversational agents.
• Help define and monitor SSC service KPIs, SLAs, and HR data quality metrics.
• Partner with HRBPs, IT, and global HR teams to understand pain points and turn them into concrete operational improvements.
• Run targeted analyses and build simple dashboards that surface what is working and what is not.
• Support the evolution of the SSC from back-office processing toward business-facing services that directly serve managers and leaders.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart and talented colleagues. They’ll also share more about:

• Well-being: Enjoy comprehensive benefits, including health coverage, fully stocked kitchen.
  
  
• Flexibility: We offer a hybrid work schedule – 3 days in the office with the option to come in more if you’d like.
  
  
• Work with the best: Partner with global brands like Yahoo, NBCU, Conde Nast, and Wells Fargo.
  
  
• Unmatched culture: As our CEO Adam Singolda says: “You can copy anything from another business but you can’t copy a company’s culture.”
  
  

Ready to realize your potential?

Taboola is an equal opportunity employer and values diversity in all its forms. We are committed to creating an inclusive environment for all employees and believe this is critical for success. Employment decisions are based on qualifications, merit, and business needs.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X (Twitter), YouTube, and the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-ST1

#LI-Hybrid

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

About the Role

As an Analyst, Digital Marketing, you will manage and optimize Google Ads campaigns, analyze performance data, and collaborate with cross-functional teams to drive better ROAS/CPA while maintaining robust tracking and reporting practices.

What You’ll Do

• Build and optimize Google Ads campaigns, including structure, keyword research, targeting, and ad creatives.
• Conduct experiments, analyze segmented performance data, and drive improvements in CTR, conversion rate, ROAS, and CPA.
• Monitor daily metrics, identify anomalies, and address performance or tracking issues proactively.
• Use Excel and SQL to analyze large datasets and support bid/budget optimization decisions.
• Collaborate with Analytics, Product, Engineering, and market teams while ensuring strong tracking, tagging, and measurement hygiene (UTMs, GA4, conversion tracking).

What We’re Looking For 

• 5–8 years of experience in performance/search marketing, including 3+ years managing Google Ads campaigns end-to-end.
• Strong knowledge of Google Ads fundamentals, bidding strategies, auction dynamics, quality score, and search query analysis.
• Data-driven mindset with the ability to define KPIs, analyze trends, and make evidence-based recommendations.
• Advanced Excel/Sheets skills and working knowledge of SQL for handling large datasets.
• Familiarity with GA/GA4, conversion tracking, and attribution basics.
• Clear communicator, comfortable sharing insights with cross-functional teams.
• Flexible to attend planned evening IST meetings to overlap with US teams.
• Leverages AI for creatives, keyword clustering, anomaly detection, real-time insights, and automated reporting to enhance strategy and efficiency.

Good to have

• Google Ads Search certified or equivalent practical experience.
• Exposure to Microsoft Ads, Display/YouTube, or other paid channels.
• Experience with dashboarding tools (Looker Studio, Power BI, Tableau) and/or basic scripting (Python).
• Familiar with A/B testing, experimentation frameworks, and statistical fundamentals.
• Comfortable using LLM/prompting tools to enhance analysis and reporting productivity (as per policy).

Staff Analytics Engineer

Location: Hyderabad | Department: Technology, Data

About the Role

Are you passionate about turning raw data into actionable insights and enabling data-driven decision-making? As an Analytics Engineer, you will play a critical role in shaping our data ecosystem and ensuring that our teams have access to accurate, well-structured, and timely insights.

You’ll collaborate closely with different business functions to design and implement scalable data models, track key performance metrics, and optimize data workflows. Your work will directly impact how we measure product success, marketing effectiveness, and customer engagement.

What You'll Do

Collaboration & Enablement

• Act as the Technical Lead for the team, taking ownership of our engineering standards and driving the rigorous application of best practices in data and semantic modeling.
• Partner with cross-functional teams to democratize data access and improve self-serve analytics capabilities.
• Partner with cross-functional teams to gather requirements and implement reporting/dashboards which allow those teams to improve performance
• Create and maintain clear documentation for data models, metrics, and best practices.

Data Engineering & Pipeline Optimization

• Use dbt (Data Build Tool) to build, test, and optimize scalable data models.
• Implement semantic models within our Business Intelligence platform
• Implement reports/dashboards in our Business Intelligence platform which leverage our semantic model
• Work with cloud data warehouses (BigQuery, Snowflake, or Redshift) to ensure efficient data transformation and storage.
• Implement automated data quality checks to maintain integrity and reliability across datasets.

What You’ll Need

Technical Skills & Experience

• 7+ years of experience in analytics engineering
• Strong SQL skills and experience working with data warehouses (BigQuery, Snowflake, or Redshift).
• Strong reporting/dashboarding skills leveraging a modern Business Intelligence platform with a Semantic Layer (Omni, Looker, Lightdash)
• Hands-on experience with dbt for data modelling and transformation.

Soft Skills & Collaboration

• Ability to work cross-functionally with different stakeholders.
• Excellent problem-solving skills and a structured approach to data challenges.
• Strong written and verbal communication skills to translate complex data concepts for non-technical stakeholders.
• Self-motivated and eager to optimize and automate data processes wherever possible.

Why Join Us?

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Remote India

Hello👋I am Ashish, Product Operations Lead at Kayzen, and I am now looking for a Product Analyst  to join our team 🙌

But wait, you have not heard of Kayzen before?😃
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options.
Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The team

The Product Analytics team sits at the intersection of data, product, business and engineering. We are a highly motivated group aligned in our quest to disrupt the multi-billion dollar ad-tech industry. You will collaborate with a carefully selected, diverse, and globally distributed team spanning customer success, engineering, data science, design, product and more.

Why This Role

As our Product Analyst, you will own the analytical layer that keeps our product honest and fast. You will pair deep product intuition with strong SQL skills and AI-accelerated workflows to diagnose issues, surface insights, and move faster than a traditional analyst role. This is not just about building dashboards — you will shape how we understand our product, automate recurring investigation work with LLM tools, and directly influence product and engineering decisions with data. If you love going deep on complex systems, debugging hard problems, and turning ambiguous data into clear action, this is your seat.

What You'll Do

Data Analysis & Insights

• Apply a broad range of analytical techniques to derive actionable insights from rich product and event data
• Work closely with the product team as a data-driven advisor and partner on strategic decisions and roadmap prioritisation
• Conduct deep-dive analyses on product performance, user behaviour, and funnel metrics to identify improvement opportunities
• Translate complex data findings into clear, concise narratives for technical and non-technical stakeholders

Product Support & Debugging

• Serve as the go-to person to analyse, debug, and resolve product issues in collaboration with engineering, Product and Business
• Go deep into complex customer-facing issues, identify root causes in data, and drive resolution with product and engineering teams
• Become a product and domain expert in RTB (Real-Time Bidding) and the broader programmatic advertising ecosystem

Automation & AI-Powered Workflows

• Leverage LLMs (GPT/Claude and similar tools) to automate recurring analyses, anomaly triage, data briefs, and BI request resolution — this is a mandatory part of how we work
• Build and maintain tools, scripts, and automated pipelines that reduce manual investigation effort and speed up response times
• Manage and resolve Business Intelligence requests; develop reusable tools to automate high-frequency reporting needs
• Contribute to internal dashboards and analytical tooling that accelerate decision-making across teams

Cross-Functional Collaboration

• Partner with engineering, data, customer success, and product teams on data-related initiatives and ad-hoc investigations
• Provide ideas and quantified feedback for product and process improvement
• Champion data quality, accuracy, and a culture of evidence-based decision-making across the organisation

Requirements

• 2+ years of AdTech industry experience in a data, analytics, or product analyst role
• Excellent SQL skills: comfortable writing complex queries including joins, CTEs, window functions, and aggregations against large datasets
• Hands-on experience with BI and data exploration tools (e.g. Redash, Looker, Metabase, or similar)
• Active user of AI tools (GPT, Claude, or similar) for analytical automation, data summarisation, and workflow acceleration. 
• Strong analytical and troubleshooting skills with a structured, hypothesis-driven approach to problem-solving
• High attention to detail and commitment to data accuracy and quality of output
• Ability to work collaboratively in a cross-functional, globally distributed team environment
• Self-starter mindset with goal-driven focus and resilience in a high-pressure, deadline-driven environment
• Passion for building great products and creating excellent experiences for customers

Nice to Have

• Python / pandas for ad-hoc analyses and light automation — not required, but a strong differentiator
• Familiarity with mobile attribution and measurement (AppsFlyer, Adjust, Singular)
• Familiarity with HTML/Rich media creatives

What do we offer?

• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• Direct, day-to-day work experience with the management
• A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries
• A flexible work-from-home arrangement
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget

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 of Role

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

Responsibilities

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

Qualifications

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

The Role:

We are seeking a Looker Data Engineer for a project-based assignment to support a key client initiative. This role will focus on building and optimizing data models, developing scalable reporting solutions, and enabling data-driven decision-making through Looker and modern data stack technologies. The ideal candidate will have strong hands-on experience with Looker development, data modeling, and programmatic reporting, along with a solid foundation in SQL and cloud data platforms.

Key Responsibilities:

• Develop and maintain Looker data models, including LookML, models, and explores
• Build and optimize scalable, consumable data models to support business intelligence and strategic decision-making
• Utilize Looker API 4.0 to enable programmatic access to dashboards, looks, and explores
• Automate report generation and delivery using Looker API endpoints
• Write and optimize complex SQL queries to improve performance and efficiency
• Work with Snowflake, dbt, and Python to support data transformation and pipeline development
• Collaborate with stakeholders to translate data requirements into scalable BI solutions
• Ensure data accuracy, consistency, and performance across reporting layers

Required Skills:

• 4+ years Looker development experience (LookML, models, explores)
• Experience working with Looker API 4.0 for programmatic access
• Experience automating reporting using Looker API endpoints
• Ability to transform complex data into scalable, consumable data models
• Hands-on experience with Snowflake, dbt, and Python
• SQL experience with query optimization

Nice to Have:

• Looker administration experience
• Experience working with BigQuery
• Experience with modern data pipelines and ELT workflows
• Familiarity with data governance, data quality, or BI best practices
• Experience working in a client-facing or consulting environment

Employment Type:

ABOUT THE TEAM:

ABOUT THE ROLE:

WHAT WE ARE LOOKING FOR:

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING:

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. 

ABOUT THE TEAM:

ABOUT THE ROLE:

WHAT WE ARE LOOKING FOR:

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING:

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. 

ABOUT THE TEAM:

ABOUT THE ROLE:

WHAT WE ARE LOOKING FOR:

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING:

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.