Analytical Quality Assurance Director Jobs

Paytm Money is building the next generation of wealth management and investment products for India. As a Growth, Process & Data Specialist at the, you will sit at the intersection of analytics, CRM, and growth strategy - owning the data infrastructure and intelligence layer that powers our user acquisition, engagement, and retention campaigns. This is a high-ownership, cross-functional role where you will independently drive cohort analytics, campaign attribution, CLTV modelling, and business review reporting, while acting as the primary bridge between the CRM and Data teams. Key Responsibilities - Own end-to-end campaign operations: campaign intake, requirement understanding, audience setup, communication configuration, QA, launch, monitoring and post-campaign closure • Translate growth / CRM briefs into clear execution plans covering audience, eligibility, triggers, journeys, channel, frequency, dependencies, timelines and success metrics • Manage campaign execution across CRM channels such as Push, WhatsApp, SMS, Email and in-app, using platforms such as CleverTap / Seller Panel or equivalent • Partner with Data / Analytics teams to define cohorts, segments, event logic and data requirements; ensure audience accuracy and campaign eligibility before launch • Establish rigorous campaign QA and governance covering copy, links, variables, deep links, targeting, suppression rules, frequency caps, scheduling and tracking • Own campaign calendars and operating rhythms, prioritising multiple campaigns and ensuring timely delivery with minimal execution errors • Monitor live campaigns, identify delivery / targeting / performance issues, coordinate resolution and maintain campaign health dashboards / trackers • Drive campaign measurement and post-campaign reporting, including delivery, engagement, conversion, incremental impact and key learnings; feed insights back into future campaigns • Coordinate closely with Growth, Product, Analytics, Design, Content, Tech and Compl

About the Role We are looking for a detail-oriented and enthusiastic HR Payroll Intern to support our HR team in payroll operations and employee-related processes. This internship will provide hands-on exposure to payroll management, HR operations, employee data, and HR systems. Duration - 6 Months Key Responsibilities ● Assist in the monthly payroll processing and related HR activities. ● Maintain and update employee records and payroll data. ● Support attendance, leave, and other payroll-related inputs. ● Assist in preparing and validating payroll reports and MIS. ● Coordinate with relevant teams to resolve payroll and employee data discrepancies. ● Support documentation and other HR Operations activities. ● Ensure accuracy and confidentiality of employee information. ● Assist the HR team with other payroll-related tasks as required. Requirements ● Pursuing BBA/MBA/PGDM in HR, Finance, or a related field. ● Strong attention to detail and numerical aptitude. ● Good working knowledge of MS Excel. ● Good communication and coordination skills. ● Ability to handle confidential employee information responsibly. ● Candidates who can commit to a 6-month internship are preferred. What You'll Gain ● Hands-on experience in Payroll & HR Operations. ● Exposure to real-world employee data and payroll processes. ● Opportunity to work in a professional corporate environment. ● Practical understanding of HR systems, processes, and reporting.

Job Title: ESOP Management Specialist – HR Operations Location: Noida Role Overview We are looking for a detail-oriented and process-driven ESOP Management Specialist to manage the end-to-end administration of the Employee Stock Ownership Plan (ESOP). The role will partner closely with HR, Finance, Legal, Payroll, and external stakeholders to ensure seamless execution of equity programs while maintaining compliance, accuracy, and a superior employee experience. Key Responsibilities • Manage the complete ESOP lifecycle, including grant creation, vesting schedules, exercises, lapses, cancellations, and exits. • Maintain accurate employee equity records and ensure timely updates in the ESOP management platform. • Coordinate with Finance, Legal, Payroll, and external trustees/vendors for smooth execution of ESOP-related transactions. • Prepare and validate grant letters, exercise documentation, employee communications, and regulatory reports. • Support onboarding and offboarding processes related to equity grants and settlements. • Ensure compliance with company policies, accounting standards, tax regulations, and applicable statutory requirements. • Address employee queries regarding grants, vesting, exercises, taxation, and policy interpretation. • Generate periodic MIS reports, dashboards, and analytics on ESOP utilization, vesting, exercises, and outstanding grants. • Conduct regular audits and reconciliations to ensure data accuracy and process compliance. • Identify opportunities to automate and improve ESOP administration processes. Required Qualifications • Bachelor's degree in Human Resources, Finance, Commerce, Business Administration, or a related discipline. • 3–7 years of experience in HR Operations, Equity Administration, ESOP Management, or Total Rewards. • Experience handling employee equity programs in a listed or high-growth organization is preferred. • Strong understanding of ESOP regulations, equity administration, taxation, and co

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for a high-agency Product Analyst to join the Lending product team at Paytm. This role sits at the intersection of analytics, product management, technology, and product operations. You will drive data-backed decision-making across lending funnels across acquisition and servicing, identify opportunities for impact, and take operational ownership of selected product workstreams to improve execution velocity and free up PM bandwidth. This is a high-impact role with direct influence on revenue and customer experience. Key Responsibilities Product Analytics & Insights Own end-to-end funnel analytics for lending products (financial securities). Build dashboards tracking key product metrics. Conduct cohort analysis across user segments and their performance. Design and evaluate A/B tests (pricing, UI flows, underwriting rules). Create decision frameworks for feature prioritization backed by data. Product Operations Own release monitoring and post-release performance tracking. Manage experiment rollouts and ensure clean measurement. Key Metrics Funnel conversion rates Servicing and experience Disbursal growth Time-to-disbursal Pricing & experimentation. Expectations • 3 to 6 years of experience in Product Analytics, preferably with a background in Lending. • Strong SQL proficiency (mandatory). • Experience with Python/R for modeling preferred. •Strong understanding of credit lifecycle and lending unit economics. • Experience building dashboards. • High ownership mindset and bias for execution. • Prior experience in a fast-paced B2C fintech environment (preferred). Why join u

About the Team The SevenRooms Data & Analytics team is the foundational data hub powering go-to-market, product, finance, and operational decisions across the In-Store business. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption. Within the team, our product-focused analytics work owns the funnels, personas, and feature-adoption insights that inform what products and features get built, how it's launched, and how it performs in the market. About the Role We're hiring a Data Analyst to be the data partner for our Product Management, Product Marketing, and executive teams at SevenRooms. You will own the building of data products, feature launch analytics, and the PLG instrumentation that connects product usage signals back into Salesforce, Gainsight, and our outbound motions. You will report into the Manager, Data & Analytics on our Data & Analytics team in our SevenRooms organization. You're excited about this opportunity because you will… Own product analytics end-to-end — funnels, adoption, retention, and ROI for every major feature launch on the SevenRooms platform. Build net new data products aimed at improving analytic and reporting capabilities Partner with Product Managers and Product Marketers on pre-launch hypotheses , beta testing results, post-launch measurement, and ongoing optimization. Design and ship PLG automations that translate product behavior into opportunity tagging, expansion signals, and CSM workflows. Apply GenAI and ML techniques — partnering with our GTM Engineer — to product analytics use cases like web-sourced feature adoption opportunities, transactions predictive modeling, and Add-On ICP scoring. Communicate closely in support of multiple PM’s with reporting and ad-hoc analysis We're excited about you because… A degree in Math, Phy

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart’s Marketing Data Science and Analytics team partners across Marketing, Strategic Finance, and Product to power data-driven growth. As a Senior Marketing Decision Scientist II, you will shape how we measure, forecast, and optimize marketing performance across channels, helping Instacart make smarter investment decisions and accelerate customer acquisition and retention. This is a high-impact, high-visibility role on a small, focused team where you will own complex, zero-to-one measurement initiatives and scale proven solutions. You will collaborate closely with channel marketers, growth leaders, finance partners, and data engineers to deliver models and experimentation frameworks that inform multi-million-dollar decisions. If you thrive in a fast-paced environment that still moves like a startup—and you love rolling up your sleeves to turn ambiguo

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart’s Marketing Data Science and Analytics team partners across Marketing, Strategic Finance, and Product to power data-driven growth. As a Senior Marketing Decision Scientist II, you will shape how we measure, forecast, and optimize marketing performance across channels, helping Instacart make smarter investment decisions and accelerate customer acquisition and retention. This is a high-impact, high-visibility role on a small, focused team where you will own complex, zero-to-one measurement initiatives and scale proven solutions. You will collaborate closely with channel marketers, growth leaders, finance partners, and data engineers to deliver models and experimentation frameworks that inform multi-million-dollar decisions. If you thrive in a fast-paced environment that still moves like a startup—and you love rolling up your sleeves to turn ambiguo

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns. About the Role We are looking for a Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance. Key Responsibilities: ● Build and maintain automated dashboards and BI reports for key product and revenue metrics. ● Write advanced SQL queries to analyze large datasets and generate actionable insights. ● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities. ● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact. ● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions. ● Translate business/product questions into structured analysis recommendations for stakeholders. Qualifications: ● B.E./B.Tech from a reputed engineering institute ● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. ● Strong SQL expertise for large-scale data analysis and reporting. ● E

About the Team Our Business Intelligence team exists at the intersection of data and strategy, partnering closely with every department to ensure information is accessible, accurate, and actionable. We build the data products, pipelines, and infrastructure that power decision-making across the organization — from surfacing new business insights to moving data between systems with precision and reliability. As part of the DoorDash family, we are deeply focused on integrating SevenRooms' data ecosystem into the broader organization, creating connections that compound in value over time. We are a collaborative, business-first team that believes great data infrastructure is foundational to every meaningful outcome the company achieves. About the Role In this role, you will sit at a strategic vertex within our technology organization, owning critical pieces of infrastructure that the entire business depends on. You will hit the ground running — establishing new API connections to external data sources, modeling and surfacing data to key stakeholders, and architecting automated AI flows that expand productivity across teams. A significant focus will be on GTM-aligned data initiatives, as well as building the underlying systems that enable AI capabilities within our database and business platforms. You will also play a vital integration role, marrying data between SevenRooms and DoorDash in ways that have yet to be fully realized, making this both a highly technical and highly strategic position. Within 6 to 12 months, you will be expected to have deep familiarity across our full data stack — including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, and NetSuite — independently driving initiatives across multiple departments and establishing governance standards that ensure pipeline accuracy and trust at scale. You will report into the Manager of Business Intelligence on our Data & Analytics Team under the Strategy & Operations - In-Store orga

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje About The Team You’ll join Prodigal’s Strategy & Operations team, the consulting arm of the company. We partner with creditors in consumer finance (Banks, NBFCs & BNPLs and debt collection agencies) to transform how they engage with consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of prod

About Us: Perpay is a certified B Corp and Philadelphia’s most impactful growth-stage startup. We are driven by a mission to significantly improve the financial stability of everyday Americans. For the past decade, we have established strong product-market fit and a profitable, efficient operating model across a suite of products, positioning Perpay as the premier financial partner for consumers with subprime credit. With over 500,000 customers who have utilized more than $1 billion in spending power, we are at a pivotal moment. We are scaling our operations, building new offerings, and deepening our impact. We are looking for teammates eager to join us on this journey. Our venture partners include First Round Capital and L Catterton. Products we’ve built to make an impact: Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior. Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus. Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. Our team thrives on in-person collaboration, operating from our unique center-city Philadelphia office. This comfortable "home away from home" space offers river views and fosters rapid product development, strong relationships, and career growth. The energy from achieving big wins is palpable here. While we primarily work in the office, we offer sensible flexibility for personal needs, such as sick children or urgent errands, and coordinate official remote weeks around major holidays. If you are passionate about a meaningful mission, collaboration, equity, and generous perks, Perpay is the best place to be in Philadelphia right now. About the Role: Perpay is seeking a driven Analyst to join our team as a key player in growing our impact on our customers’ financial futures. You

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi

About the Team The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term t

About the Team The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash. Please apply here for all non-managerial levels within the following analytics teams: Consumer & Growth Business Operations Dasher & Logistics Customer Experience & Integrity Merchant, Ads & Sales New Verticals International Data Science About the Role As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools Work with and mentor junior analysts on how to use more advanced methods and solve challenges Produce recommendations and use statistical techniques and hypothesis testing to validate your findings Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Report aga

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje About The Team: You’ll join Prodigal’s Strategy & Operations team, the consulting and services arm of the company. We partner with lenders (Banks, NBFCs & BNPLs etc.) and debt collection agencies to transform how they engage consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of product, dat