Analytics Lead- User Growth I Exp- 8- 10 Years

Role overview

Analytics Lead- User Growth I Exp- 8- 10 Years at Paytm

Employment details

• Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it.
• India’s largest digital lending story is brewing here.
• It’s your opportunity to be a part of the story!
• Location: Noida [Uttar Pradesh]

About the employer

• 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 Role- KEY RESPONSIBILITIES Business Insights & Growth - Drive data-led growth across the acquisition, retention, churn, revenue and GMV lifecycle. - Own deep-dive analytics to identify key drivers and opportunities for acquisition, engagement, retention and churn reduction. - Drive Revenue and GMV growth in line with the Annual Operating Plan (AOP) through actionable insights and growth recommendations.
• Customer & Lifecycle Analytics - Analyse cohorts, journeys, segments and behavioural trends to improve customer lifetime value and repeat transactions. - Build cohort and retention frameworks (D0/D7/D30, monthly triangles) across new, reactivated and repeat users. - Diagnose churn and cancellation drivers and recommend structural fixes, not surface-level corrections.
• Campaign Efficacy & Attribution - Measure and optimize campaign efficacy - identifying the right segments, propositions, channels and levers to maximize incremental GMV and revenue. - Conduct funnel, cohort, campaign and attribution analysis to identify performance gaps and recommend corrective actions. - Reconcile promotional burn against incremental GMV; establish ROI and cost-per-incremental-user benchmarks by campaign and segment. - Analyse A/B tests and control-group experiments to isolate true incrementality.
• Metrics, Dashboards & Models - Build and track key business metrics, dashboards, performance frameworks and analytical models to monitor growth against AOP. - Own metric definitions and data integrity; maintain a single source of truth across teams. - Develop forecasting and scenario models for GMV, revenue and user base to support planning cycles.
• Stakeholder Partnership - Partner closely with Product, Marketing, Growth, DWH and Business teams to convert insights into measurable outcomes. - Translate complex data into clear, actionable narratives for senior stakeholders and drive data-backed decision-making. - Own analytical inputs for MBRs and business reviews - with a clear storyline, not just charts.
• REQUIREMENTS Experience - 8-10 years of experience in business analytics, growth analytics or data science - preferably in consumer internet, fintech, e-commerce or financial services. - Demonstrated ownership of a product vertical or growth charter with measurable business impact. - Experience with large-scale transactional and behavioural datasets in a high-velocity consumer business.
• Technical Skills - SQL - advanced: complex joins, window functions, CTEs and query optimization on large distributed datasets (Trino/Presto/Hive/Redshift/BigQuery). - Python - pandas, numpy, statistical testing and automation; modelling libraries a plus. - Advanced Excel - pivots, complex formulas & macros - Data Modelling - dimensional modelling, star/snowflake schemas, event and funnel data structures, metric-layer design. - Data Visualization - Tableau, Power BI, Superset or equivalent; dashboards that get used, not just built. - Product & Web Analytics - Google Analytics, CleverTap, Mixpanel, Amplitude or Firebase for funnel and journey analysis.
• Analytical & Business Capabilities - Strong command of cohort analysis, funnel analysis, retention curves, LTV modelling, attribution methodologies and experiment design. - Comfort with significance testing, regression, segmentation and clustering techniques. - Commercial instinct - able to connect a metric movement to the underlying business mechanic and the money at stake. - Excellent communication; able to defend a recommendation with evidence in front of senior leadership.
• Education - Bachelor’s in Engineering, Statistics, Mathematics, Economics or a related quantitative discipline.
• MBA or Master’s in a quantitative field preferred.
• GOOD TO HAVE - Exposure to wealth, investments, savings or commodity-linked products. - Experience with SIP / recurring-payment analytics, including mandate and autopay behaviour. - Familiarity with pricing, margin and unit-economics analysis. - Experience mentoring junior analysts.
• CORE COMPETENCIES - Diagnostic mindset - pushes past the symptom to the root cause. - Rigour - validates counts and stress-tests assumptions before publishing. - Ownership - treats the business target as their own. - Clarity - reduces complexity to a decision, not a data dump. - Constructive dissent - challenges assumptions and targets with data, early.
• Why join us: Work with a high-performing and passionate product, design, and engineering team.
• Shape the future of credit for millions of users.
• Build at scale in one of India’s most dynamic and regulated spaces.
• Flexible and inclusive work environment with fast decision-making and ownership.