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

Skills this role screens for

About the role

About Paytm

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-

The work

KEY RESPONSIBILITIES

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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.

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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.

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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.

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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.

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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.

Who they want

REQUIREMENTS

Who they want

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.

Who they want

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.

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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.

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Education

• Bachelor’s in Engineering, Statistics, Mathematics, Economics or a re