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

About this job

Paytm, a prominent mobile payments and financial services distribution company in India, is hiring an Analytics Lead for User Growth in Noida. Paytm focuses on building technologies that assist small businesses with payments and commerce, with the mission of bringing half a billion Indians into the mainstream economy. In this full-time role, you will work closely with product, marketing, growth, and business teams to drive data-led growth across the user acquisition, retention, churn, revenue, and GMV lifecycle. A normal day in this position involves performing deep-dive analytics, building cohort and retention frameworks, measuring campaign efficacy, designing predictive models, and tracking key business metrics. You will analyze behavioural trends, diagnose churn drivers, reconcile promotional spend against incremental GMV, and translate complex data into clear, actionable narratives for senior leadership to help shape business decisions and support planning cycles.

Responsibilities

• Drive data-led growth across user acquisition, retention, churn, revenue, and GMV lifecycles.
• Build and maintain cohort, retention, and funnel frameworks across various user segments.
• Measure campaign efficacy, reconcile promotional burn against incremental GMV, and run A/B tests.
• Develop forecasting models, performance dashboards, and track metrics against the Annual Operating Plan.
• Diagnose churn and cancellation drivers to recommend structural fixes.
• Partner with product, marketing, and business teams to convert insights into measurable outcomes.

Requirements

• 8-10 years of experience in growth analytics, business analytics, or data science.
• Advanced SQL skills including complex joins, window functions, and query optimization.
• Proficiency in Python including pandas, numpy, and statistical testing.
• Expertise in advanced Excel, dimensional data modelling, and data visualization tools like Tableau or Power BI.
• Hands-on experience with product and web analytics tools such as Google Analytics, Mixpanel, or Amplitude.
• Strong command over cohort analysis, LTV modelling, attribution methodologies, and experiment design.
• Bachelor's degree in Engineering, Statistics, Mathematics, Economics, or a related quantitative field.

Good to have

• Exposure to wealth, investments, savings, or commodity-linked products.
• Experience with SIP and recurring-payment analytics including autopay behavior.
• Familiarity with pricing, margin, and unit-economics analysis.
• Experience mentoring junior analysts.

Who should apply

This role is ideal for experienced analytics professionals with 8 to 10 years of background in consumer internet, fintech, e-commerce, or financial services. It suits individuals who have demonstrated ownership of a product vertical or growth charter and possess advanced technical skills in SQL, Python, and data modelling. Candidates should be comfortable communicating with senior leadership and using a diagnostic mindset to solve complex business challenges.

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