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Remote role · analytic

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

Paytm

onsite,Noida, Uttar PradeshDataFull-time
Before you apply

Role details

The practical picture
Employment
Full-time

Work & location

Remote scope
Onsite in Noida, Uttar Pradesh

Inside the role

Qualifications
8-10 years of experience in business analytics, growth analytics or data science Advanced SQL skills including complex joins, window functions, and CTEs Python proficiency with pandas, numpy, and statistical testing Advanced Excel skills including pivots, formulas, and macros Data modeling knowledge including dimensional modeling and star/snowflake schemas Experience with data visualization tools such as Tableau, Power BI, or Superset
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

Paytm is seeking an Analytics Lead with 8-10 years of experience in business or growth analytics to drive data-led growth strategies. The role involves owning deep-dive analytics for user acquisition, retention, and revenue growth while building dashboards and forecasting models to support the Annual Operating Plan.

Remote scope
Onsite in Noida, Uttar Pradesh

What you need

  • 8-10 years of experience in business analytics, growth analytics or data science
  • Advanced SQL skills including complex joins, window functions, and CTEs
  • Python proficiency with pandas, numpy, and statistical testing
  • Advanced Excel skills including pivots, formulas, and macros
  • Data modeling knowledge including dimensional modeling and star/snowflake schemas
  • Experience with data visualization tools such as Tableau, Power BI, or Superset

What you will own

  • 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.
  • Analyze cohorts, journeys, segments, and behavioral trends to improve customer lifetime value and repeat transactions.
  • Build and track key business metrics, dashboards, performance frameworks, and analytical models to monitor growth against the Annual Operating Plan.
  • Measure and optimize campaign efficacy by identifying the right segments, propositions, channels, and levers to maximize incremental GMV and revenue.
  • Partner with Product, Marketing, Growth, and Business teams to convert insights into measurable outcomes.
Core skills
SQLPythonData VisualizationGrowth AnalyticsCohort AnalysisA/B TestingTableauPower BI
Internal freshness window ends Oct 21, 2026
View source evidence
  • must_have “8-10 years of experience in business analytics, growth analytics or data science — preferably in consumer internet, fintech, e-commerce or financial services.”
  • must_have “SQL — advanced: complex joins, window functions, CTEs and query optimization on large distributed datasets (Trino/Presto/Hive/Redshift/BigQuery).”
  • must_have “Python — pandas, numpy, statistical testing and automation; modelling libraries a plus.”
  • must_have “Data Visualization — Tableau, Power BI, Superset or equivalent; dashboards that get used, not just built.”
  • must_have “Bachelor’s in Engineering, Statistics, Mathematics, Economics or a related quantitative discipline. MBA or Master’s in a quantitative field preferred.”
  • remote_scope “Job location: onsite,Noida, Uttar Pradesh”
sqlpythondata visualizationgrowth analytics
Role brief
About PaytmPaytm 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 RESPONSIBILITIESBusiness 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.
REQUIREMENTSExperience- 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. 
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!