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Day 49
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Analytics Lead- User Growth I Exp- 8- 10 Years
Noida, Uttar Pradesh
Live, first seen by us 49 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time Employment
Employment type in the employer’s posting: Full-time Employment
From the employer’s posting
What you’ll work on
Full postingRun cohort, funnel and retention analysis to diagnose churn and find growth levers
Measure campaign ROI and incremental GMV, including A/B and control-group tests
Build and own dashboards, metric definitions and forecasting models for GMV and revenue
Prepare analytical narratives for MBRs and senior leadership business reviews
From the employer’s posting
Diagnose churn and cancellation drivers and recommend structural fixes, not surface-level corrections.
Analyse A/B tests and control-group experiments to isolate true incrementality.
Develop forecasting and scenario models for GMV, revenue and user base to support planning cycles.
Own analytical inputs for MBRs and business reviews — with a clear storyline, not just charts.
What you’ll bring
All qualificationsCore experience
- 8-10 years of experience in business analytics, growth analytics or data science — preferably in consumer internet, fintech, e-commerce or financial services.
- SQL — advanced: complex joins, window functions, CTEs and query optimization on large distributed datasets (Trino/Presto/Hive/Redshift/BigQuery).
- Excellent communication; able to defend a recommendation with evidence in front of senior leadership.
- Bachelor’s in Engineering, Statistics, Mathematics, Economics or a related quantitative discipline.
- Experience with SIP / recurring-payment analytics, including mandate and autopay behaviour.
- Ownership — treats the business target as their own.
Preferred experience
- Python — pandas, numpy, statistical testing and automation; modelling libraries a plus.
Qualification wording
8-10 years of experience in business analytics, growth analytics or data science — preferably in consumer internet, fintech, e-commerce or financial services.
SQL — advanced: complex joins, window functions, CTEs and query optimization on large distributed datasets (Trino/Presto/Hive/Redshift/BigQuery).
Excellent communication; able to defend a recommendation with evidence in front of senior leadership.
Bachelor’s in Engineering, Statistics, Mathematics, Economics or a related quantitative discipline. MBA or Master’s in a quantitative field preferred.
Experience with SIP / recurring-payment analytics, including mandate and autopay behaviour.
Ownership — treats the business target as their own.
Python — pandas, numpy, statistical testing and automation; modelling libraries a plus.
Education & alternatives
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
About Paytm
Paytm is India's leading mobile payments and financial services distribution company.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 16, 202649 days ago
- Recorded sightings
- 118
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Paytm is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Analyst hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Excel
- Hive
- Power BI
- Redshift
- Superset
- Tableau
- Trino
- NumPy
- pandas
Where the posting names them
- 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
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.
- 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 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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About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
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-
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.
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!
Employment type
Full-time Employment
Source details
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- Location & working pattern
Noida, Uttar Pradesh
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