Business Analytics- Paytm Gold | Experience : 5-7 yrs

Role overview

Business Analytics- Paytm Gold | Experience : 5-7 yrs at Paytm

Required qualifications

• 5-7 years 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.
• Bachelor’s in Engineering, Statistics, Mathematics, Economics or a related quantitative discipline.

Required 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.

Preferred qualifications and skills

• MBA or Master’s in a quantitative field preferred.
• 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?
• A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Respect, that is earned, not demanded from your peers and manager

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 Digital Gold & Silver is one of the fastest-scaling propositions in the Wealth portfolio.
• As Senior Business Analyst, you will own the numbers end to end from acquisition through retention, churn, revenue and GMV.
• This is not a reporting role: you will frame problems independently, find root causes, size opportunities, and convert them into growth recommendations that Marketing and Business teams act on.
• 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.