01Key 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.
02Requirements
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 .
