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Tier-1 brand, metro location, mid-level analytics manager, and broad skillset drive high competition.
Skills transferable across industries, but preference for consumer internet/fintech domain experience yields medium sensitivity.
Explicit 6–8 years plus mandatory SQL/Python and product analytics makes filters highly strict.
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Own end-to-end analysis for Digital Gold & Silver business metrics including acquisition, retention, churn, revenue, and GMV.
Drive data-led growth strategies by identifying opportunities and recommending actionable insights to Marketing and Business teams.
Develop and maintain critical dashboards, forecasting models, and insights to support Annual Operating Plan (AOP) achievement and stakeholder decision-making.
6–8 years experience in business analytics, growth analytics, or data science within consumer internet, fintech, e-commerce, or financial services.
Advanced SQL skills including complex joins, window functions, and query optimization on large datasets (Trino/Presto/Hive/Redshift/BigQuery).
Proficient in Python (pandas, numpy, statistical testing) and advanced Excel (pivots, formulas, macros).
Bachelor's degree in Engineering, Statistics, Mathematics, Economics or related quantitative discipline; MBA or Master's in quantitative field preferred.
Experience owning product verticals or growth charters with measurable business impact in high-velocity consumer businesses.
Strong expertise in cohort analysis, funnel analysis, retention curves, LTV modelling, and attribution methodologies.
Ability to translate complex data into actionable business recommendations and communicate effectively to senior leadership.