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Tier-1 fintech brand, metro role, and broad analytics skillset increase candidate competition.
Requires consumer-internet/fintech growth analytics experience, so domain-specific expertise is moderately important.
Explicit 8-10 years plus mandatory SQL, Python, and data-modeling requirements make shortlisting highly stringent.
Drive data-led growth across user acquisition, retention, churn reduction, revenue, and GMV lifecycle in line with the Annual Operating Plan (AOP).
Own deep-dive analytics, cohort and lifecycle frameworks to identify drivers and opportunities, diagnose churn causes, and recommend structural fixes.
Build and maintain key business metrics, dashboards, forecasting models, and deliver actionable insights to senior stakeholders for decision-making and business reviews.
8-10 years experience in business analytics, growth analytics, or data science, preferably in consumer internet, fintech, e-commerce, or financial services.
Advanced SQL skills (complex joins, window functions, CTEs, query optimization) on large distributed datasets.
Proficiency in Python (pandas, numpy, statistical testing), advanced Excel, data visualization tools (Tableau, PowerBI, Superset or equivalent).
Bachelor’s degree in Engineering, Statistics, Mathematics, Economics or related quantitative discipline; MBA or Master’s in quantitative field preferred.
Experienced leader with demonstrated ownership of a product vertical or growth charter driving measurable business impact.
Strong expertise in cohort analysis, funnel analysis, LTV modelling, attribution, and experiment design within high-velocity consumer businesses.
Ability to translate complex data into clear, actionable narratives for senior leadership, combining commercial instinct with diagnostic rigor and accountability.