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Tier-1 fintech, mid-level product analytics role in a metro, popular skillset increases applicant competition.
Core product analytics skills transferable, but lending credit lifecycle knowledge adds industry specificity.
Explicit 3–6 years and mandatory SQL raise filter strictness; lending experience is preferred, not mandatory.
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Own end-to-end funnel analytics for lending products including acquisition and servicing, driving data-backed decision-making to improve revenue and customer experience.
Manage product operations such as release monitoring, experiment rollouts, and post-release performance tracking to enhance execution velocity and support product managers.
Build dashboards, conduct cohort analysis, design and evaluate A/B tests, and create data-driven decision frameworks for feature prioritization in the lending domain.
3 to 6 years of experience in Product Analytics, preferably with lending domain knowledge.
Strong SQL proficiency (mandatory).
Strong understanding of credit lifecycle and lending unit economics.
Experience building dashboards; knowledge of Python/R for modeling preferred but not mandatory.
Experienced in fast-paced B2C fintech environments, particularly digital lending product analytics.
Comfortable operating at the intersection of analytics, product management, technology, and product operations with high ownership and execution bias.
Skilled in analyzing funnel metrics such as conversion rates, disbursal growth, and pricing experimentation with an impact focus on revenue and customer experience.