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Generalist Data Analyst title attracts candidates, but niche collections domain and non-metro location reduce density.
Role's collections and lending metric expertise makes background fit sensitive to NBFC/fintech experience.
Explicit 1–4 years plus mandatory Excel/SQL and collections metrics raises shortlisting strictness.
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Analyze collection performance metrics such as delinquency trends, recovery rates, roll rates, and portfolio health to generate actionable insights.
Prepare dashboards and MIS reports for leadership and track performance of collection agencies and field executives.
Support collection strategy by identifying default trends, customer segmentation based on risk, and process optimization with tech/product teams for report automation.
Bachelor’s degree in Statistics, Mathematics, Economics, Finance, or related field (MBA/PG in Analytics or Finance preferred).
1–4 years of experience in data analysis, preferably in collections, NBFC, fintech, or lending domain.
Strong proficiency in advanced Excel functions including pivot tables and dashboards; working knowledge of SQL.
Understanding of collection metrics (DPD, PAR, NPA, roll rates).
Experience in lending domain analytics, especially collections or asset-based lending such as NBFC or fintech.
Comfortable working cross-functionally with field teams, finance, and product/tech teams to influence collection and recovery strategies.
Demonstrated ability to translate data into actionable collection strategies and improve recovery rates through structured analysis and process improvements.