Data Analyst, Collections & Lending Analytics (Delivery)
Gnani.ai (Gnani Innovations Private Limited) (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 6–12 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own and execute data segmentation, analysis, and dashboard reporting to improve collections and lending campaign efficiency for clients in banking and NBFC sectors.
- Design, test (via A/B testing), and recommend targeted calling and messaging strategies that drive measurable uplifts in connectivity, promise-to-pay rates, and collections month-over-month.
- Lead analytical client communication to explain performance insights, strategy proposals, and campaign impact with data-backed evidence supporting account growth.
Minimum Requirements
- 2-4 years experience in collections analytics, lending/risk analytics, campaign analytics, or equivalent in banks, NBFCs, fintech, collections agencies, or voice AI startups.
- Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Commerce, or related field.
- Advanced skills in Excel (XLOOKUP/VLOOKUP, pivot tables, Power Query), SQL (JOINs, GROUP BY, CTEs, window functions), Python (pandas) for data analysis and automation.
- Experience in dashboarding with Power BI and applied statistics (control groups, uplift measurement) for campaign analytics.
Ideal Candidate Profile
- Experienced in managing multiple collections or lending analytics accounts with a focus on operational data quality and consistent metric definitions.
- Comfortable working with large datasets from calls, payments, and CRM/LMS systems, automating analyses and building propensity models for prioritization.
- Skilled in translating complex data into business-relevant insights and tested strategies communicated effectively to client stakeholders in a financial or collections environment.