Data Analyst

SuperMoney is seeking a talented Data Analyst to join our Lending team in Bengaluru. This permanent role offers competitive compensation and is ideal for an individual with 1-4 years of experience. You will be instrumental in analyzing credit funnels from application to disbursal, developing robust scorecards and frameworks (including CIBIL, thick/thin file analysis, bureau/behavioral data, and ATS cohorts), and forecasting key metrics like Gross Merchandise Volume (GMV), approvals, conversion rates, and costs using advanced SQL and Python skills. Your responsibilities will also include providing lender-wise performance insights and optimizing pricing and ROI. You will collaborate closely with product, growth, lender operations, and engineering teams to drive data-informed strategies.

The ideal candidate will possess a strong understanding of personal loans and Buy Now Pay Later (BNPL) products, either in a D2C or app marketplace setting. Familiarity with credit policy and bureau logic is essential. You must have excellent proficiency in SQL, Python, and dashboarding tools, with a preference for Tableau. Experience with statistical modeling and machine learning techniques such as logistic regression, scorecard development, and XGBoost is required. Prior analytical experience within lending, fintech, NBFCs, or banks is highly valued. A comfort with big data, a proven ability to solve business problems, and a strong ownership mindset are key to success in this role.