Data Analyst

super.money; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

A growing fintech company in India seeks an experienced candidate to lead credit analysis and provide insights on lending performance. The role demands expertise in SQL and Python, with a strong grasp of personal loans and BNPL sectors. Ideal candidates will possess 1–4 years of experience, demonstrating ownership and problem-solving skills. You’ll work closely with product and engineering teams to forecast metrics and optimize returns.

Qualifications

• 1–4 years of experience in relevant industry.
• Strong analytical skills in lending or fintech sectors.
• Ability to work with big data and provide business solutions.

Responsibilities

• Lead credit funnel analysis across application, approval, and disbursal.
• Build scorecards and frameworks for lending performance.
• Forecast GMV, approval, conversion, and cost metrics.
• Provide lender-wise performance insights and pricing optimization.
• Collaborate with product, growth, and engineering teams.

Skills

Personal loans/BNPL experience

Prior experience in lending/fintech/NBFC/bank analytics

Comfort with big data

Business problem solving

Ownership mindset

Tools

SQL

Python

Job description

Experience: 1–4 years, industry competitive compensation

What you’ll lead / own:

• Credit funnel analysis across application → approval → disbursal journeys
• Building scorecards, frameworks (CIBIL, thick/thin files, bureau/behavioural, ATS cohorts etc.)
• Forecasting GMV, approval, conversion and cost metrics with strong SQL + Python
• Lender-wise performance insights + pricing/ROI optimisation
• Working closely with product, growth, lender ops & engineering

Must-have skills:

• Personal loans/BNPL experience (D2C/app marketplace)
• Prior experience in lending / fintech / NBFC / bank analytics
• Comfort with big data, business problem solving, ownership mindset