Analytics Manager

About Times Internet:

At Times Internet, we build premium digital products that simplify and enhance the everyday lives of people. We are India's largest digital products company with a presence in a wide range of categories across news, entertainment,marketplaces, and transactions. Many of our products are market leaders & iconic brands in their own right. TOI, ET, Indiatimes , NBT, ET Money, TechGig , and Cricbuzz, among others, are products that bring you closer to your interests and aspirations. We are excited by new

possibilities and look forward to bringing new products, ideas, and technologies that help people make the most of every day. Build a career of purpose & passion with Times Internet.

Website :http://www.timesinternet.i

About Role

You're the data function for the lending vertical. Credit, Product, and Collections will all depend on you for visibility into what's actually happening with the portfolio and the funnel. If something's going wrong and nobody can see it, that's on you.

Responsibilitie

• Build the real-time funnel dashboard — application to KYC to approved to disbursed, with drop-off by stage and channel
• Build approval rate monitoring by CIBIL band, borrower segment, and acquisition source
• Build the cohort performance tracker — vintage curves, DPD roll rates, repayment behaviour by month of disbursement
• Own portfolio MIS — AUM, disbursals, collections, NPA rate, the numbers leadership looks at every week
• Track operational metrics: % applicants called, calls per agent, customer service resolution rates
• Support Credit on EWS trigger analysis — help catch early delinquency signals before they become NPA
• Be the data partner for Marketing on cohort identification and campaign targeting

Requirement

• 2–4 years of analytics experience in fintech, BFSI, or a data-heavy consumer business
• Strong SQL — not just SELECT, but complex joins, window functions, performance-aware queries
• Proficient with at least one BI tool (Metabase, Tableau, Superset, Looker)
• Understand lending funnel analytics, cohort analysis, and vintage curves — not just in theory
• Python or R for analysis and modelling support
• Can turn a data finding into a clear recommendation that a non-analyst will act on