Data Analyst
About Fam (previously FamPay)
Fam is India’s first payments app for everyone above 11. FamApp helps make online and offline payments through UPI and FamCard. We are on a mission to raise a new, financially aware generation, and drive 250 million+ young users in India to kickstart their financial journey super early in their life.
We’re reimagining how the next generation experiences fintech-going beyond payments to build a lifestyle brand that blends money, identity, and everyday experiences into one seamless, intuitive journey.
Founded in 2019 by IIT Roorkee alumni, Fam is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital) India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors.
About the role :-
We're looking for a Data Analyst to join the team, where you'll be at the heart of the action: transaction success rates, settlement cycles, reconciliation, vendor performance - the stuff that actually keeps money moving smoothly for millions of users. Your SQL skills won't just power dashboards; they'll uncover the "why" behind the numbers and shape decisions that matter.
Must-haves :-
Bachelor's degree in a quantitative field (Engineering, Economics, Stats, Math, etc.).
Strong SQL skills - should be comfortable writing complex queries (joins, window functions, CTEs) on large transactional datasets.
Ability to independently pull, clean, and structure data without heavy hand-holding.
Comfortable working with payment/transaction data (. (success rates, failures, settlements, reconciliation).
Clear communicator who can turn raw numbers into simple, actionable insights.
Good-to-haves :-
Experience in fintech, payments, or banking-adjacent companies.
Familiarity with dashboarding tools (Metabase, Looker, Mixpanel).
Comfort with Python/Excel for ad-hoc analysis.
Understanding of payment gateways, UPI, settlement cycles, or reconciliation processes.
Exposure to large-scale databases (BigQuery, Redshift, ClickHouse, etc.)
Roles and Responsibilities :-
Write SQL queries to pull and analyze payments data (transactions, success/failure rates, settlements).
Monitor key payments metrics and flag anomalies or drop-offs proactively.
Build and maintain simple dashboards/reports for ongoing visibility.
Turn data into clear insights for the team - not just raw numbers.
Support ad-hoc data requests from Payments, Finance, and Product teams.
Why Join Us
Build a category-defining brand for the next generation in India.
Work directly with founders and leadership in a high-visibility role with ownership from day one.
Own partnerships that directly drive business growth and revenue.
Thrive in a fast-paced, high-ownership culture where builders make an impact.
Work in an AI-native environment with access to the best AI tools to move faster and build smarter.