ApplySarthi

Data Analyst

Fampay

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9,538 open data roles across 958 companies are on ApplySarthi right now, most of them in Bengaluru (513), Hyderabad (338), Mumbai (162).

What data roles keep asking for: Python (38%), SQL (33%), AWS (30%), Machine learning (19%), Spark (15%), Databricks (14%), Azure (13%), Stakeholder management (13%) — counted across their open postings here.

Data Analyst jobs in Bengaluru · Data Analyst jobs in India · Remote Data Analyst jobs · BigQuery jobs · Excel jobs · Looker jobs · Python jobs

Fampay has 18 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Fampay.

Questions you are likely to be asked

  1. Why do you want to join Fampay?
  2. What is your experience with BigQuery? Tell me one thing you learned the hard way.
  3. Explain a join or a window function you have used, and why you needed it.
  4. How would you explain a surprising number to a manager who does not believe it?
  5. Tell me about an analysis that changed a decision. What did you find?

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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 :- At Fam, data plays a big role in how we build, improve and scale our products. We're looking for a Data Analyst who enjoys digging into data, asking the right questions and finding insights that others might miss. You'll work closely with Product, Engineering, Business and Finance teams, helping turn complex datasets into decisions that make a real impact. This is an opportunity to work on diverse problems, take ownership of your analysis, experiment with AI tools and help shape products used by millions of users. If you're curious, analytical and enjoy figuring things out, we'd love to have you on the team. Must-haves Bachelor's degree in Engineering, Economics, Statistics, Mathematics or another quantitative field. 3-5 years of experience in SQL skills with experience writing complex queries involving joins, CTEs and window functions. Ability to independently extract, clean, structure and analyse large datasets. Strong analytical and problem-solving skills with an eye for identifying trends and patterns. Ability to interpret data and translate findings into meaningful business and product insights. Understanding of key product and business metrics. Comfortable using AI tools to improve analytical workflows, write and optimise queries, automate repetitive tasks and explore new ways of solving problems. Strong communication skills and the ability to work with multiple stakeholders. A proactive approach with the ability to take ownership of problems and drive them to closure. Good-to-haves Experience working in fintech, consumer internet or high-growth startups. Familiarity with tools such as Metabase, Looker, Mixpanel or Amplitude. Working knowledge of Python and Excel. Exposure to A/B testing, cohort analysis and funnel analysis. Experience working with large-scale databases such as BigQuery, Redshift or ClickHouse. Experience experimenting with AI-powered analytics tools and workflows. Roles & Responsibilities Extract, analyse and interpret data to answer product and business-related questions. Work closely with Product Managers to evaluate product performance and identify improvement opportunities. Analyse user behaviour, funnels, cohorts and key business metrics. Build and maintain dashboards and reports to track important metrics. Identify trends, patterns and anomalies and proactively highlight areas that need attention. Support data-driven decision-making through actionable insights and recommendations. Collaborate with cross-functional teams to understand business problems and provide analytical support. Leverage AI tools to streamline analysis, automate workflows and improve efficiency. Work on ad-hoc analysis and projects across different teams as business needs evolve. 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.

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Listed on lever · posted 2026-11-06. ApplySarthi collects openings and links to application pages; the role is advertised by Fampay, not by us.