
Fampay
Data Analyst at Fampay
Fampay is hiring a Data Analyst in Bengaluru. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
On this page
1. Job details
Fampay
Data Analyst
Bengaluru
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from Fampay
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.
Strong 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.
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of Fampay’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Data Analyst interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
6. Questions and how to apply
How do I apply?
Use the apply button below. It opens Fampay’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. Fampay runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
Apply for Data Analyst at Fampay
Apply on the employer’s site →
To apply for this job please visit jobs.lever.co.