Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 43.
At Fampay, jobs usually come down by about day 22.
From 13,615 similar postings that came down, and 5 of Fampay’s. Coming down is not always a hire.
Data Analyst
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Fulltime- Office
From the employer’s posting
What you’ll work on
Full postingAnalyse user behaviour, funnels, cohorts and key business metrics
Build and maintain dashboards and reports to track important metrics
Work with Product Managers to evaluate performance and find improvements
Spot trends, patterns and anomalies and flag areas needing attention
Turn analysis into actionable insights and recommendations for decisions
From the employer’s posting
Analyse user behaviour, funnels, cohorts and key business metrics.
Build and maintain dashboards and reports to track important metrics.
Work closely with Product Managers to evaluate product performance and identify improvement opportunities.
Identify trends, patterns and anomalies and proactively highlight areas that need attention.
Support data-driven decision-making through actionable insights and recommendations.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in engineering, economics, statistics, mathematics or another quantitative field
- Ability to independently extract, clean, structure and analyse large datasets
- Understanding of key product and business metrics
- Strong communication and ability to work with multiple stakeholders
Qualification wording
Bachelor's degree in Engineering, Economics, Statistics, Mathematics or another quantitative field.
Ability to independently extract, clean, structure and analyse large datasets.
Understanding of key product and business metrics.
Strong communication skills and the ability to work with multiple stakeholders.
Education & alternatives
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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
- Employer says posted
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Fampay is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- ClickHouse
- Excel
- Looker
- Metabase
- Redshift
Where the posting names them
- 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.
- 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.
- 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.
- 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.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Demand for Analyst roles
New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
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.
Perks That Go Beyond the Paycheck
• Relocation assistance to make your move seamless.
• Free office meals (lunch & dinner).
• Generous leave policy, including birthday leave, period leave, paternity and maternity support, and more.
• Salary advance and loan policies for any financial help.
• Quarterly rewards and recognition programs, and a referral program with great incentives.
• Access the latest gadgets and tools.
• Comprehensive health insurance for you and your family, mental health support.
• Tax benefits with options like food coupons, phone allowances, car/device leasing.
• Retirement perks like PF contribution, leave encashment and gratuity.
Here’s all the tea on FamApp ☕️
FamApp focuses on financial inclusion of the next generation by providing UPI & card payments to everyone above 11 years old. Our flagship Spending Account, FamX, seamlessly integrates UPI and card payments, enabling users to manage, save, and learn about their finances effortlessly.
Revolutionizing Payments and FinTech
FamApp has enabled 10 million+ users to make UPI and card payments across India, removing the inconvenience of carrying cash everywhere. Users get to customise their FamX card with doodles, which lets them add a personal touch to their payments.
Trusted by leading investors
We’re proud to be supported by renowned investors like Elevation Capital, Y-Combinator, Peak XV (formerly Sequoia Capital India), Venture Highway, Global Founder’s Capital, and esteemed angels Kunal Shah and Amrish Rao.
Join Our Dynamic Team
At Fam, our people-first approach is reflected in our generous leave policies, flexible work schedules, comprehensive health benefits, and free mental health sessions. We don’t mean to brag, but we promise you’ll be surrounded by some of the most fun, talented and passionate people in the startup space.
Want to see what makes life at Fam so awesome? Check out our shenanigans at @lifeatfam 😛
PS - We’re looking for someone with an AI-native mindset, who actively leverages AI in their day-to-day work, as we encourage and embed it across every level at Fam.
Employment type
Fulltime- Office
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.