Senior Product Analyst — super.money

Experience: 3–5 years, with relevant product analytics experience

About the role super.money is Flipkart's consumer fintech app, spanning UPI payments, credit and affordable commerce. We are hiring a Senior Product Analyst to be the analytical partner to our product teams: the person who tells us what users are doing, why a funnel is leaking, and whether what we shipped actually worked.

This is a product analytics role first. You will sit with PMs, design and engineering, and your work will directly shape what gets built and what gets rolled back.

What you'll do

- Funnel tracking: Define, instrument and monitor funnels across onboarding, payments and credit journeys. Diagnose drop-offs and size the fix.
- Pre-post analysis: Measure the impact of every launch and change, separating real movement from seasonality, mix shift and noise.
- Experimentation: Design A/B tests with PMs (hypothesis, metrics, sample size, guardrails), track them through to a clear ship / iterate / kill call.
- Deep dives: Cohort, retention and segmentation work that changes the roadmap, not just describes it.
- Instrumentation: Own northstar metric definitions. Write event specs with product and engineering so that features shipped are measurable. Create dashboards and weekly reviews for your charter. Catch anomalies before someone asks, and get to the root cause fast.



Keep everyone honest via data driven analysis

Must-haves

- 3–5 years in analytics, with most of it in product analytics at a consumer app or internet company.
- Strong SQL on large event-level datasets. Comfortable working with clickstream data, event taxonomies, Metabase, BigQuery etc
- Hands-on with funnel analysis, pre-post measurement and A/B experimentation, including knowing when a result should not be trusted.
- Can define a north-star and its input metrics for a recent feature from scratch, and knows which metrics are gameable or misleading.
- Communicate the answer first. Can tell a PM what to do, not just what the data says. Knows when an 80% answer in two hours beats a perfect one in two days.
- Has run the BAU side of product analytics: dashboards, metric definitions, recurring reviews, anomaly triage.
- Working knowledge of statistics: significance, confidence intervals, sample sizing, common experimentation pitfalls.
- Sanity-checks their own numbers, spots instrumentation bugs and broken event logging before presenting, and knows the data lineage well enough to say where a number can’t be trusted.

Good to have

- Fintech exposure (UPI, payments or consumer credit) will be strongly preferred
- Risk or business analytics experience will be a plus

📌 Senior Product Analyst (Bengaluru)
🏢 Super Money
📍 Bengaluru