Product Analyst

Kulfi; Bengaluru; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Kulfi in Bengaluru is seeking a data-focused analytics role in-office to own data, instrument event schemas, and build core funnels in Mixpanel and Metabase. You will monitor onboarding and retention, translate data into hypotheses, and collaborate with product and engineering to improve the user journey.

Ideal candidates have 1–2 years of experience with SQL, analytics, and product thinking. This role offers a hands-on, high-velocity environment focused on delivering real user impact.

Qualifications

• SQL proficiency with multi-table queries and complex aggregations.
• Hands-on Mixpanel reporting experience with funnels, cohorts, flows, formulas, and events.
• Strong product thinking with behavioral empathy and ability to map metrics to user outcomes.
• Ability to break top-level goals into leading indicators and actionable metrics.
• Proactive data investigation and ownership, with a bias for fixing data quality issues.

Responsibilities

• Own Data and instrument Event Schemas: define, document, and audit user information across app updates.
• Build and monitor core funnels dashboards in Mixpanel and Metabase (onboarding, pairing, lobby drop-offs, push opens).
• Monitor core metrics and form hypotheses to improve onboarding and retention.
• Evaluate A/B experiments with statistical significance, sample size, and guardrails.
• Write production-grade SQL to answer product questions; ensure data hygiene and flag telemetry issues between platforms.

Skills

SQL Fluency

Mixpanel Mastery

First-Principles Thinking

Metric Tree Architecture

Proactive Investigation

Extreme Ownership

Tools

DataDog

PostHog

Job description

Job Description

Location: Jayanagar, Bengaluru — in office

Type: Full-time

Experience: 1-2 years

Compensation: the posted range is fixed pay; ESOPs come over and above.

About Kulfi

Kulfi is where couples in India spend time together, even when they cant be in the same place.

About 100 million unmarried Indian couples dont get to be together most nights. Different cities, different homes, parents around. A phone is all they have. So they join a class just to be near each other, or stay on a one-way call, or watch a movie over video. They do all this for love, and nothing was built for them.

We are building that. Kulfi is a digital experiences app for couples, and close to a million people already use it. We did not get here by spending. Daily users grew 4x in 30 days this summer. We added 100,000 users in the first 20 days of August without paying for a single ad. 80% of all play happens between 9pm and midnight. That is bedtime, and we own it. We are backed by South Park Commons and by founders and CEOs from Swiggy, Mosaic Wellness, Snitch and Moonshot.

Next is an AI personalization engine for games. Every couple gets a new game every day, made for them on the spot from what they like. Our team already ships a new game in about two days. No couple should run out of things to do together.

India has more couples than any other country. We want every one of them on Kulfi.

We are a small, high-intensity team. Your work will reach real users quickly, and you will be expected to notice what is broken—not wait for someone else to notice it for you.

What You Will Do

• Own Data
• Instrument Event Schemas: Define, document, and audit user information (events, properties, user profiles) across all app updates, ensuring zero tracking issues.
• Own Primary Conversion Funnels: Build and monitor core tracking dashboards in Mixpanel and Metabase like user onboarding, couple-pairing completion, game lobby drop-offs, and push notification open rates.

Product Thinking & Experimentation

• Monitor Core Metrics: Track onboarding, activation, retention curves, etc. regularly and form hypotheses to achieve internal goals.
• Translate Data into Hypotheses: Move beyond pull requests for dashboards. Identify the exact step where users drop off and hand PMs actionable, pre-scoped hypotheses.
• Evaluate A/B Experiments: Run statistical significance, sample size, and guardrail metric analyses for live A/B tests across onboarding and retention loops.

Complex SQL & Cohort Analytics

• Write Production-Grade SQL: Query raw production databases directly using advanced SQL to answer non-standard product questions.
• Data Hygiene & Anomaly Detection: Run daily validation checks to flag telemetry drops, duplicate events, or logging mismatches between Android and iOS.

What We Are Looking For

• A. Technical Skills
• SQL Fluency: Writing optimized, multi-table queries, complex aggregations, and subqueries without relying on visual query builders.
• Mixpanel Mastery: Practical knowledge of Mixpanel’s core reports (Funnels, Retention Cohorts, Flows, Formulas, and Custom Events).
• B. Product Thinking
• First-Principles Behavioural Empathy: You understand that data points reflect emotional couple rituals. You ask why, not just what.
• Metric Tree Architecture: Ability to break a top-level goal (e.g., D7 retention) down into clear input and leading indicators.
• C. Super Curious & High Agency
• Proactive Investigation: When a metric dips, you dig into raw logs, device categories, and app versions before anyone asks.
• Extreme Ownership: You refuse to accept dirty data or untracked features; you confront engineering and product to fix broken telemetry immediately.

Bonus Points (Helpful, Not Required)

• Experience with Python or R for exploratory data analysis and statistical validation.
• Familiarity with logging and experimentation infrastructure (DataDog, PostHog, etc.).
• Prior work on consumer social, mobile gaming, or two-sided marketplace datasets.

What Success Looks Like

Within 30 Days:

• Complete a full audit of Mixpanel event taxonomy; fix missing tracking properties; deliver a complete cohort baseline for nightly active couples.
• Lead statistical analysis for ongoing onboarding A/B tests.

Within 90 Days:

• Uncover a non-obvious retention driver that directly shapes the product roadmap.

Interview Process

• Application Screen: Review of SQL competency, analytical projects, and data storytelling.
• 15-Minute Intro Screen: Evaluates product curiosity, structured reasoning, and technical baseline.
• 90-Minute Live SQL & Product Analytics Jam
• 45-Minute Founder Chat: Deep dive into analytical rigor, intellectual honesty, and high agency.
• Reference Checks