We are looking for a Senior/Lead Growth Product Analyst to help drive product and growth decisions through deep analytical thinking, experimentation, and data storytelling.

This is not a generic data analyst role. We are specifically looking for someone with strong experience in product and growth analytics — someone who understands funnels, retention, monetization, experimentation, and how to translate product data into actionable business decisions.

The role will initially require full-time involvement during the first 30–60 days to help establish strong analytics foundations across the company. After the initial setup phase, the role is expected to transition into a steady-state workload of approximately 20–25 hours per week.

You will work closely with leadership, product, and engineering teams to improve experimentation quality, analytics infrastructure, and KPI visibility across the business.

• Audit and improve current product analytics infrastructure
• Define and standardize event taxonomy and tracking systems
• Build and refine dashboards for product and growth metrics
• Reanalyze historical experiments and identify missed insights
• Improve data standards and reporting consistency across teams
• Partner closely with Product and Engineering on instrumentation quality

• Deliver 2–4 experiment/test readouts per month
• Conduct weekly KPI and growth metric reviews
• Analyze funnels, retention, engagement, and monetization trends
• Support paywall and conversion optimization initiatives
• Answer ad hoc product and growth questions from leadership
• Coach and support junior analytics talent internally
• Help teams make faster and better product decisions through data

• Has 6–9 years of experience in product analytics or growth analytics
• Strong expertise in SQL and querying large datasets
• Experience with BigQuery, Google Analytics (GA4), or similar analytics platforms
• Deep understanding of:
• Product funnels
• Retention analysis
• Monetization metrics
• Experimentation frameworks
• A/B testing and statistical significance
• KPI design and measurement
• Experience designing analytics events and tracking product behavior
• Comfortable communicating insights directly with leadership and product teams
• Strong problem-solving and critical thinking skills
• Able to operate independently in fast-paced startup environments

• Experience in high-growth consumer apps or subscription businesses
• Experience working on paywall optimization and monetization experiments
• Familiarity with AI tools and AI-assisted workflows to improve productivity
• Experience mentoring or coaching junior analysts

We are particularly interested in candidates with experience from high-performing product and growth-focused companies such as:

• Pocket FM
• Kuku FM
• Dream11
• Groww
• CRED
• PhonePe
• HealthifyMe
• Swiggy
• Zomato