Senior Product Analyst

About the role

Senior Product Analyst role based in India, fully remote, focused on shaping product decisions through rigorous data analysis, experimentation, and research. You will own the product metrics framework, ensure consistent definitions across teams, and combine advanced analytics, statistical methods, product research, and A/B testing to uncover opportunities and guide prioritization. Day-to-day work includes investigating anomalies, identifying conversion bottlenecks, validating hypotheses, designing and evaluating A/B tests, and translating complex datasets into actionable recommendations for Product and functional leaders.

What you’ll do

• Own and continuously evolve the product metrics tree, ensuring consistent and clearly documented definitions across teams
• Validate metrics and dashboards, write clear specifications for Data Engineering, and ensure analytical requirements are correctly implemented
• Decompose north-star metrics into measurable components that individual teams can directly influence
• Conduct ad-hoc investigations into metric fluctuations, anomalies, conversion drop-offs, segmentation issues, and other product performance questions
• Identify bottlenecks, non-obvious behavioral patterns, and growth opportunities through structured data mining and analysis
• Validate product hypotheses and work with Product teams to prioritize problems according to their potential impact on key business metrics
• Design and evaluate A/B tests, including sample-size calculations, minimum detectable effect, test duration, randomization splits, and statistical validation
• Perform pre-test sanity checks and verify experiment splits before analyzing results

What you’ll bring

• Higher education in mathematics, statistics, computer science, engineering, or another technical discipline
• Strong knowledge of mathematical statistics and probability theory with practical experience applying statistical methods to business and product questions
• Proven experience extracting, processing, analyzing, and visualizing data using MS SQL, Python, and Excel
• Deep hands-on experience designing, running, and analyzing A/B tests and controlled experiments
• Strong understanding of marketing and product metrics and demonstrated experience applying them to evaluate performance and identify growth opportunities
• Strong analytical and problem-solving capabilities with ability to investigate complex or ambiguous questions independently
• Ability to translate large or complex datasets into clear insights and practical recommendations
• Strong attention to data quality, metric consistency, and analytical accuracy

Skills

Benefits

• Competitive compensation, with the initial salary or salary range shared during the recruitment process
• 28 calendar days of vacation per year
• 7 wellness days per year for personal needs, recovery, or household matters
• Referral bonuses of up to $5,000 for successful candidate recommendations
• 50% reimbursement for professional training, international conferences, and industry meetings

Education

Higher education in mathematics, statistics, computer science, engineering, or another technical discipline