Senior Product Analyst

Accountabilities • Design and run product experiments end to end, including hypothesis development, test duration, sample-size requirements, feasibility assessment, A/B testing, statistical significance, and interpretation of results.

• Unify product metrics across multiple product areas into a coherent measurement framework, connecting the core company metric to acquisition, retention, reactivation, churn, and other key drivers. • Act as an independent analytical voice, ensuring product decisions are grounded in reliable evidence rather than assumptions or intuition. • Identify high-leverage growth opportunities where relatively small investments or changes can generate meaningful improvements in key metrics. • Connect product metrics to business goals, estimates, and costs, monitoring performance and identifying potential deviations from targets early. • Generate, prioritize, and validate product hypotheses in close collaboration with product managers. • Investigate anomalies and unexpected metric movements, identify root causes, and highlight potential product issues before they become more significant. • Assess product initiatives against broader business objectives and provide clear, data-driven perspectives on priorities and expected impact. • Continuously improve analytical processes, methodologies, and ways of working by identifying opportunities for greater rigor and efficiency.

Requirements

• 4+ years of professional experience in product analytics, ideally within a product environment with large or complex data volumes. • Bachelor’s degree or equivalent academic background in mathematics, engineering, or a related technical discipline. • Strong practical knowledge of mathematical statistics and probability theory. • Proven hands-on experience designing and running A/B tests, including test sizing, statistical significance, and results interpretation. • Strong proficiency in SQL and Python, with experience in data extraction, processing, analysis, and visualization; familiarity with Superset is a plus. • Deep understanding of product and marketing metrics such as LTV, CPA, retention, and conversion rate, including how these metrics connect to broader business performance. • Strong product thinking and the ability to interpret user behavior behind quantitative metrics. • High autonomy and ownership, with the ability to independently identify growth opportunities and follow initiatives through to measurable impact. • Strong critical-thinking skills, including the ability to challenge assumptions, validate data, and cross-check analytical conclusions. • Excellent communication skills, with the ability to explain complex analytical findings clearly and structure recommendations around measurable impact. • Experience with social products, dating, gaming, or two-sided marketplaces is an advantage. • Hands-on experience with recommender systems is a plus. • Previous experience working with data-rich, high-volume products is desirable.