Senior Product Analyst
New
J
JobgetherResearch & Development
PolandFull-TimeSenior
SalaryInitial compensation level or salary range shared with candidates during the recruitment process and before employment begins.
Apply NowOpens the employer's application page
Job Details
- Experience
- 4+ years of professional experience in product analytics
- Required Skills
- PythonSQLProduct AnalyticsData visualizationA/B testing
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.
- 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.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
