Senior Product Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst based in United States.

• 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.
• Analyze experiment outcomes alongside relevant guardrail metrics and translate findings into actionable product recommendations.
• Define data-tracking requirements and identify the events and instrumentation needed to support reliable experimentation.
• Maintain an organized archive of experiments, findings, and recommendations.
• Proactively identify data-quality issues and help prevent unreliable data from influencing product decisions.
• Collaborate directly with functional and product leaders to turn analytical insights into measurable improvements.

• 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 the 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.
• Excellent communication and collaboration skills, particularly when working with Product and cross-functional stakeholders.
• Proactive mindset and ability to identify important questions and opportunities rather than simply responding to requests.

• Fully remote, full-time work opportunity.
• 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.
• Corporate discounts for English-language lessons.
• Health support of up to $1,000 gross per year for employees who are not eligible for corporate medical insurance, usable toward health insurance or eligible healthcare expenses for themselves and close relatives.
• Workplace equipment and support, including reimbursement of up to $1,000 gross every three years for home-office or coworking costs, depending on location.
• Access to equipped workplaces and coworking facilities where available.
• Internal gamified recognition program allowing employees to earn rewards such as merchandise, team-building activities, and massage certificates.
• International and remote-first working environment with colleagues across different locations.