Senior Product Analyst

Accountabilities

• • 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.

  Requirements

  • 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.

  Benefits

  • 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.