описание
Описания нет
задачи
- Run the A/B testing program end to end, from hypothesis and design through analysis and a clear ship-or-no-ship decision
- Find and size growth opportunities across active subscriptions, from onboarding through retention
- Turn product and behavioral data into decisions the product team acts on
- Partner with product leadership as its analytics counterpart
- Build and maintain trustworthy metrics, dashboards, and experiment readouts
- Propose worthwhile experiments and validate their results
- Generate five promising experiment ideas a week rather than one perfect 20-page report a month
- Own the experimentation roadmap and back personal bets
требования
- C1 or native-level English
- 5–8 Years in product analytics, growth analytics, or experimentation, with work that changed product decisions; proven impact matters more than exact tenure
- Strong SQL and BigQuery skills, with the independence to investigate messy data and data-quality issues
- Hands-on experience designing and analyzing A/B tests
- Solid grounding in statistical power, uncertainty, cohort analysis, causal inference, and the limits of observational data
- Ability to turn a messy business question into a clear, decision-ready analysis
- Action-oriented, proactive, and comfortable owning outcomes
- Comfortable working on a US team and maintaining steady daily overlap with US Eastern hours (about 4); the team works asynchronously by default, with a few calls each week
- Будет плюсом: experience with dbt and Metabase, subscription, marketplace, or consumer product background, Python, direct experience working with founders and product leaders, familiarity with experimentation platforms and product design, strong quantitative or STEM education
условия
- Remote work from anywhere
- Corporate learning budget
- Test task followed by a panel interview with product stakeholders