6 дней назад
Senior Product Analyst (Subscription)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Product Analyst (Subscription): Owning end-to-end experimentation and identifying growth opportunities across active subscriptions with an accent on A/B testing, product analytics, and causal inference. Focus on designing decision-ready analyses, building trustworthy metrics, and turning behavioral data into product decisions.
Location: Remote from anywhere
Company
is building a fast-growing subscription product supported by a data function led by an experienced Head of Data.
What you will do
- Own the A/B testing program from hypothesis development and experiment design through analysis and ship or no-ship decisions.
- Identify and size growth opportunities across active subscriptions, including onboarding and retention.
- Translate product and behavioral data into decisions for the product team.
- Partner with product leadership as an analytics counterpart.
- Build and maintain reliable metrics, dashboards, and experiment readouts.
- Propose high-value experiments and evaluate their results.
Requirements
- C1 or native-level English.
- Strong SQL skills and confidence working with a cloud data warehouse such as BigQuery.
- Hands-on experience designing and analyzing A/B tests, with a solid understanding of statistics and causal inference.
- Product analytics experience that has influenced product decisions.
- Ability to turn ambiguous business questions into clear, decision-ready analyses.
- Proactive, action-oriented approach and comfort owning outcomes in an asynchronous, distributed team.
Nice to have
- Experience with dbt and Metabase.
- Background in subscription, marketplace, or consumer products.
- Familiarity with experimentation platforms and product design.
- Strong quantitative or STEM education.
Culture & Benefits
- Fully remote work with flexibility over when and where to work.
- Full-time role with direct impact on a subscription product.
- Ownership of the experimentation roadmap and the opportunity to support independent product bets.
- Corporate learning budget and access to a corporate library.
- Modern work equipment provided after six months of employment.
- Development planning and salary increases based on results.
Hiring process
- HR interview followed by an interview with the Head of Data.
- Test task and panel interview with product stakeholders.
- Final interview and offer.
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