WHAT YOUʼLL DO

• Drive insights that matter: Translate complex data into compelling stories that guide product decisions and strategy.
• Shape success metrics: Partner with PMs to define KPIs, metric trees, and measurable goals that connect product impact to business outcomes.
• Guide experimentation: Design, run, and evaluate A/B tests and causal analyses to measure the impact of new features and user flows.
• Influence the roadmap: Surface insights that size opportunities, highlight trade-offs, and sharpen prioritization.
• Build trusted data: Collaborate with engineers and data teams to ensure reliable, scalable data models and tracking.
• Make data accessible: Create dashboards, enable self-service, and drive data literacy across product teams.

TO BE SUCCESSFUL IN THIS ROLE

• Experience: 4+ years in product analytics or similar area, ideally in SaaS or consumer-facing products.
• Experimentation expertise: Proven experience designing and evaluating A/B tests and other experimental methods.
• Technical skills: Strong SQL and BI tools (e.g. Tableau). Proficiency with Python/R for advanced analysis is a plus.
• Product mindset: Ability to translate data into hypotheses, opportunities, and product decisions.
• Stats comfort: Solid grasp of statistics, causal inference, and how to separate signal from noise.
• Communication: Clear and compelling storytelling – you can influence PMs, engineers, and leaders alike.
• Ways of working: Proactive, detail-oriented, and able to drive initiatives independently.

WHAT WE OFFER

• Annual professional development reimbursement.
• Generous time-off policy to balance your work and life.
• Comprehensive medical, dental, and vision coverage for you and your dependents.
• Hybrid format to split your time between the comforts of home and collaborative spaces.
• Relocation support for you and your family.
• Professional development budget for relevant conference tickets, training programs, or courses.