Product Analyst

Responsibilities

• Partner with Product, Engineering, Research, Design, and cross-functional leadership to inform strategy and roadmap decisions with data.
• Own the analytical narrative for your product area, illustrated by defining KPIs, refining measurement frameworks, and surfacing insights that drive action.
• Support experimentation and feature launches end-to-end: from defining success metrics to post-launch analysis and iteration.
• Build scalable, self-serve reporting & tooling that lets your stakeholders make decisions without waiting on you.
• Develop deep context on your product domain and use it to ask sharper questions, challenge assumptions, and push the product forward.
• Proactively surface insights and recommendations that go beyond the ask; identify opportunities others haven't seen yet.
• Collaborate with a high-performance analytics team in a fast-paced environment where intellectual curiosity is the baseline expectation.

Qualifications

• 2-6+ years in an analytical role where you owned business-critical metrics or initiatives.
• Use AI tools proactively and hold AI-assisted work to the same bar as your own.
• Take a vague question, wrangle the right data, isolate insights, and communicate actionable recommendations to stakeholders who aren't data people.
• Strong storyteller: make a compelling, concise case for action.
• Technically sharp: advanced SQL is table stakes. Familiarity with modern data stacks (Snowflake, dbt, ELT workflows) and visualization tools (Hex, Sigma, Amplitude, Looker) is a plus.
• Product sense: think about the member experience, not just the numbers.
• Curious about how things work. Algorithms, hardware, health science.
• Self-starter who thrives in ambiguity and doesn't wait to be told what to work on.