Product Analyst

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.

You've done this before: 2-6+ years in an analytical role where you owned business-critical metrics or initiatives. (We're hiring across levels; we'll figure out the right fit together.)

You use AI tools proactively and hold AI-assisted work to the same bar as your own.

You can take a vague question, wrangle the right data, isolate insights, and communicate actionable recommendations to stakeholders who aren't data people.

You're a strong storyteller: you know how to make a compelling, concise case for action.

You're 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.

You have product sense: you think about the member experience, not just the numbers.

You're curious about how things work. Algorithms, hardware, health science: you don't need to be an expert, but you should want to understand.

You're a self-starter who thrives in ambiguity and doesn't wait to be told what to work on.