Product Analyst

Responsibilities

• Partner with Product, Engineering, Research, Design, and cross-functional leadership to inform strategy and roadmap decisions with data.
• Owning 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.
• 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.

Teams We're Hiring For

• AI Product: The future of intelligent coaching and personalized insights powered by AI/ML.
• Algorithms: Where the science meets the product; sleep, recovery, strain, and how algorithmic outputs translate into member value.
• Hardware Product: The physical device experience; sensors, wearability, and next-gen hardware.
• Healthcare Product: Building WHOOP's Health Operating System; health outcomes, clinical features, personalized wellness.

The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.