Product Analyst

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring Product Analysts to embed across the product organization and serve as strategic analytics partners to teams across Healthcare, Algorithms, AI, Hardware, and other product areas. In this role, you will help define how WHOOP measures product success, uncover insights that shape roadmap decisions, and translate complex data into clear recommendations that improve the member experience. You will bring strong analytical rigor, product intuition, and intellectual curiosity to help teams make faster, smarter, and more impactful decisions with data. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $100,000 - $155,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. 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 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. TEAMS WE'RE HIRING FOR We’re looking for multiple analysts to work across our product teams. During the interview process, we'll work with you to find the right team fit based on your interests and strengths: 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.

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      "text": "RESPONSIBILITIES",
      "content": "<div>\n\n<li>\n<p>Partner with Product, Engineering, Research, Design, and cross-functional leadership to inform strategy and roadmap decisions with data.</p>\n</li>\n<li>\n<p>Own the analytical narrative for your product area, illustrated by defining KPIs, refining measurement frameworks, and surfacing insights that drive action.</p>\n</li>\n<li>\n<p>Support experimentation and feature launches end-to-end: from defining success metrics to post-launch analysis and iteration.</p>\n</li>\n<li>\n<p>Build scalable, self-serve reporting &amp; tooling that lets your stakeholders make decisions without waiting on you.</p>\n</li>\n<li>\n<p>Develop deep context on your product domain and use it to ask sharper questions, challenge assumptions, and push the product forward.</p>\n</li>\n<li>\n<p>Proactively surface insights and recommendations that go beyond the ask; identify opportunities others haven't seen yet.</p>\n</li>\n<li>\n<p>Collaborate with a high-performance analytics team in a fast-paced environment where intellectual curiosity is the baseline expectation.</p>\n</li>\n\n</div>"
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      "text": "QUALIFICATIONS",
      "content": "<div>\n\n<li>\n<p>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.)</p>\n</li>\n<li>\n<p>You use AI tools proactively and hold AI-assisted work to the same bar as your own.</p>\n</li>\n<li>\n<p>You can take a vague question, wrangle the right data, isolate insights, and communicate actionable recommendations to stakeholders who aren't data people.</p>\n</li>\n<li>\n<p>You're a strong storyteller: you know how to make a compelling, concise case for action.</p>\n</li>\n<li>\n<p>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.</p>\n</li>\n<li>\n<p>You have product sense: you think about the member experience, not just the numbers.</p>\n</li>\n<li>\n<p>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.</p>\n</li>\n<li>\n<p>You're a self-starter who thrives in ambiguity and doesn't wait to be told what to work on.</p>\n</li>\n\n</div>"
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      "content": "<div>\n<p><strong>TEAMS WE'RE HIRING FOR</strong></p>\n<p>We’re looking for multiple analysts to work across our product teams. During the interview process, we'll work with you to find the right team fit based on your interests and strengths:</p>\n\n<li>\n<p><strong>AI Product: </strong>The future of intelligent coaching and personalized insights powered by AI/ML.</p>\n</li>\n<li>\n<p><strong>Algorithms:</strong> Where the science meets the product; sleep, recovery, strain, and how algorithmic outputs translate into member value.</p>\n</li>\n<li>\n<p><strong>Hardware Product:</strong> The physical device experience; sensors, wearability, and next-gen hardware.</p>\n</li>\n<li>\n<p><strong>Healthcare Product:</strong> Building WHOOP's Health Operating System; health outcomes, clinical features, personalized wellness.</p>\n</li>\n\n</div>"
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