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Whoop

Product Analyst

Whoop is hiring a Product Analyst in Boston, United States. It pays $100k-$155k a year and Level rates it ; you can apply on Whoop.

Level's read on this job

  • On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • The posting mentions SQL, Snowflake and dbt among its tools and skills.
  • Level classes it as a mid-level role.
  • Whoop has 124 other open roles on Level.

AI in this role

Partner with product teams as a Product Analyst to define metrics, run experiments, and surface data insights using advanced analytics and AI tools.

SQLSnowflakedbtLookerAmplitudeSigmaHex
data-analysisproduct-analyticsexperimentationa-b-testing

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.

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.

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.

How we rate this

Product Analyst at Whoop rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisProduct AnalyticsExperimentationA B TestingSQLSnowflakedbtLooker

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where product analytics was part of your work. What did you do?
  3. Tell me about a project where experimentation was part of your work. What did you do?
  4. Tell me about a project where a b testing was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Product Analytics, Experimentation, A B Testing, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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