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We are hiring a Senior Analyst to partner closely with our Healthcare Product team, work on future-focused health initiatives, and support the broader digital health and clinical teams in their efforts to utilize data and insights to make informed decisions on their roadmap and continuously improve the member experience. We are looking for an individual who can be fluent in data, driven by product thinking and is looking to deeply understand and tackle complex analytics challenges. This person should feel empowered to foster their own curiosity and raise support for ideas that meaningfully impact the WHOOP member experience.
Job Responsibility:
Collaborate closely with Product, Digital & Connected Health, Software, UX, Data Science, Marketing, and Strategic Finance teams to break down and prioritize the product strategy and roadmap
Develop a deep understanding of WHOOP's database and tools to effectively drive data-driven proposals to internal stakeholders on necessary changes
Help build and refine health-specific KPIs, including engagement with relevant features, adoption of recommended behaviors, and member-reported value
Uncover insights about key member segments — including those managing hormonal health, cardiometabolic health, or looking for more personalized wellness support
Create repeatable tools and processes for analytics across new health features and algorithms— from data pipelines to dashboards and weekly health performance reviews
Collaborate with a high-performance team in a fast-paced environment, providing thought leadership to identify the most impactful ways to drive decisions and improve retention
Requirements:
4+ years of experience in a deeply strategic/analytical role, including partnership with clinical, product, data science, or engineering teams
Able to take broad questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations
Strong storytelling skills – able to create compelling and concise presentations that convey actionable solutions to complex, ambiguous problems
Demonstrated success in influencing senior stakeholders and leadership on strategic direction based on analytical recommendations
Experience working with data engineering and development teams on complex datasets
Advanced skills in SQL and general understanding of ELT (dbt) and data warehousing (Snowflake) structures, as well as data visualization (eg. Amplitude, Sigma, Hex). Python is a plus
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
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