Senior Business Analyst (Healthcare Product)
Team: Business Intelligence & Analytics
Location: Boston, MA
Workplace Type: onsite
RESPONSIBILITIES:
- Collaborate closely with Product, Digital Health, Software, UX & Design, 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.
QUALIFICATIONS:
- 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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