At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. The WHOOP membership includes a wearable device, advanced analytics, a personalized coaching platform, and a community of high performers worldwide.
About the Role
We are seeking a Business Analyst I to join our Healthcare Product Analytics team to deliver high-quality analysis and insights that support WHOOP's Health Operating System — our growing suite of clinical features, personalized wellness experiences, and health outcome measurement tools.
This role is ideal for an early-career analyst who is energized by health and wellness and motivated by member impact. You are curious and confident exploring data, and eager to tackle complex analytical questions in partnership with product teams building features that help members manage their health. By transforming data into actionable insight, you will help ensure our healthcare experiences meaningfully enhance the WHOOP member journey.
Responsibilities
Cross-Functional Collaboration: Partner with Product, Digital Health, Software Engineering, UX & Design, Data Science, and Marketing teams to support analysis that informs healthcare product strategy and roadmap decisions.
Healthcare Product Performance & Reporting: Build and maintain dashboards and recurring reporting to track key healthcare product metrics such as feature engagement, adoption of recommended behaviors, member-reported outcomes, and program completion.
Insights & Analysis: Conduct structured analyses to understand how healthcare features influence member behavior, health engagement, and wellness outcomes, summarizing findings with clear, actionable recommendations.
Experimentation Support: Assist in the design, measurement, and analysis of A/B tests evaluating healthcare product features, ensuring proper metric definitions and result interpretation with guidance.
Data Quality & Validation: Write clean SQL queries, validate data accuracy across systems, and partner with Analytics Engineering to ensure reliable tracking and instrumentation for healthcare features.
Trend Monitoring & Escalation: Monitor healthcare product KPIs, proactively identify meaningful trends or anomalies, and escalate findings or recommend follow-up analyses in partnership with senior team members.
Member Segment Understanding: Support analyses that uncover insights about key member segments — including those managing hormonal health, cardiometabolic health, or seeking more personalized wellness support.
Documentation & Process: Contribute to repeatable tools and processes for analytics across health features — from data documentation to dashboards and weekly health performance reviews.
Qualifications
1–2 years of experience in a Business Analyst or similar analytical role, preferably in a product-focused environment.
Bachelor's degree in Statistics, Business, Economics, Data Science, Public Health, or a related field.
Working knowledge of SQL with the ability to write clean, well-structured queries (or strong interest in developing SQL proficiency).
Familiarity with data visualization tools such as Sigma, Amplitude, Looker, Hex, or similar.
Foundational understanding of A/B testing and experimentation principles.
Strong analytical curiosity with the ability to break down problems using data.
Clear communication skills with the ability to summarize findings in an answer-first format.
Collaborative mindset and eagerness to learn in a fast-paced, evolving healthcare product environment.
Interest in health, wellness, and how data-driven features shape member health outcomes.
Commitment to embracing and leveraging AI tools in day-to-day tasks, holding AI-assisted work to the same quality bar as personal contributions.
Bonus
Familiarity with modern data stacks: Snowflake, dbt, ELT workflows.
Background or coursework in health sciences, public health, biostatistics, or a related field.
Exposure to product analytics — feature adoption, funnel analysis, cohort comparisons.
Experience working with sensitive data (HIPAA, PII) or in a healthcare-adjacent environment.
Interest in how algorithms and clinical science translate into consumer health products.
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 $85,000 -$110,0000. 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.