Whoop
Business Analyst I, Healthcare Product
Boston, MA · Junior · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($85,000) is below the Level I prevailing wage of $88,920. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $112,861 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This role is ideal for an early-career analyst who is energized by health and wellness and motivated by member impact.
- By transforming data into actionable insight, you will help ensure our healthcare experiences meaningfully enhance the WHOOP member journey.
Requirements
- 1-2 years of experience in a Business Analyst or similar analytical role, preferably in a product-focused environment.
- 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.
- 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.
- Familiarity with modern data stacks: Snowflake, dbt, ELT workflows.
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- 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.
- Bachelor's degree in Statistics, Business, Economics, Data Science, Public Health, or a related field.
- Foundational understanding of A/B testing and experimentation principles.
- 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.
- 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.
Compensation
- 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.
Benefits
- 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.
- 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.
Company info
- At WHOOP, we're on a mission to unlock and inspire performance for life.
- 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.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.