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The Senior Business Analyst will partner with AI Product teams to analyze data, develop strategies, and improve member experiences through AI-driven insights and frameworks.
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.
We are hiring a Senior Business Analyst to partner closely with our AI Product team, helping WHOOP advance our AI-powered experiences. This role sits at the intersection of analytics, product, and artificial intelligence, driving insights, shaping strategy, and operationalizing AI in ways that create powerful member experiences and drive positive long term health outcomes.
We are looking for an individual who is deeply curious about AI, fluent in data, driven by member experience, 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.
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.
RESPONSIBILITIES:
- Strategic Partnership: Partner with Product, Engineering, Data Science, UX, and Strategic Finance teams to break down the AI vision into measurable goals, roadmap priorities, and success metrics.
- Insights to Impact: Develop frameworks and models to measure how AI features and agents influence engagement, retention, personalization, and health outcomes. Translate these insights into strategic recommendations that guide product decisions and elevate the WHOOP member experience.
- Data Exploration & Opportunity Identification: Dive deep into WHOOP’s datasets, pipelines, and infrastructure to uncover opportunities where AI can enhance automation, personalization, or member experience.
- Product Health & Performance Metrics: Define, track, and maintain KPIs related to engagement, quality, latency, cost, and the overall member experience.
- Experimentation & Validation: Design and analyze A/B tests to measure the impact of AI-driven product features.
- Engineering Collaboration: Partner with software engineers on mobile and backend data design to unlock turnkey analysis and reporting on key business questions.
- Cross-Functional Insight Integration: Collaborate with UX Research, Product, and Member Insights teams to connect quantitative analysis with qualitative feedback and behavioral observations.
QUALIFICATIONS:
- 4+ years of experience in a deeply analytical role, preferably within an AI or core product focused environment.
- Demonstrated ability to work in ambiguity: structure problems, wrangle data, model insights, and surface actionable recommendations.
- 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.
- Expertise in experimental design (A/B testing) and causal inference techniques to measure the causal effect of AI and product initiatives.
- Strong storytelling skills: ability to synthesize complex analytical results for both technical and non-technical stakeholders.
- Track record influencing leadership or product decisions via data-driven insight.
- Experience working with data engineering and development teams on complex datasets
- High intellectual curiosity, ownership mindset, and comfort taking initiative in a rapidly evolving environment.
- 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.
Interested in the role but don’t meet every qualification? We encourage you to apply! At WHOOP, we believe there’s more to a candidate than what’s on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we welcome all applicants.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Top Skills
Amplitude
Dbt
Hex
Python
Sigma
Snowflake
SQL
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
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