Senior Business Analyst (AI Product)

About Whoop

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.

Job Summary

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.

Key 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.
• 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.

Requirements

• 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 analysis.