Whoop4mo ago

Business Analyst II (AI Product)

United States·BostonFull Timemid

Data ScienceBusiness AnalystData & AI

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Quick Summary

Overview

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

Technical Tools

amplitudedbtsnowflakesqlab-testingdata-visualization

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

We are hiring a Business Analyst II 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, generating insights, informing strategy, and helping operationalize 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.

Strategic Partnership: Collaborate with Product, Data Science, Engineering, and UX teams to support translating AI product goals into measurable questions, analyses, and success metrics.

Insights to Impact: Analyze how AI features influence engagement, retention, personalization, and member outcomes, and provide clear recommendations that inform product decisions.

Data Exploration & Opportunity Identification: Explore WHOOP’s datasets to identify trends and surface opportunities for improving AI-driven experiences.

Product Health & Performance Metrics: Support defining, tracking, and maintaining KPIs related to key AI performance metrics, including engagement, quality, latency, and cost.

Experimentation & Validation: Design and analyze A/B tests to measure the impact of AI-driven product features.

Engineering Collaboration: Work with software and data engineers to ensure data accuracy, improve data availability, and contribute to discussions around data structure and instrumentation.

Cross-Functional Insight Integration: Partner with UX Research, Product, and Member Insights to connect quantitative findings with qualitative feedback and behavioral observations.

2+ years of experience in an analytical role, preferably within a product focused environment.

Demonstrated ability to distill complex problems into clear, actionable, data-driven insights and communicate them effectively to stakeholders.

Strong technical and analytical skills, including proficiency in SQL and familiarity with data visualization tools (e.g., Sigma, Amplitude, Hex, or similar). Familiarity with modern data warehouses (e.g., Snowflake) and analytics workflows (e.g., dbt, ELT) is a plus.

Foundation in A/B testing and experience applying experimentation methods to evaluate product performance.

High intellectual curiosity and a self-starting mindset; comfortable working in a fast-paced, 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.