Business Analyst II (AI Product)
Boston, MAFull-TimeMid-levelAnalyst
RESPONSIBILITIES:
- 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.
QUALIFICATIONS:
- 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.
