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Whoop

Whoop - Business Analyst II (Product)

Boston, MA$100k - $125k2w ago
In OfficeMidNAArtificial IntelligenceBusiness Intelligence AnalystSQLHexData VisualizationLookerTableau

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Requirements

• 2+ years of experience in an analytical role with demonstrated ownership of business-critical metrics or initiatives. • 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., Looker, Hex, Tableau, or similar). • Familiarity with modern data warehouses (e.g., Snowflake) and analytics workflows (e.g., dbt, ELT) is a plus. • Curiosity about how algorithms and models work — you don't need to build them, but you should be eager to understand their inputs, outputs, and how they shape the product. • 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. • 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. • Interested in the role, but don’t meet every qualification? We encourage you to still apply! 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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

Responsibilities

• Partner with Product, Sensor Intelligence, Machine Learning, Software, and UX to inform product strategy and roadmap decisions with data. • Develop a working understanding of WHOOP's algorithms and their outputs, and use that context to analyze how algorithmic features perform within the product experience. • Support experimentation and feature launches by defining success metrics, building measurement frameworks, and surfacing insights on feature adoption and member behavior. • Analyze the relationship between algorithmic outputs and product engagement — helping stakeholders understand not just what the algorithms produce, but how members interact with those outputs. • Build and maintain scalable reporting processes that enable product and algorithms stakeholders to self-serve insights and make data-driven decisions. • Proactively surface insights and action-oriented recommendations that go beyond the immediate ask — identifying opportunities to improve the member experience. • Collaborate with a high-performance team in a fast-paced environment, contributing analytical rigor to cross-functional discussions.

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