Business Analytics Senior Manager (Product, Core)

Partner with Product, Software, Hardware, Algorithms, and UX teams to align on goals, quantify impact, and identify new sources of value for WHOOP members.

Serve as the primary analytics partner across algorithms, core product, and hardware product workstreams, adapting your approach to the unique needs of each domain.

Lead, manage, and develop a team of analysts by fostering a culture of high performance, intellectual rigor, and continuous improvement. Invest in career development and raise the analytical bar across the organization.

Create repeatable tools and processes for analytics at scale, from data pipelines to agentic reporting solutions to weekly performance reviews.

Generate and drive a strategic analytic roadmap that proactively surfaces insights about member behavior, product performance, and feature adoption.

Build and refine KPIs across product domains including engagement, retention, feature adoption, and hardware performance metrics.

Design and oversee experimentation (A/B testing, causal inference) with clear success criteria, and bring rigor to how we measure what's working and what isn't.

Collaborate machine learning & research teams to evaluate model outputs, challenge assumptions, and ensure algorithmic work translates effectively into the product experience.

Provide thought leadership to senior stakeholders, delivering action-oriented recommendations that influence product roadmaps and strategic direction.

8+ years of experience in a deeply strategic/analytical role, including partnership with product and development teams.

Direct experience leading and developing a team of analysts, including driving large cross-functional projects and mentoring junior team members.

A true player-coach — able to independently take broad business questions, wrangle appropriate data, isolate and model key insights, visualize results, and communicate actionable recommendations.

Strong storytelling skills — able to create compelling, concise presentations that convey actionable solutions to complex, ambiguous problems.

Demonstrated success influencing senior stakeholders and leadership on strategic direction based on analytical recommendations.

Experience and knowledge running experiments (e.g., A/B testing, causal inference) and working with development teams.

Comfortable immersing yourself in new contexts — able to engage with technical PMs and data scientists on topics like data quality, device-level analytics, and signal processing tradeoffs enough to be a credible thought partner.

Experience working across multiple product domains simultaneously is strongly preferred.

Advanced skills in SQL and understanding of ELT (dbt) and data warehousing (Snowflake) structures, as well as data visualization tools (e.g., Looker, Hex, Tableau).

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.