Business Analytics Senior Manager (Product, Core) (18)

Business Analytics Senior Manager (Product, Core)

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

We're seeking a Senior Manager, Product Analytics to joinour Product Analytics team and lead analytical efforts across three critical domains: core product (think: sleep, strain, recovery), hardware product (partnering with technical PMs on device and sensor-level challenges), and algorithms (bridging algorithmic work and product decisions). This role isideal for someone who thrives as a player-coach: leading and developing a team of analysts while staying deeply hands-on with the work.

We're looking for someone who is fluent in data, driven by product thinking, and energized by working across multiple complex problem spaces simultaneously. Industry background matters less than analytical horsepower, intellectual curiosity, and the ability to translate ambiguous questions into clear, actionable insight. This person should feel comfortable operating at the intersection of product strategy, technical decisions, and analytical rigor — and should bring the range to be credible across all three.

Responsibilities

• 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.

Qualifications

• 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.

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.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility

The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.

At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.

The U.S. base salary range for this full-time position is $170,000 – $200,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.

In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.