Director of Marketing Analytics

Director of Marketing Analytics

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 seeking a Director of Marketing Analytics to lead a growing team of analysts and data scientists. In this senior, cross-functional leadership role, you'll partner closely with Consumer Marketing, Brand Marketing, Wholesale, and Apparel & Accessories to shape WHOOP's marketing strategy through data-driven measurement, modeling, and storytelling.

Responsibilities :

• Lead and grow a high-performing Marketing Analytics organization : build and mentor a team of analysts and data scientists who support all facets of the Marketing organization. Foster a culture of analytical rigor, continuous learning, and collaboration.
• Build a unified view of omni-channel marketing performance : create and maintain executive-level reporting and narrative of how WHOOP's marketing engine is performing across DTC, Wholesale, Paid Media, Brand, and Lifecycle. Surface insights linking spend to outcomes like LTV, incremental lift, and long-term member value.
• Partner as a strategic thought leader with senior marketing stakeholders : provide data-driven guidance on spend allocation, creative effectiveness, channel mix, targeting, and market expansion.
• Own measurement and experimentation strategy : oversee marketing incrementality testing, media lift studies, creative experimentation, lifecycle testing, and attribution frameworks. Guide data scientists on advanced modeling (LTV prediction, MMM, churn modeling, personalization).
• Champion data quality, standardization, and storytelling : ensure marketing and performance data is harmonized across platforms, geographies, campaigns, and funnels. Translate complex results into clear, actionable recommendations for executives.
• Foster cross-functional collaboration : work alongside Product, Engineering, Creative, Data Engineering, and Lifecycle teams to ensure data infrastructure, experimentation tooling, attribution, and reporting enable rapid iteration and long-term strategy.

Qualifications :

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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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 $190,000-$230,000. 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. 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.