Senior Manager, Commercial Analytics

About the role

At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is hiring a Senior Manager, Commercial Analytics to support our commercial business across sales channels. In this role, you will oversee reporting to understand commercial performance, evaluate growth opportunities, and make informed investment decisions. You will lead a team of analysts supporting Digital Commerce, Apparel & Accessories, and Wholesale while remaining hands-on with the highest-impact analytical work. You will partner closely within the broader analytics team and across the organization to translate complex data into clear business decisions and establish consistent measurement across the commercial organization. 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.

Responsibilities

• Lead and develop a team of analysts supporting Digital Commerce, Apparel & Accessories, and Wholesale, setting clear priorities and ensuring analytical work translates into meaningful commercial impact.
• Own the commercial bookings model and short-term, bottoms-up forecasting, explaining performance across channels, geographies, products, and partners and partnering with Finance to reconcile channel-level forecasts with company planning.
• Establish consistent frameworks for evaluating channel and customer economics to enable informed comparisons and investment decisions across the commercial organization.
• Build scenario-planning and measurement frameworks that quantify tradeoffs across volume, cost, retention, pricing, mix and margin.
• Run point on critical commercial decisions and operating rhythms, diagnose the drivers of bookings and member economics, and translate findings into clear recommendations for senior stakeholders.
• Partner cross-functionally to improve the data, measurement, and analytical capabilities that support commercial decision-making.

Qualifications

• Bachelor's or advanced degree in Business, Economics, Math, Statistics, Data Science, or a related field.
• 7+ years of experience in analytics, data science, strategic finance, commercial strategy, or a related discipline, with demonstrated experience using customer and unit economics to inform business decisions.
• Experience building or owning commercial measurement frameworks such as LTV, CAC, payback, contribution margin, forecasting, scenario planning, or incrementality, ideally within a subscription, recurring-revenue, or multi-channel business.
• Demonstrated people leadership experience, with a track record of developing talent, setting priorities, and maintaining high standards for analytical quality and business impact.
• Strong SQL skills and experience working with modern data infrastructure, paired with proficiency in Python, R, or comparable analytical tools for modeling and advanced analysis.
• Experience partnering with senior commercial, sales, marketing, or finance stakeholders to frame ambiguous business questions, evaluate tradeoffs, and translate analysis into clear recommendations and actions.
• Strong business acumen and understanding of analytical measurement, including the ability to evaluate modeling approaches and their limitations and effectively partner with Data Science and other technical teams.