Whoop2mo ago

Business Analytics Manager (Finance)

United States·Bostonmid

Data ScienceOtherBusiness Analytics Manager

6 views0 saves0 applied

Apply Now

Quick Summary

Overview

At WHOOP, we're on a mission to unlock human performance. As we scale, the rigor and clarity of our financial planning processes are critical to how we allocate capital, set targets, and operate with discipline.

Technical Tools

dbtsnowflakesqlfinancial-modelingforecasting

Partner with FP&A on topline forecasting, ensuring assumptions are grounded in operational reality and core business drivers are clearly defined and measurable.

Improve the structure, consistency, and scalability of planning processes across budget, rolling forecast, and long-range planning.

Establish clear frameworks for pacing and variance analysis that increase organizational accountability and improve forecast precision over time.

Translate complex business dynamics into structured, decision-oriented insights for senior leadership.

Partner with Growth and Marketing to ensure initiative-level forecasts align to company targets and reflect sound financial logic.

Build thoughtful business cases for incremental investments and initiatives, grounded in disciplined, data-driven tradeoff analysis.

Help leadership understand the financial implications of strategic decisions - balancing short-term performance with long-term value creation.

Design and institutionalize scalable planning frameworks that improve accuracy and reduce friction across teams.

6+ years of experience in Financial Analytics, Strategic Finance, Growth Analytics, or a similarly rigorous role within a subscription, DTC, or consumer technology business.

Strong financial modeling skills; comfortable building and refining driver-based forecasts that support executive planning.

Demonstrated ability to deeply understand business models and connect operational drivers to financial outcomes.

Strong track record building business cases and evaluating strategic tradeoffs using structured analytical frameworks.

High bar for analytical integrity and a bias toward accuracy over narrative.

Advanced SQL proficiency required; experience working with complex data models in Snowflake, dbt, or similar environments preferred.

Strong executive presence; able to defend assumptions and recommendations clearly and confidently.

Proven ability to align stakeholders with differing priorities around shared, data-driven conclusions.

Self-starter with a player-coach mentality - equally comfortable shaping strategy and diving deep into the underlying data and models.

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 $150,000 - $180,000. 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.