What are the responsibilities and job description for the Allocation Analyst, Wholesale Planning position at Whoop?
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.
WHOOP is seeking an Allocation Analyst to support the Wholesale Planning function by ensuring the right products are in the right place at the right time across our wholesale partner network. Reporting to the Wholesale Planning Manager, this role will play a critical part in driving sales, optimizing inventory health, and supporting scalable wholesale growth through thoughtful allocation strategies and data-driven insights.
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Execute weekly and monthly allocation strategies across wholesale partners to support sales targets and inventory efficiency
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Analyze sell-through, inventory levels, and demand signals to inform allocation decisions and identify risks and opportunities
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Partner closely with the Wholesale Planning Manager to support forecasting, inventory planning, and replenishment strategies
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Collaborate cross-functionally with Sales, Operations, and Finance to ensure alignment on inventory availability and partner needs
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Monitor in-season performance and proactively recommend allocation adjustments to maximize revenue and minimize excess inventory
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Support reporting and ad-hoc analysis related to wholesale performance, inventory health, and allocation effectiveness
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Bachelor’s degree in Business, Finance, Economics, Supply Chain, or a related field
1–3 years of experience in allocation, planning, merchandising, or a related analytical role, preferably within wholesale or consumer products -
Strong analytical skills with the ability to interpret data and translate insights into action
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Advanced proficiency in Excel; experience with planning systems, BI tools, or SQL is a plus
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High attention to detail with the ability to manage multiple priorities in a fast-paced environment
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Strong communication skills and comfort partnering cross-functionally
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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 $90,000 - $140,000. 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.
Salary : $90,000 - $140,000