Senior Analyst, Reverse Logistics

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

As a Senior Analyst, Reverse Logistics at WHOOP, you will manage and optimize the reverse logistics network supporting our global membership base, improving the efficiency, cost structure, and member experience of returns while partnering with 3PLs and cross-functional teams to drive scalable processes and operational improvements

The ideal candidate has experience in supply chain operations, logistics, or reverse logistics, strong analytical skills, and a bias for action in solving operational challenges.

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:

• Own reverse logistics processes across customer returns, 30-day trial returns, and wholesale returns, ensuring consistent and scalable workflows

• Collaborate with third party logistics providers responsible for returns processing to ensure efficient handling and disposition of returned products

• Partner with internal teams including Membership Services, Manufacturing, Hardware, and Product to resolve operational issues impacting the returns experience

• Identify opportunities to improve reverse logistics processes, reduce operational costs, and increase recovery of usable inventory

• Analyze returns and reverse logistics data to identify operational issues and improvement opportunities

• Support financial reconciliation and reporting of reverse logistics costs with the goal of improving gross margins while maintaining a strong member experience

QUALIFICATIONS:

• Bachelor's degree or higher in Business Administration, Operations, Supply Chain or a related field

• 3-4 years of experience in Supply Chain, Logistics, Operations, or Business Operations

• Experience with reverse logistics in a consumer good environment a must

• Strong communication and presentation skills

• Strong Microsoft Excel skills

• Ability to work autonomously in a fast-paced startup-like environment

• Strong experience and 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.

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 $115,000 - $150,000. 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.