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.

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

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.