Nike’s Supply Chain team ensures that every year 1.4 billion pieces of footwear, apparel, and equipment arrive at the right destination on time. That’s no easy task. The complex process involves more than 70 distribution centers, a network of thousands of accounts, and more than 100,000 retail stores around the world. Supply Chain analytics professionals constantly push for ways to make Nike’s supply chain faster, more efficient and more responsive to Nike’s always-changing consumer needs.

As an analytics professional in Nike’s Supply Chain, you will play a lead role on a team of cross-functional partners and analytics professionals to identify, scope, suggest new opportunities, and execute high-impact analytics projects. 

Applied Analytics in Supply Chain, Planning and Sustainability

We have recently brought together our three teams that support our Chief Supply Chain officer.  This creates opportunities for new interns to support this newly formed team.

As an applied analytics professional in Nike’s Supply Chain, you will play a lead role on a team of cross-functional partners and analytics professionals to identify, scope, suggest new opportunities, and execute high-impact analytics projects. 

You are an awesome teammate and analytics evangelist who is ambitious and unconventionally curious. You thrive in a dynamic work environment and are always asking questions, continually learning and excited by the challenge of building something from the ground up.

You will be an analytics advocate who can not only describe the software products we build but also explain its value, how it works, how it is adopted and speak to upcoming changes. You will write and refine stories for clarity, business value and acceptance criteria, and assist with analysis to determine how features are performing and the level of customer happiness. You’ll understand the Product Roadmap, call out and remove roadblocks, triage defects and provide clarity to customers on issues when appropriate.

You will work with your teammates to translate any internal “enablers” into valuable stories with mentorship from the Product Owner. You’ll also assess and provide input to the Product Owner on impact to business partners’ current processes and their current use of the Product. You’ll also work directly with customers to capture details of feature requirements, understand use cases, test hypotheses, and share results.

Qualifications

Requirements for this position include:

• Current graduate student with an Engineering Master’s Degree and/0r MBA with heavy emphasis on quantitative and operations research topics, with an anticipated graduation date of Spring 2026
• 3-5 years of relevant experience
• Strong quantitative and analytics background, with experience in data engineering, statistical modeling, optimization and visualization
• Good understanding of Agile principles and methodologies and how they’re applied in work culture
• Strong ability to solve complex problems and take a new perspective on existing solutions
• Strong collaboration skills with a demonstrated ability of working well within a team
• Demonstrated ability to work well with internal and external customers

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.