Global Supply Chain & Operations Intern: Impact & Analytics

Nike; Beaverton (OR); On-site; USD 25,000 - 34,000; Full time

Benefits offered by this job

Relocation assistance

10-week paid internship

Job summary

Nike is offering a 10-week Summer Internship in Global Supply Chain & Operations at its Beaverton, OR campus. You’ll work on real business initiatives, with guidance from senior leaders, and own a scoped project to drive impact across Sourcing, Manufacturing and market analytics.

We’re seeking undergraduates with 0–2 years experience, strong data skills (SQL, Tableau, Excel, Power BI) and an interest in AI/ML. In-person program includes relocation support and campus life insights.

Qualifications

• Enrolled in an undergraduate program with an expected graduation date Dec 2027 or Spring 2028.
• Background in Operations, Supply Chain, Logistics, Analytics, Manufacturing, Engineering, AI, Business or related field preferred.
• 0–2 years work experience; resume (PDF) required.

Responsibilities

• Influence Nike’s Sourcing & Manufacturing strategy through metrics, KPIs and evaluation frameworks.
• Optimize processes for geo-distributed forecasts.
• Supplier capability landscaping and partner engagement modeling.
• Data analysis and market research on quality of key apparel, accessories, and footwear styles.
• Tool building (Tableau, Smartsheet, etc.) to automate processes and visualize data.

Skills

Data analysis

SQL

Tableau

Excel

Power BI

Python/R

Machine learning interest

Project management

Cross-functional collaboration

Storytelling

Growth mindset

Ambiguity handling

Education

Undergraduate student

Tools

Tableau

Smartsheet

SQL

Excel

Power BI

Job description

Nike is offering a 10-week Summer Internship in Global Supply Chain & Operations at its Beaverton, OR campus. You’ll work on real business initiatives, with guidance from senior leaders, and own a scoped project to drive impact across Sourcing, Manufacturing and market analytics.

We’re seeking undergraduates with 0–2 years experience, strong data skills (SQL, Tableau, Excel, Power BI) and an interest in AI/ML. In-person program includes relocation support and campus life insights.