Job description

We're looking for a detail-oriented Fall Intern to support our data governance team in maintaining clean, accurate product data in SAP. This role is ideal for a student who enjoys structured, systematic work and wants hands-on exposure to enterprise data management. No prior SAP experience is required. Beyond SAP, this internship offers exposure to a broad set of tools used in modern supply chain and data operations, including JD Edwards (JDE), SQL, AI tools, Power BI, and several other software systems — giving you a well-rounded foundation across enterprise platforms. What you'll do • Assist with SKU categorization, ensuring products are classified consistently and mapped to the correct hierarchies • Review and validate master data dependencies, identifying gaps or conflicts across related records • Perform parameter checks and support alignment efforts to keep SAP fields accurate and consistent • Document findings and flag data quality issues to the broader team What we're looking for • Currently pursuing a degree in Supply Chain, Business Analytics, Finance, or Data Analytics • Strong attention to detail and comfort working with large sets of structured data • Basic familiarity with Excel • Organized, dependable, and eager to learn new systems and processes Our Culture & Values At Carlisle, our culture is grounded in a shared commitment to our core values: Start with Safety, Focus on Customers, Act with Integrity, Pursue Excellence, Better Every Day, Drive Innovation, and Deliver Results. These values are not just words—they guide our behaviors, decisions, and actions every day. They are the foundation of our business and the reason for our continued success. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact careers@carlisle.com. INFORMATION SECURITY ALERT All applicants for careers with Carlisle will be submitted through this site. Carlisle will not extend job offers without prior in-person or visual correspondence and we will not ask you to provide private personal information for a background check prior to extending a job offer. For more information, please review our Privacy policy.

Requirements

Must-haves

Assist with SKU categorization, ensuring products are classified consistently and mapped to the correct hierarchies
Review and validate master data dependencies, identifying gaps or conflicts across related records
Perform parameter checks and support alignment efforts to keep SAP fields accurate and consistent
Document findings and flag data quality issues to the broader team
Currently pursuing a degree in Supply Chain, Business Analytics, Finance, or Data Analytics
Strong attention to detail and comfort working with large sets of structured data
Basic familiarity with Excel
Organized, dependable, and eager to learn new systems and processes
Our Culture & Values

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlaiaccessibility

Platform: smartrecruiters
Effort: medium