Lake Forest Brand%2C Online Experience And Assortment Intern Il

Grainger · LAKE FOREST, IL, US, 60045-5202 · The anticipated base pay compensation range for this position is $24.00/hr and $27.00/hr.

  • Paid
  • Internship

About the role

About Grainger

W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working® by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit www.grainger.com.

Position Details

During the 10-week paid internship, there is an opportunity to further explore your career options while simultaneously gaining intensive, hands-on experience. You will be part of a structured experience that combines learning about our business, contributing to your department, and having fun. Each intern will have a meaningful project that contributes to the Grainger business and will provide a formal presentation to leaders and fellow team members at the end of the program. The summer schedule is filled with professional development sessions, executive learning sessions, and social events to connect with other interns. All interns are afforded the opportunity to directly learn how the best-in-class supply chain organization operates!

You Will

We are looking for students who have a strong interest in continuous learning, great communication skills, and a passion to contribute to an outstanding team. The below information demonstrates what skills are vital to succeed in the internship program. As an intern, you could potentially be placed in one of the following areas:

Brand, Online Experience and Assortment

  • Grainger Global Supply Engineering: Support development of cost models and data-driven insights for private label negotiation discussions, gaining exposure to global sourcing to the organization
  • Merchandising & Supplier Management Operations: Learn the work that supports supplier contracts, product cost changes, reporting and analytics, customer-specific solutions, product lifecycle transitions, or product compliance.
  • Product Information & Search: Define and manage internal product taxonomy, attribute schema, product classification and search results to ensure customers can find, select, and confirm product selections.
  • Supplier Management: Determine product category strategy by selecting products and suppliers, negotiating product cost, and managing the accuracy of product information for items sourced domestically and internationally.
  • Marketing: Marketing provides hands-on experience in data analysis, customer feedback review, and cross-functional collaboration to improve customer experience and support strategic initiatives. This role involves working with managers and stakeholders to drive improvements and deliver impactful insights across the organization

You Have

  • Minimum cumulative GPA of 3.0
  • No visa sponsorships now or in the future.
  • Currently enrolled in a college or University, working towards a bachelor's degree in Supply Chain Management, Operations Management, Industrial Engineering, Business, Business Analytics, Marketing, Economics, Mathematics, Statistics, Informatics, or related majors.
  • Intermediate level of expertise in MS Office is required (especially formulas, pivot tables, or data analysis).
  • Proven communication (written / verbal), interpersonal and leadership skills.
  • Proven analytical skills including an ability to synthesize information, reach logical conclusions, evaluate and improve processes.
  • Expected graduation between December 2027 – June 2028.

Preferred (Not Required)

  • Academic or internship experience working with data sets, analytics, or business intelligence
  • Exposure to tools such as SQL, Python, R, Power BI, or Tableau
  • Coursework or project experience in analytics, statistics, data science, or information systems

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