Supply Chain Logistics Analyst Intern

Internship opportunity within the Supply Chain team to contribute to the design, development, and execution of continuous improvement initiatives aimed at enhancing overall supply chain processes and strategy. The intern will support real-world projects focused on improving inventory management, increasing data visibility, and driving process efficiency across the production facility. This role involves significant data entry responsibilities, including maintaining accurate item card information within the ERP system. This position is for a Full-Time Summer Intern. Ideal candidates would have the ability to work Part-Time during school semesters.

What you will do:

Assist in the collection, analysis, and reporting of logistics and inventory data to support planning and decision-making. Maintain and update item card information in the ERP system through accurate and timely data entry. Collaborate with cross-functional teams to identify and implement supply chain process improvements. Support the review of supplier processes and contribute to identifying areas for optimization. Participate in continuous improvement initiatives aligned with Lean Manufacturing principles. Prepare and present findings and recommendations based on data analysis. Perform other duties as assigned.

What we are looking for:

Currently pursuing a Bachelor's degree in Supply Chain, Operations, Industrial Engineering, Logistics, Business, or a related technical field. Junior or Senior standing preferred. Proficiency in Microsoft Office Suite, with intermediate to advanced skills in Excel. Familiarity with ERP systems and data entry best practices. Exposure to SQL or data analysis tools is a plus. Strong analytical and problem-solving skills. Excellent written and verbal communication abilities. Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. Strong interpersonal skills and the ability to work collaboratively in a team setting.

Additional Characteristics:

Energetic, detail-oriented, and eager to learn. Comfortable working with large datasets and drawing insights from data. Willingness to gain knowledge of Lean Manufacturing and Supply Chain concepts (e.g., Kanban).