Purchasing Aftersales Intern - Summer 2027 - Franklin, TN

Nissan•Franklin, TN

3d•Onsite

About The Position

This internship offers an opportunity to work on automation and analytics initiatives that improve efficiency, streamline workflows, and support data-driven decision-making. We are seeking a self-motivated, fast learner who is interested in leveraging technology and analytics to solve business challenges. Aftersales Purchasing is responsible for supporting Nissan's service parts business, accessories, service lane products, second-line parts, and motorsports activities.

Requirements

Must be currently enrolled in an undergraduate or graduate degree program in Computer Science, Data Science, Data Analytics, Information Systems, or a related field.
Students entering their Junior or Senior year at the start of the upcoming academic term.
Working knowledge of Python programming and its application to automation and data analysis.
Experience with Power BI and data visualization tools.
Strong analytical and problem-solving skills.
Highly organized with strong attention to detail and the ability to manage multiple priorities.
Strong interpersonal and communication skills with the ability to collaborate effectively across teams.
Interest in process automation, business analytics, and continuous improvement.
GPA of 3.0 or above (Candidates will be required to provide an official or unofficial transcript during the application process for verification.)
Ability to perform work onsite at Franklin, TN.
Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.

Responsibilities

Develop process automation solutions that improve efficiency and reduce manual administrative work.
Build and enhance data analytics tools that support reporting, forecasting, and business decision-making.
Create automated reporting solutions that simplify data collection, analysis, and presentation processes.
Analyze business data to identify trends, opportunities, and process improvement recommendations.
Collaborate with Purchasing team members to support technology-driven initiatives and workflow enhancements.