Merchandising COE Co-op: Data-Driven Retail Innovator

Hershey Company; Hershey (PA); On-site; USD 15,000 - 27,000; Full time

Job summary

The Hershey Company invites students to join the Future Opportunity Merchandiser COE Co-op (Spring 2027) in Hershey, PA. You will work 30-40 hours per week across marketing, sales, retail, and finance disciplines, gaining exposure to top management and hands-on data analytics projects.

This six-month program focuses on merchandising insights and retail solutions. Ideal candidates are data-driven, collaborative leaders with internship experience and demonstrated drive for results while pursuing a

Qualifications

• Experience with Excel and PowerPoint in the workplace, long-term project or internship.
• At least one previous internship.
• Held a leadership role within an organization, club or school.
• Data analytics in a previous job, internship, or school project.
• College Junior or Senior with a focus on business or related field.
• Before starting a FT Co‑Op, you must have completed your sophomore year with a GPA of 3.0 or better.

Responsibilities

• Analyze data to develop selling stories, merchandising principles and insights.
• Manage the weekly display inventory report.
• Oversee Merchandising Magic website enhancements and AR display library.
• Lead qualitative and quantitative research to spark new merchandising ideas.
• Collaborate with Marketing, Sales, Supply Chain and other teams.

Skills

Data analytics

Leadership experience

Collaboration

Communication

Drive for results

Education

Sophomore year GPA 3.0+

College Junior or Senior

B.A./B.S. candidate

Tools

Microsoft Excel

PowerPoint

Job description

The Hershey Company invites students to join the Future Opportunity Merchandiser COE Co-op (Spring 2027) in Hershey, PA. You will work 30-40 hours per week across marketing, sales, retail, and finance disciplines, gaining exposure to top management and hands-on data analytics projects.

This six-month program focuses on merchandising insights and retail solutions. Ideal candidates are data-driven, collaborative leaders with internship experience and demonstrated drive for results while pursuing a