Analytics Intern — 12-Week IT & Data Projects

The Marzetti Company; Columbus (OH); On-site; USD 25,000 - 34,000; Full time

Job summary

The Marzetti Company invites students to join its 2027 Summer Internship Program as Analytics Interns. This 12-week program offers hands-on data work, ETL support, and exposure to business analytics across teams.

You’ll design data models, build reports, and collaborate with colleagues to meet consumer needs while developing skills beyond your resume. Potential for future part-time or full-time opportunities based on performance.

Qualifications

• Currently enrolled in an accredited undergraduate program with a focus in CS, MIS, Analytics, or Math.
• Proficiency in Microsoft Office, especially Excel.
• Basic SQL knowledge and understanding of relational databases.
• Strong teamwork and collaboration skills.
• Excellent communication and interpersonal abilities.
• Independent and team work capability; adaptable and resourceful.

Responsibilities

• Review requirements from consumers and build designs based on requirements.
• Build data models and reports to meet consumer needs.
• Assist with building basic ETL, as well as processes to move and store data.
• Collaborate with team members to understand data needs, troubleshoot issues, and support ongoing projects.
• Participate in team meetings, project discussions, and planning sessions to share updates and contribute ideas.

Skills

Teamwork

Communication

Interpersonal skills

Relationship building

Adaptability

Independent work

Education

Undergraduate program focus in CS/MIS/Analytics/Math

Tools

SQL

Excel

Job description

The Marzetti Company invites students to join its 2027 Summer Internship Program as Analytics Interns. This 12-week program offers hands-on data work, ETL support, and exposure to business analytics across teams.

You’ll design data models, build reports, and collaborate with colleagues to meet consumer needs while developing skills beyond your resume. Potential for future part-time or full-time opportunities based on performance.