Manufacturing Data & IT Analytics Intern (Spring 2027)

Sotalent; Milford Center (OH); On-site; USD 21,000 - 30,000; Part time

Job summary

Sotalent in Milford Center, OH offers Spring 2027 Information Technology and Data Analytics Student Opportunities, a co-op/internship program running January through April/May. Candidates are pursuing degrees in IT fields and gain hands-on experience in a high-tech manufacturing environment.

Roles span Project and IT Service Management, Manufacturing Analytics, Data Science and Systems Modeling, and BI communication, with emphasis on translating findings into dashboards and actionable insights.

Qualifications

• Currently enrolled in a Bachelor's or Master's program in Information Technology, Computer Science, or closely related field.
• Sophomore standing or higher by credit hour.
• Minimum GPA 2.5 with transcript available for review.
• Able to work full-time (40 hours/week) for at least 10 weeks.
• Authorized to work in the United States without current or future visa sponsorship.
• Valid US driver license and reliable transportation to the work site.

Responsibilities

• Support project planning by tracking milestones, schedules, and budgets.
• Liaise with business partners to define system and data requirements.
• Create and maintain dashboards and reporting tools for plant-level decision making.
• Develop machine learning models, simulations, and computational models to predict system performance.
• Translate analytical findings into clear dashboards and present insights to leadership.

Skills

Data analysis

Communication

Team collaboration

Education

Bachelor's or Master's in IT/CS

Job description

Sotalent in Milford Center, OH offers Spring 2027 Information Technology and Data Analytics Student Opportunities, a co-op/internship program running January through April/May. Candidates are pursuing degrees in IT fields and gain hands-on experience in a high-tech manufacturing environment.

Roles span Project and IT Service Management, Manufacturing Analytics, Data Science and Systems Modeling, and BI communication, with emphasis on translating findings into dashboards and actionable insights.