Software Analytics Co-op

KION • Grand Rapids, MI

17h

About The Position

This 2027 Kettering University co-op opportunity is with Dematic’s Digital Solutions Software team. The co-op works alongside software engineers, data analysts, and other technical team members to develop analytics solutions for warehouse automation systems. The role includes building and improving dashboards and reports, analyzing data, testing solutions, and solving technical problems using tools such as SQL, Python, data visualization platforms, and cloud technologies. The co-op applies classroom learning to large-scale automated distribution and manufacturing environments and contributes to solutions used by customers.

The position provides hands-on experience with production data, analytics, cloud and data technologies, and software generated by automated warehouse systems. It also offers mentorship, collaboration with experienced professionals, and ownership of meaningful projects through the solution lifecycle, from problem definition to development, testing, validation, and delivery.

Requirements

• Currently pursuing a bachelor’s degree at Kettering University, preferably in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a related technical field.
• Basic experience with SQL and relational databases.
• Strong problem-solving skills and willingness to investigate unfamiliar technical challenges.
• Good written and verbal communication skills, including the ability to explain technical ideas clearly.
• Experience working on team-based programming, engineering, or analytics projects through coursework, extracurricular activities, or previous co-op assignments.
• Curiosity and willingness to learn, experiment, ask questions, and build solutions to real problems.

Nice To Haves

• Experience with or interest in Python for data analysis, automation, or application development.
• Familiarity with data visualization tools such as Power BI, Tableau, or Looker.
• Exposure to cloud technologies, data engineering, APIs, or modern software development.
• Interest in automation, robotics, material handling equipment, manufacturing, logistics, or supply chain technology.

Responsibilities

• Work with engineers, analysts, and business partners to understand problems and turn them into practical analytics solutions.
• Help design, build, test, and improve dashboards, reports, and other data-driven applications.
• Query and analyze data using technologies such as SQL, Google BigQuery, or Microsoft SQL Server.
• Use data visualization tools such as Power BI, Tableau, or Looker to turn data into useful insights.
• Learn how data moves through automated warehouse and material handling systems and how it can be used to improve operations.
• Assist with testing and validating analytics solutions to ensure results are accurate and ready for customer use.
• Participate in requirements discussions, technical design sessions, troubleshooting, and solution reviews.
• Document solutions and communicate findings to technical and non-technical team members.
• Collaborate with a multidisciplinary engineering team while taking ownership of individual assignments.
• Gain exposure to cloud platforms, modern data architectures, and large-scale industrial automation systems.

Benefits

• Competitive pay and benefits
• Pay transparency
• Global opportunities
• Mentorship and collaboration with experienced software, analytics, and automation engineers
• Meaningful project ownership

What This Job Offers

• Job Type: Full-time
• Career Level: Intern