Analytics Engineer Co-op: Build Dashboards & Insights

KION Group

Grand Rapids (MI)

On-site

USD 26,000 - 32,000

Part time

5 days ago
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Benefits offered by this job

Competitive pay
Pay transparency
Global opportunities

Job summary

KION Group, through Dematic’s Digital Solutions Software team, offers a 2027 co-op focused on analytics and dashboards for warehouse systems. You will work with engineers and analysts to turn data into practical solutions using SQL, Python, and visualization tools.

You will gain experience with modern data architectures, cloud platforms, and large-scale automation while contributing to real customer challenges and production data.

Qualifications

  • Pursuing a bachelor’s degree at Kettering University in a technical field.
  • Interest in data analytics, problem solving, and learning new technologies.

Responsibilities

  • Collaborate with engineers and analysts to translate problems into analytics solutions.
  • Design, build, test, and improve dashboards and reports.
  • Query and analyze data using SQL, BigQuery, or SQL Server.
  • Use Power BI, Tableau, or Looker to generate actionable insights.
  • Learn data movement through warehouse systems and improve operations.
  • Assist with testing and validation of analytics solutions.
  • Participate in requirements, design sessions, and solution reviews.
  • Document findings for technical and non-technical stakeholders.
  • Collaborate with a multidisciplinary team and take ownership of tasks.

Skills

SQL
Python
Power BI
Tableau
Looker
Relational databases

Education

Bachelor's degree

Tools

Google BigQuery
Microsoft SQL Server

Job description

KION Group, through Dematic’s Digital Solutions Software team, offers a 2027 co-op focused on analytics and dashboards for warehouse systems. You will work with engineers and analysts to turn data into practical solutions using SQL, Python, and visualization tools.

You will gain experience with modern data architectures, cloud platforms, and large-scale automation while contributing to real customer challenges and production data.

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