Industrial Engineering Intern

Koppers Inc. • Pittsburgh, PA

27d

About The Position

Our internship is designed to provide aspiring data and industrial engineers with practical experience turning data into actionable insights. Participants will gain exposure to real-world datasets, manufacturing operations, and process optimization to better understand how digital tools drive business and engineering decisions.

Requirements

• Pursuing a bachelor’s degree in Industrial Engineering, Data Analytics, Computer Science, or related field.
• Proficiency in SQL and database management
• Skilled in Power BI (or similar visualization tools) for dashboards and reporting.
• Experience with Python for data analysis, automation, and machine learning.
• Strong foundation in statistics and applied data science methods.
• Effective communicator with ability to translate technical findings into business insights.
• Self-motivated, able to manage multiple projects, and collaborative in team environments.

Nice To Haves

• Experience with Microsoft Azure, Oracle, or cloud-based data platforms preferred
• Familiarity with PLCs or Ladder Logic preferred

Responsibilities

• Collect, clean, and integrate data from multiple sources for analysis.
• Develop interactive dashboards and reports in Power BI (or similar tools).
• Query and manage databases using SQL for reporting and analysis.
• Apply Python and statistical/machine learning methods to predict setpoints, optimize processes, and improve decision-making.
• Automate repetitive tasks and workflows to increase efficiency in manufacturing operations.
• Maintain and manage Power BI workspaces, data pipelines, and user access.
• Collaborate with engineering, operations, and business teams to deliver actionable insights.
• Document processes and present findings to both technical and non-technical stakeholders.

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees