Industrial Engineering Intern

Koppers • Pittsburgh, PA

18d

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. 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.

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