Industrial Engineering Intern at Koppers Wood Products Pty Ltd

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

06 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industrial Engineering, Data Analytics, Computer Science, SQL, Power BI, Python, Statistics, Machine Learning, Automation, Collaboration, Documentation, Data Management, Process Optimization, Dashboard Development, Data Integration, Communication

Industry

Chemical Manufacturing

Description

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. Qualifications 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. Experience with Microsoft Azure, Oracle, or cloud-based data platforms preferred Familiarity with PLCs or Ladder Logic preferred Koppers Inc. and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category or characteristic protected by federal law, state or local law. Koppers, headquartered in Pittsburgh, Pennsylvania, is an integrated global provider of treated wood products, wood treatment chemicals and carbon compounds. Its products and services are used in a variety of niche applications in a diverse range of end-markets, including the railroad, specialty chemical, utility, residential lumber, agriculture, aluminum, steel, rubber, and construction industries. With more than 1,800 employees, it serves its customers through a comprehensive global manufacturing and distribution network, with facilities located in North America, South America, Australasia, China and Europe. Koppers is also firmly committed to advancing a Zero Harm culture that places the care and protection of its people, environment and communities above all else. This focused approach empowers employees to ensure safe operations through a heightened awareness of process safety, product safety, environmental stewardship and security. Koppers was established in December 1988 in Pittsburgh, Pennsylvania, and became a publicly-traded company listed on the New York Stock Exchange in 2006. You can view our privacy policy here - http://www.koppers.com/pages/privacy-policy

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Responsibilities

Interns will collect, clean, and integrate data from multiple sources for analysis, develop interactive dashboards, and automate workflows to enhance efficiency in manufacturing operations. They will also collaborate with various teams to deliver actionable insights and present findings to stakeholders.