Industrial Analytics Engineer

Tasks

• Develop integrated industrial engineering models covering capacity, labor, material flow, PFEP, and COGS.
• Build capacity models incorporating cycle time, OEE, yield losses, bottleneck analysis, and forecast planning.
• Develop labor models for headcount optimization, utilization, and labor cost analysis.
• Prepare capital investment business cases using ROI, IRR, NPV, and cost-benefit analysis.
• Design OEE models to improve manufacturing performance and operational efficiency.
• Develop process flow diagrams (PFDs) and value stream maps.
• Build scalable data models and analytics solutions for manufacturing operations.

Requirements

• 10+ years of experience in Industrial Engineering Analytics, Manufacturing Modeling, or Operations Analysis.
• Strong experience in capacity planning, labor modeling, PFEP, material flow, and COGS analysis.
• Hands-on experience with FlexSim, AnyLogic, or Simio.
• Advanced Excel modeling and strong analytical skills.
• Experience with Python, SQL, and Power BI/Tableau.
• Knowledge of OEE, ROI, IRR, NPV, and manufacturing cost optimization.

Schedule

• Onsite

How to apply

• Share your updated resume by email.

Location

• Pittsburgh, PA