The Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling) will focus on capacity modeling (OEE, cycle time, bottleneck analysis), labor & cost modeling (COGS, LOH, ROI, NPV, IRR), manufacturing analytics & process optimization. This role requires expertise in simulation tools such as FlexSim, AnyLogic, or Simio, along with advanced skills in Excel, SQL, Python, and Power BI/Tableau. The engineer will also be involved in PFEP, material flow modeling, forecasting & scenario analysis. Experience with AI/ML-based analytics is preferred. The ideal candidate will have strong technical Subject Matter Expertise (SME) with hands-on manufacturing analytics and modeling experience, and a background in developing business cases, integrating shop-floor data, and understanding factory operations.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed