Industrial Engineering Analytics Engineer

Job Description:

• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
• Develop integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
• Development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization
• Build capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis
• Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems
• Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
• COGS (cost of goods sold) modeling, including labor, overhead, scrap, and process-driven cost components
• Design OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement
• Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
• Design scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics
• FlexSim, Anylogic, Simio
• Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau)