Industrial Engineering Analytics Engineer

Job : Industrial Engineering Analytics Engineer 
Location :  Pittsburgh, PA  
  
  
70% focus on 

1.  Capacity Models

2.  Labor and overhead model

30% focus 

1.  Scrap Model

2.  Cost Model

  
 
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)