Industrial Engineering Analytics Engineer

Industrial Engineering Analytics Engineer

Location: Pittsburgh, PA - Onsite



Type: Contract

Position Overview

We are seeking an Industrial Engineering Analytics Engineer to develop integrated models connecting capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations. Approximately 70% of the role focuses on capacity and labor/overhead models; 30% on scrap and cost models.

Key Responsibilities

• Develop integrated IE models linking capacity, labor, material flow, PFEP, and COGS to support factory planning and operations
• 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 overhead cost across production systems
• Create and evaluate business cases for capital investments including ROI, IRR, NPV, and cost-benefit analysis
• Perform COGS modeling covering 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 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

Required Qualifications

• 7+ years in industrial engineering analytics, manufacturing modeling, or operations analysis
• Simulation tools: FlexSim, AnyLogic, or Simio
• Data analysis tools: advanced Excel modeling, Python, SQL, and Power BI or Tableau