Industrial Engineering Analytics Engineer (Pittsburgh, PA, 15231) | 10/05/26 Job Description Role- Industrial Engineering Analytics Engineer || Pittsburgh , PA

Capacity Models

Labor and overhead model 30% focus Scrap Model

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) Industrial Engineering Analytics Engineer1Industrial Engineering Analytics Engineer ContractUnited States