| Job Description (Posting). | | SR Number: | ERS/ERS/2026/2826066 | | BR Number: | 1654498BR | | Job Title: | Industrial Engineering Analytics Engineer | | Hiring Mode: | Contract -TP | | Location: | Pittsburgh, PA [Onsite] | | Customer: | Amazon | | Total No. Of Positions: | 1 | | Bill Rate: | - Bill rate should be aligned with current market standards.
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| ERS/ERS/2026/2826066 | | IE background in greenfield | | Capacity Planning | | Labor planning |
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)
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