Industrial Engineering Analytics Engineer

• Posted 1 day ago • Updated 3 minutes ago
Contract Independent
Contract Corp To Corp
Contract W2
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Job Details

Skills

  • capacity planning
  • industrial
  • Labor

Summary

Job Description:
Role: Industrial Engineering Analytics Engineer

Location Pittsburgh, PA [Onsite]

Duration: Long Term Contract

Key areas to focus

  1. IE background in greenfield
  2. Capacity Planning
  3. Labor planning

  • 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)

Best Regards,
Prateek Srivastava
Excelon Solutions
Phone:

Mailto:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1d9589
  • Position Id: 2026-28151
  • Posted 1 day ago
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