Industrial Engineering Analytics Engineer

Pittsburgh, PA, US • Posted 2 days ago • Updated 2 days ago
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Analytics
  • Industrial Engineering
  • Manufacturing
  • Modeling
  • Python
  • FlexSim
  • Capacity modeling

Summary

Industrial Analytics Engineer/Lead

Must-Have Skills

  • Capacity modeling (OEE, cycle time, bottleneck analysis)
  • Labor and cost modeling (COGS, LOH, ROI/NPV/IRR)
  • Manufacturing analytics & process optimization
  • Simulation tools (FlexSim / AnyLogic / Simio)
  • Data analytics: Excel (advanced), SQL, Python, BI tools (Power BI/Tableau)
  • PFEP and material flow modeling
  • Scenario analysis, sensitivity modeling, and forecasting
  • AI/ML-based analytics (preferred)


Must-Have Experience

  • 7+ years in industrial engineering analytics/ manufacturing modeling
  • Experience building end-to-end IE models (capacity + labor + cost)
  • Strong exposure to factory operations, throughput optimization, and cost analysis
  • Experience with business case development and financial modeling
  • Hands-on work integrating shop-floor data, MES, and analytics systems
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: 91099677
  • Position Id: 8996438
  • Posted 2 days ago
Contact the job poster
SD

Srinath Deekonda

Delivery Manager - Recruitment @ Talent Groups
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