Industrial Engineering Analytics Engineer

ClinDCastPittsburgh, AL

About The Position

The Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling) will focus on capacity modeling (OEE, cycle time, bottleneck analysis), labor & cost modeling (COGS, LOH, ROI, NPV, IRR), manufacturing analytics & process optimization. This role requires expertise in simulation tools such as FlexSim, AnyLogic, or Simio, along with advanced skills in Excel, SQL, Python, and Power BI/Tableau. The engineer will also be involved in PFEP, material flow modeling, forecasting & scenario analysis. Experience with AI/ML-based analytics is preferred. The ideal candidate will have strong technical Subject Matter Expertise (SME) with hands-on manufacturing analytics and modeling experience, and a background in developing business cases, integrating shop-floor data, and understanding factory operations.

Requirements

  • 7+ years in industrial engineering analytics/manufacturing modeling
  • Expertise in capacity, labor, and cost modeling
  • Strong factory operations, throughput optimization, and cost analysis experience
  • Experience with MES, shop-floor data integration, and business case development
  • Strong technical SMEs with hands-on manufacturing analytics and modeling expertise
  • Advanced Excel, SQL, Python, Power BI/Tableau
  • Capacity modeling (OEE, cycle time, bottleneck analysis)
  • Labor & cost modeling (COGS, LOH, ROI, NPV, IRR)
  • Manufacturing analytics & process optimization
  • Simulation tools: FlexSim, AnyLogic, or Simio
  • PFEP, material flow modeling, forecasting & scenario analysis

Nice To Haves

  • AI/ML-based analytics

Responsibilities

  • Capacity modeling (OEE, cycle time, bottleneck analysis)
  • Labor & cost modeling (COGS, LOH, ROI, NPV, IRR)
  • Manufacturing analytics & process optimization
  • Utilizing simulation tools: FlexSim, AnyLogic, or Simio
  • Advanced Excel, SQL, Python, Power BI/Tableau
  • PFEP, material flow modeling, forecasting & scenario analysis
  • AI/ML-based analytics (preferred)
  • Factory operations, throughput optimization, and cost analysis
  • MES, shop-floor data integration, and business case development
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service