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Industrial Engineering Analytics Engineer

Talent GroupsPittsburgh, PA🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

This hybrid role offers significant career growth by allowing you to leverage your expertise in industrial analytics and simulation tools to drive impactful process optimization. You'll thrive here if you're a mid-senior professional eager to contribute to a reputable company while enjoying a flexible work environment. Apply today to advance your skills and make a real difference!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Pittsburgh, PA, United States
Posted
22 hours ago
SQLTableauPower BIPython

Job Description

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

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