Industrial Engineering Analytics Engineer

Pittsburgh, PA, US • Posted 13 hours ago • Updated 13 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • IE models
  • capacity modelling
  • OEE analysis
  • PFEP
  • Artificial Intelligence
  • simulation tools
  • FlexSim
  • Excel advanced
  • industrial engineering analytics
  • OEE
  • NPV
  • Microsoft Power BI
  • Machine Learning (ML)
  • COGS

Summary

 

Industrial Engineering Analytics Engineer (Manufacturing Systems & Modelling)

Location: Pittsburgh, PA

Onsite

  • The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.
  • This role is responsible for building and managing integrated IE models that connect capacity, labour, material flow, PFEP, and cost (COGS) to enable data-driven decision making across factory and site operations.
  • The ideal candidate will combine strong industrial engineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support large-scale manufacturing environments.

Basic Qualifications

Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field 7+ years of experience in industrial engineering analytics, manufacturing modelling, or operations analysis

Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles

 

Preferred Qualifications

  • Experience building end-to-end IE models integrating capacity, labour, cost, PFEP, and material flow
  • Proficiency in capacity modelling, OEE analysis, cycle time studies, and line balancing
  • Hands-on experience with PFEP, material flow optimization, and warehouse integration
  • Experience with factory simulation tools (e.g., FlexSim, AnyLogic, Simio)
  • Strong experience in business case development (ROI, IRR, NPV)
  • Knowledge of COGS modelling, cost structures, and financial impact analysis
  • Experience with data analysis tools (Excel advanced modelling, Python, SQL, Power BI/Tableau, or similar)
  • Familiarity with AI/ML applications in manufacturing analytics (preferred)
  • Familiarity with lean manufacturing and continuous improvement methodologies
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: 91115415
  • Position Id: 8997308
  • Posted 13 hours ago
Contact the job poster
Ranjith Thei

Ranjith Thei

Recruiter @ Teksoft Systems Inc
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