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Industrial Engineering Analytics Engineer Pittsburgh, PA (Onsite) for Fulltime or contract
BURGEON IT SERVICES LLCPittsburgh, PA🇺🇸United StatesPosted 4 Aug 2026
Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
Job Title: Industrial Engineering Analytics Engineer
Location: Pittsburgh, PA (Onsite)
Job type:Contract/fulltime
Please share the resume with me at pranayatburgeonitsdotcom
Job Summary
We are looking for an experienced Industrial Engineering Analytics Engineer with 7+ years of experience in manufacturing and industrial engineering. The ideal candidate should have strong expertise in capacity planning, labor and material planning, OEE modeling, manufacturing analytics, and Lean principles to improve factory performance and support data-driven decision-making.
Mandatory Skills
Location: Pittsburgh, PA (Onsite)
Job type:Contract/fulltime
Please share the resume with me at pranayatburgeonitsdotcom
Job Summary
We are looking for an experienced Industrial Engineering Analytics Engineer with 7+ years of experience in manufacturing and industrial engineering. The ideal candidate should have strong expertise in capacity planning, labor and material planning, OEE modeling, manufacturing analytics, and Lean principles to improve factory performance and support data-driven decision-making.
Mandatory Skills
- 7+ years of Industrial Engineering / Manufacturing Analytics experience
- Bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations Research, or related field
- Capacity Planning & Equipment Planning
- Labor Planning & Material Planning
- OEE (Overall Equipment Effectiveness) Modeling
- PFEP (Plan for Every Part)
- PFMEA
- Lean Manufacturing & Six Sigma
- Manufacturing Cost (COGS) Modeling
- Business Case Analysis (ROI, IRR, NPV, Cost-Benefit Analysis)
- Strong Advanced Microsoft Excel skills
- Experience with cross-functional manufacturing operations
- Greenfield/Brownfield manufacturing projects
- CAPEX planning
- Factory simulation tools (FlexSim, Simio, AnyLogic)
- Python, SQL, Power BI, or Tableau
- AI-driven manufacturing analytics
- MES integration
Skills
SQL
Tableau
Microsoft Excel
Power BI
Python
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