Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

BURGEON IT SERVICES LLC

Pittsburgh, PA, United States

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Failure Mode Effects Analysis Python (Programming Language) Machine Learning Operational Databases Power BI SQL Databases Tableau (Software)

Job description

We are looking for an experienced Industrial Engineering Analytics Engineer with 7+ years of manufacturing/industrial engineering experience to develop analytical models that improve manufacturing efficiency, capacity planning, labor optimization, and production cost. The ideal candidate should have strong Industrial Engineering fundamentals and experience supporting large-scale manufacturing operations.

Requirements

7+ years of Industrial Engineering/Manufacturing Analytics experience
Capacity Planning
Equipment Planning
Labor Planning
Material Planning
OEE (Overall Equipment Effectiveness) Modeling
Manufacturing Cost (COGS) Modeling
ROI, IRR, NPV & Cost-Benefit Analysis
PFMEA
Lean Manufacturing
Six Sigma
Advanced Microsoft Excel
Experience with production data analysis and manufacturing modeling
Strong communication and stakeholder management skills

Preferred Skills

Greenfield/Brownfield manufacturing projects
CAPEX management
Supplier validation
Factory layout planning
Simulation tools (FlexSim, AnyLogic, Simio)
Python, SQL, Power BI, or Tableau
AI/ML applications in manufacturing analytics, Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related engineering discipline.