Industrial Analytics Engineer

• Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)
• Location: Pittsburgh, PA | North Reading, MA

Key Skills:

• Greenfield or brownfield project experience (good to have)
• Equipment planning
• Capacity planning
• Labour planning
• CAPEX management (good to have)
• Supplier validation
• Capital investments – ROI, IRR, NPV, and cost-benefit analysis
• Design and maintain OEE models
• Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
• Material planning
• PFMEA
• Lean Manufacturing
• Six Sigma
• Layout planning (good to have)
• Simulation tools experience (not mandatory)
• Strong expertise in Excel
• Knowledge of AI-driven tools (good to have)

Job description:

• 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, labor, 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.