Benefits:
Competitive salary
Opportunity for advancement
Training & development
Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)
Location: Pittsburgh, PA (Onsite)
Required 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)
JD:
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 decisionmaking 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.
Role Overview:
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.
Preferred Qualifications
Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and material flow
Proficiency in capacity modeling, 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 modeling, cost structures, and financial impact analysis
Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or similar)
Familiarity with AI/ML applications in manufacturing analytics (preferred)
Familiarity with lean manufacturing and continuous improvement methodologies
Key Skills & Competencies
Strong analytical and problem-solving skills with a data-driven mindset
Ability to build scalable models and analytics systems that support both tactical and strategic decisions
Strong communication skills to translate complex data into actionable insights
Ability to work across cross-functional teams and influence decision-making
Attention to detail with a systems-level understanding of manufacturing operations
Ability to manage multiple projects and priorities in a fast-paced environment