Back to search
Benefits:
- Competitive salary
- Opportunity for advancement
- Training & development
Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)
Location: Pittsburgh, PA (Onsite)
Â
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
- PFMEAÂ
- Lean ManufacturingÂ
- Six SigmaÂ
- Layout planning (good to have)
- Simulation tools experience (not mandatory)
- Strong expertise in Excel
- Knowledge of AI-driven tools (good to have)
Â
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.
 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.
Â
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.
Â
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
Â
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
Learn more about this Employer on their Career Site
