Industrial Engineering Analytics Engineer
6 - 10 years
Pittsburgh, PA
Contract
Remote
1 month ago
About the role
Job Title : Industrial Engineering Analytics Engineer
Location: Pittsburg, PA
Job Type :Fulltime/c2c
Salary : $90k- $130k
Key Responsibilities
AI & Data Systems
Location: Pittsburg, PA
Job Type :Fulltime/c2c
Salary : $90k- $130k
Key Responsibilities
- Develop and own integrated IE models that connect capacity, labor, material flow, PEFP, and cost (COGS) to support factory planning and operations
- Build and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis
- Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems
- Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
- Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components
- Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities
- Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement
- Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow
- Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
- Integrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strategies
- Support factory layout, site planning, and material flow decisions through data-driven insights and modeling
- Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans
- Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance
- Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
- Collaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance,
- Engineering) to align models with real-world constraints and business needs
- Translate complex analytical outputs into clear, executive-level insights and recommendations
- Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making
AI & Data Systems
- Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making
- Design and manage scalable data models and data architecture for IE, capacity, labor, PFEP,and cost analytics
- Develop standardized systems, frameworks, and governance for data modeling, analytics, and reporting
- Automate data collection, validation, and reporting pipelines using AI and advanced analytics tools
- Enable predictive analytics and intelligent decision-making for capacity, throughput, and cost optimization
- Establish best practices for data quality, model standardization, and system integration across the organization
Skills
ManufacturingInformation Technology