Black Rock Solutions INC

Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Contract · In Office · Pittsburgh, Pennsylvania (USA)

Posted Aug 4, 2026

Work Options

In Office

Skills

Excel Tableau Power BI SQL Python

Industry

Research AI Manufacturing Supply Chain Finance

Positions

Job Type

Position Group

Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)
Location: Pittsburgh, PA (Onsite)
Interview: Video
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)
Key Responsibilities
Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, 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

Basic Qualifications
Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles
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

Apply now

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Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Black Rock Solutions INC

Apply now