Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling) 
Location: Pittsburgh, PA (Onsite)
Experience: 8 to 10 Years

Role Summary 
Client is seeking an experienced Industrial Engineering Analytics Engineer to develop and manage advanced analytical models that drive manufacturing efficiency, capacity planning, operational performance, and cost optimization.

This role will build integrated Industrial Engineering (IE) models connecting capacity, labor, material flow, PFEP, OEE, yield, and COGS to enable data-driven decision-making across factory operations. The ideal candidate combines strong industrial engineering fundamentals with expertise in analytics, simulation modeling, financial analysis, and AI-enabled manufacturing systems.

Key Responsibilities 
Industrial Engineering Analytics & Modeling

Develop and maintain integrated IE models that connect:

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Capacity Planning
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Labor Planning
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Material Flow
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PFEP (Plan for Every Part)
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Cost of Goods Sold (COGS)
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Build and manage capacity models incorporating:

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Target vs. Forecast Capacity
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Cycle Time
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OEE
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Yield Losses
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Bottleneck Analysis
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Develop labor models to optimize:

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Headcount Planning
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Labor Utilization
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Labor Overhead (LOH)
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Workforce Productivity
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Lead COGS modeling, including:

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Direct Labor
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Manufacturing Overhead
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Scrap Costs
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Process-Driven Cost Components
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Create and evaluate business cases using:

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ROI
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IRR
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NPV
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Cost-Benefit Analysis
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Manufacturing Performance Optimization

Develop and maintain:

OEE Models (Availability, Performance, Quality)

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Yield Models
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Scrap Analysis Models
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Perform:

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Cycle Time Analysis
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Line Balancing
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Throughput Analysis
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Bottleneck Identification
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Conduct buffer and WIP analysis to optimize:

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Inline Storage
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Interline Storage
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Production Flow Stability
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Create process flow diagrams (PFDs) and value stream maps to identify operational inefficiencies.

Factory Planning & Simulation

Support factory planning, site layout, and material flow decisions using data-driven modeling.

Perform scenario analysis and sensitivity studies to evaluate:

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Production Strategies
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Capacity Expansion Plans
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Operational Trade-Offs
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Develop and utilize simulation models using tools such as:

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FlexSim
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AnyLogic
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Simio
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Support factory ramp-up, installation, commissioning, and operational readiness through model validation and performance tracking.

Material Flow & PFEP Integration

Integrate PFEP data into analytical models to optimize:

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Material Flow
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Line-Side Delivery
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Storage Strategies
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Warehouse Interfaces
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Support warehouse and manufacturing integration initiatives to improve overall operational efficiency.

Data Systems & Analytics

Design scalable data models and architecture supporting:

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Capacity Analytics
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Labor Analytics
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Material Flow Analytics
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Cost Analytics
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Develop standardized frameworks and governance processes for:

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Data Modeling
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Reporting
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Analytics
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Performance Measurement
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Automate data collection, validation, and reporting pipelines.

Build executive dashboards and operational reporting systems using manufacturing and shop-floor data.

AI & Advanced Analytics

Introduce and implement AI-driven solutions to improve industrial engineering analytics and decision-making.

Develop predictive analytics capabilities for:

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Capacity Optimization
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Throughput Improvement
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Cost Reduction
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Production Performance Forecasting
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Establish best practices for:

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Data Quality
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Model Standardization
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System Integration
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Cross-Functional Collaboration

Partner with:

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Manufacturing Engineering
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Operations
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Supply Chain
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Finance
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Controls Engineering
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MES Teams
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Integrate real-time production data into IE models.

Translate complex analytical findings into executive-level recommendations and business insights.

Required Qualifications

Bachelor s degree in:

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Industrial Engineering
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Mechanical Engineering
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Operations Research
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Related Engineering Discipline
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7+ years of experience in:

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Industrial Engineering Analytics
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Manufacturing Modeling
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Operations Analysis
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Capacity Planning
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Strong understanding of:

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Manufacturing Systems
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Industrial Engineering Principles
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Capacity Planning
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Production Analytics
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Preferred Qualifications

Experience developing end-to-end IE models integrating:

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Capacity
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Labor
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PFEP
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Material Flow
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Cost Models
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Strong expertise in:

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Capacity Modeling
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OEE Analysis
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Cycle Time Studies
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Line Balancing
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Throughput Optimization
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Experience with:

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PFEP
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Material Flow Optimization
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Warehouse Integration
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Hands-on experience with simulation tools:

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FlexSim
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AnyLogic
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Simio
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Strong financial modeling experience including:

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ROI
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IRR
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NPV
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Cost Analysis
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Knowledge of:

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COGS Modeling
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Manufacturing Cost Structures
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Financial Impact Analysis
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Experience using:

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Advanced Excel Modeling
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Python
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SQL
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Power BI
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Tableau
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Familiarity with:

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AI/ML Applications in Manufacturing
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Lean Manufacturing
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Continuous Improvement Methodologies
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Key Skills 
Industrial Engineering

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Capacity Planning
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Labor Modeling
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OEE Analysis
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Cycle Time Analysis
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Line Balancing
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Bottleneck Analysis
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Throughput Optimization
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Yield & Scrap Analysis
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Manufacturing Systems

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Factory Modeling
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Material Flow Analysis
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PFEP
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WIP Optimization
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Warehouse Integration
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Production Planning
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Analytics & Data

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Advanced Excel
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Python
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SQL
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Power BI
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Tableau
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Data Modeling
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Dashboard Development
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Predictive Analytics
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Simulation & Optimization

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FlexSim
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AnyLogic
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Simio
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Scenario Analysis
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Sensitivity Analysis
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Factory Simulation
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Financial Analysis

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COGS Modeling
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ROI
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IRR
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NPV
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Cost-Benefit Analysis
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AI & Automation

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AI-Driven Analytics
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Predictive Modeling
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Automated Reporting
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Data Governance 
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Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Key skills

About this role