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Industrial Engineering Analyst Jobs (NOW HIRING)

Sterling Engineering Inc.

Industrial Engineer

Elkhorn, WI

$72K - $98K/yr

Industrial Engineer Location: Near Elkhorn, WI Industry : Manufacturing / Data Center ... Proficiency with Microsoft Excel and engineering analysis tools * Experience supporting high-volume ...

Intuitive Surgical

$82K - $110K/yr

The Sr. Industrial Engineer & Analyst for Services will deliver significant improvements in cost, manufacturability, capacity, and serviceability for robotic surgical instruments and accessories. You ...

Grede

Industrial Engineering Manager

Reedsburg, WI · On-site

$110K/yr

Lead and manage industrial engineering activities, including methods and standards engineering, manufacturing engineering, and cost analysis * Oversee the development, implementation, and maintenance ...

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Industrial Engineering Analyst information

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$52.5K

$98.6K

$132.5K

How much do industrial engineering analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for industrial engineering analyst in the United States is $98,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior industrial engineering analysts with extensive experience, advanced skills in data analysis and process optimization, and often leadership responsibilities can reach or exceed a $300,000 annual salary. High-level roles in specialized industries or companies with competitive compensation packages may also offer such earnings.

What is an industrial engineering analyst?

An industrial engineering analyst evaluates and improves manufacturing and business processes to increase efficiency and reduce costs. They use data analysis, process modeling, and tools like Lean or Six Sigma to identify areas for optimization and implement solutions in various industries.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working in high-demand industries or leadership roles.

Is IE a good career choice?

Industrial Engineering Analysts design and improve production processes, focusing on efficiency, quality, and cost reduction. The role often requires strong analytical skills, knowledge of tools like CAD and simulation software, and may involve working in manufacturing, logistics, or healthcare environments. It is considered a stable career with opportunities for advancement and specialization.

What are some typical challenges faced by Industrial Engineering Analysts in their daily work?

Industrial Engineering Analysts often face the challenge of analyzing complex processes and identifying improvement opportunities within fast-paced production or operations environments. They may need to balance multiple projects simultaneously, work with large data sets, and occasionally overcome resistance to change from various stakeholders. Collaboration with cross-functional teams, such as manufacturing, logistics, and IT, is common to implement effective solutions. Adapting quickly to shifting priorities and continuously learning about the latest industry practices helps analysts achieve success and drive measurable results.

What are the key skills and qualifications needed to thrive in the Industrial Engineering Analyst position, and why are they important?

To thrive as an Industrial Engineering Analyst, you need strong analytical skills, a background in industrial engineering or a related field, and proficiency in data analysis and process improvement. Familiarity with tools such as simulation software (e.g., Arena, Simul8), statistical analysis programs (e.g., Minitab), and knowledge of Lean Six Sigma principles or certifications is often expected. Excellent problem-solving abilities, communication skills, and attention to detail help distinguish top performers in this position. These skills are vital for identifying inefficiencies, driving operational improvements, and ensuring effective collaboration across organizational teams.

What does an Industrial Engineering Analyst do?

An Industrial Engineering Analyst evaluates and improves processes, systems, and workflows to enhance efficiency, reduce waste, and optimize resource utilization. They use data analysis, simulations, and industry best practices to identify inefficiencies and recommend solutions. Their work spans various industries, including manufacturing, logistics, and healthcare, to improve productivity and cost-effectiveness.

More about Industrial Engineering Analyst jobs
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What states have the most Industrial Engineering Analyst jobs? States with the most job openings for Industrial Engineering Analyst jobs include:
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Industrial Engineering Analyst jobs near you
Infographic showing various Industrial Engineering Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,591 per year, or $47.4 per hour.
Industrial Engineering Analytics Engineer

Industrial Engineering Analytics Engineer

Unicorn Technologies LLC

Pittsburgh, PA

$65K - $88K/yr

Other

Posted 3 days ago

Job description

Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)
Location: Pittsburgh, PA (Onsite)
Job Description:
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.
Required Skills:
  1. Greenfield or brownfield project experience (good to have)
  2. Equipment planning
  3. Capacity planning
  4. Labour planning
  5. CAPEX management (good to have)
  6. Supplier validation
  7. Capital investments – ROI, IRR, NPV, and cost-benefit analysis
  8. Design and maintain OEE models
  9. Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
  10. Material planning
  11. PFMEA
  12. Lean Manufacturing
  13. Six Sigma
  14. Layout planning (good to have)
  15. Simulation tools experience (not mandatory)
  16. Strong expertise in Excel
  17. 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
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
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
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

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