Industrial Engineer Manufacturing Systems Modeling

ZENITH INFOTEK LLC; Pittsburgh (Allegheny County); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Opportunity for advancement

Training & development

Job summary

ZENITH INFOTEK LLC is seeking an Industrial Engineering Analytics Engineer for its Pittsburgh facility. This role focuses on enhancing manufacturing efficiency through advanced analytical models, involving tight collaboration across operations.

The successful candidate should possess strong industrial engineering fundamentals and expertise in analytics, simulation, and AI-driven systems, making pivotal contributions to large-scale manufacturing environments. A competitive salary, opportunities for advancement, and professional training will be provided.

Qualifications

• Strong analytical and problem-solving skills are essential.
• Ability to build scalable models and analytics systems.
• Experience in cross-functional team collaboration is a plus.

Responsibilities

• Lead analytical model development to enhance manufacturing efficiency.
• Manage integrated IE models connecting various operational factors.
• Support decision-making with data-driven insights.

Skills

Greenfield or brownfield project experience

Equipment planning

Capacity planning

Labour planning

CAPEX management

Supplier validation

Capital investments – ROI, IRR, NPV

Design and maintain OEE models

Support factory ramp-up

Material planning

PFMEA

Lean Manufacturing

Six Sigma

Simulation tools experience

Strong expertise in Excel

Knowledge of AI-driven tools

Education

Bachelor's degree in Industrial Engineering or relevant field

Tools

Excel advanced modeling

Python

SQL

Power BI/Tableau

FlexSim, AnyLogic, Simio (simulation tools)

Job description

Job Title

Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Location

Pittsburgh, PA (Onsite)

Benefits

• Competitive salary
• Opportunity for advancement
• Training & development

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)

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 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.

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.

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