Industrial Engineering Analytics

Required Skills:

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

Preferred Qualifications: 

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