Industrial Engineer/Analytics Engineer (Manufacturing Systems & Modeling)

Required

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field.
• 7+ years of experience in industrial engineering analytics, manufacturing modeling, operations analysis, or a related discipline.
• Strong experience building capacity and labor models from the ground up.
• Expertise with OEE modeling, including availability, performance, and quality metrics.
• Advanced proficiency with Excel, Python, SQL, and reporting tools such as Power BI or Tableau.
• Experience developing business cases using ROI, IRR, NPV, and cost-benefit analysis methodologies.
• Knowledge of COGS modeling, manufacturing cost structures, yield analysis, and scrap reduction strategies.
• Experience with factory simulation tools such as FlexSim, AnyLogic, Simio, or similar platforms.
• Strong understanding of manufacturing systems, capacity planning, material flow, and industrial engineering principles.
• Excellent analytical, problem-solving, and executive communication skills.
• Experience translating complex data into actionable recommendations for technical and non-technical stakeholders.
• Familiarity with AI-driven analytics, predictive modeling, and continuous improvement methodologies is preferred.