Industrial Engineer/Analytics Engineer (Manufacturing Systems & Modeling)

ALTEN Technology USA is an engineering company helping clients bring groundbreaking ideas to life, with 3,000+ experts across North America partnering with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group (57,000+ engineers in 30 countries), it delivers across the entire product development cycle, from consulting to full project outsourcing.

Responsibilities

Developing and managing integrated industrial engineering models that connect capacity, labor, material flow, PFEP, and cost to support factory planning and operations; Building and maintaining capacity, labor, OEE, yield, scrap, and COGS models to drive operational efficiency and decision-making; Performing bottleneck analysis, scenario planning, sensitivity studies, and capacity expansion evaluations; Creating business cases for capital investments, including ROI, IRR, NPV, and cost-benefit analysis; Supporting factory layout, site planning, material flow optimization, and production strategy decisions through data-driven insights; Developing and utilizing factory simulation models to analyze throughput, system performance, and operational readiness; Collaborating with Manufacturing, Operations, Supply Chain, Finance, Engineering, MES, and Controls teams to align models with business requirements; Designing scalable data models, reporting frameworks, dashboards, and analytics systems to improve operational visibility; Implementing AI-driven tools, predictive analytics, and automated reporting solutions to enhance manufacturing performance; Presenting complex analytical findings and recommendations to leadership and executive stakeholders

Requirements

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

Nice to have

Familiarity with AI-driven analytics, predictive modeling, and continuous improvement methodologies

Benefits

Mentorship; career growth opportunities; comprehensive benefits