ALTEN Technology

Full-service engineering services for high-tech

Industrial Engineer/Analytics Engineer - Manufacturing Systems & Modeling

Manufacturing EngineeringConfirmed live in the last 24 hours

Full-timeAustin, TX, USA$90k - $135kIn-person

About the Job

Requirements

A bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field is required.
At least 7 years of experience in industrial engineering analytics, manufacturing modeling, operations analysis, or a related discipline is required.
Strong experience building capacity and labor models from the ground up is required.
Expertise with OEE modeling, including availability, performance, and quality metrics, is required.
Advanced proficiency with Excel, Python, SQL, and reporting tools such as Power BI or Tableau is required.
Experience developing business cases using ROI, IRR, NPV, and cost-benefit analysis methodologies is required.
Knowledge of COGS modeling, manufacturing cost structures, yield analysis, and scrap reduction strategies is required.
Experience with factory simulation tools such as FlexSim, AnyLogic, Simio, or similar platforms is required.
A strong understanding of manufacturing systems, capacity planning, material flow, and industrial engineering principles is required.
Experience translating complex data into actionable recommendations for technical and non-technical stakeholders is required.

Responsibilities

Develop and manage integrated industrial engineering models connecting capacity, labor, material flow, PFEP, and cost to support factory planning and operations.
Build and maintain capacity, labor, OEE, yield, scrap, and COGS models to drive operational efficiency and decision-making.
Perform bottleneck analysis, scenario planning, sensitivity studies, and capacity expansion evaluations.
Create business cases for capital investments, including ROI, IRR, NPV, and cost-benefit analysis.
Support factory layout, site planning, material flow optimization, and production strategy decisions through data-driven insights.
Develop and use factory simulation models to analyze throughput, system performance, and operational readiness.
Collaborate with Manufacturing, Operations, Supply Chain, Finance, Engineering, MES, and Controls teams to align models with business requirements.
Design scalable data models, reporting frameworks, dashboards, and analytics systems to improve operational visibility.
Implement AI-driven tools, predictive analytics, and automated reporting solutions to enhance manufacturing performance.
Present complex analytical findings and recommendations to leadership and executive stakeholders.

Desired Qualifications

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

We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner 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—we deliver across the entire product development cycle, from consulting to full project outsourcing.

When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.

As an Industrial Engineering Analytics Engineer you will be responsible for;

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.

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, 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.

Salary Range: $90K-$135K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.

Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process.

Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

About the Company

ALTEN Technology

Full-service engineering services for high-tech

ALTEN Technology provides engineering services to help clients design and develop advanced technology products. It works by offering a range of engineering capabilities, including agile software development, custom software solutions, and integration of commercial and open-source software to cut costs. This collaborative model supports projects across high-impact sectors like aerospace, medical devices, and automotive technology by tailoring solutions to each client’s needs and reducing project risks. The company’s goal is to enable customers to bring innovative products to market more efficiently through flexible, end-to-end engineering services and long-term partnerships.

Company size: 501-1,000
Company stage: M&A
Total funding: Not listed
Headquarters: Greensboro, North Carolina
Founded: 1988

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