Pay
Lower than most similar jobs
$90K–$135K against $122K–$190K, the middle half of what similar US postings state.
From 321 postings in the last year. Stated ranges, not salaries paid.
Industrial Engineer/Analytics Engineer (Manufacturing Systems & Modeling)
Pittsburgh, PA
Actively hiring, first seen by us 7 days ago- Pay
$90,000–135,000/yearAnnual period assumed — pay source
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.
Read the full posting- Work setting
On-site — work setting source
Work setup in the employer’s posting: Onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDevelop integrated industrial engineering models covering capacity, labor, material flow, PFEP and cost
Perform bottleneck analysis, scenario planning and capacity expansion evaluations
Create business cases for capital investments using ROI, IRR, NPV and cost-benefit analysis
Develop and use factory simulation models to analyze throughput and operational readiness
Design data models, dashboards and reporting frameworks for operational visibility
From the employer’s posting
Developing and managing integrated industrial engineering models that connect capacity, labor, material flow, PFEP, and cost
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.
Developing and utilizing factory simulation models to analyze throughput, system performance, and operational readiness.
Designing scalable data models, reporting frameworks, dashboards, and analytics systems to improve operational visibility.
Education & alternatives
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.
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 20267 days ago
- Recorded sightings
- 20
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 7
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
ALTEN Technology USA is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Excel
- Power BI
- Tableau
Where the posting names them
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Pittsburgh, PA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.