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.
- Analyze data using both fundamental and advanced statistical techniques to support quality improvement initiatives
- Identify emerging product quality issues and contribute to early detection, forecasting, and predictive insights
- Structure, model, and interpret data to support problem-solving and business decision-making
- Work with multiple data sources, including warranty data, vehicle data, customer feedback, and manufacturing data
- Partner with product quality leaders to provide insights and recommendations that improve product performance and uptime
- Develop and implement analytical methodologies to enhance quality tracking and reporting
- Collaborate with cross-functional teams including data analysts, data engineers, data architects, and data scientists
- Support the implementation and deployment of advanced analytics solutions
- Contribute to continuous improvement efforts by identifying opportunities to optimize data processes and tools
- Communicate findings through clear data storytelling to ensure the voice of the customer is represented
Qualifications;
- Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field (Master’s preferred)Experience working in a technical or manufacturing-focused quality environment
- Strong proficiency in Power BI for data visualization and reporting
- Hands-on experience with tools such as SQL, Python, R, Azure Analytics, Jupyter Notebook, or Apache Spark
- Knowledge of machine learning techniques, including classification, regression, clustering, and anomaly detection
- Proven ability to solve complex problems using data-driven approaches
- Strong understanding of data modeling, data structuring, and analytics methodologies
- Experience working with large, complex datasets from multiple sources
- Excellent written and verbal communication skills with the ability to present insights clearly
- Ability to collaborate effectively with cross-functional teams
- Self-driven with a proactive mindset and a strong desire to learn new technologies and techniques
Salary Range: 90,000 to 100,000
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.
Skills Required
- Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or related field
- Master's degree (preferred)
- Experience working in a technical or manufacturing-focused quality environment
- Proficiency in Power BI for data visualization and reporting
- Hands-on experience with SQL
- Hands-on experience with Python
- Hands-on experience with R
- Experience with Azure Analytics
- Experience with Jupyter Notebook
- Experience with Apache Spark
- Knowledge of machine learning techniques (classification, regression, clustering, anomaly detection)
- Strong understanding of data modeling, data structuring, and analytics methodologies
- Experience working with large, complex datasets from multiple sources (warranty, vehicle, manufacturing, customer feedback)
- Proven ability to solve complex problems using data-driven approaches
- Excellent written and verbal communication skills and ability to present insights clearly
- Ability to collaborate effectively with cross-functional teams
- Self-driven with a proactive mindset and strong desire to learn new technologies and techniques
What We Do
ALTEN Technology USA is an engineering consulting company that provides innovative solutions for engineering, IT, and product development projects across the product life cycle. For decades, ALTEN Technology USA has been helping clients develop products that are changing the world, whether by shaping the future of space exploration, saving lives with medical devices that set new standards of care or creating the fully autonomous electric taxi of tomorrow. The company provides support across industries including aerospace, defense, MedTech and life sciences, unmanned systems and robotics, automotive OEM and tier 1 suppliers, commercial vehicles, electric vehicles, energy and environment, rail, and more.
Why Work With Us
Potential clients in the industries we serve, Professionals in the Industries, and Potential employees within New Product Development, Engineering Services, Sustaining Engineering, Manufacturing Engineering, Embedded Electronics Engineering, Software Engineering and IT, Mechanical Engineering, and Systems Engineering.
