Data Analyst – Quality & Customer Satisfaction

Altentechnologyusa; Greensboro (NC); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Comprehensive benefits

Career growth opportunities

Job summary

Altentechnologyusa in Greensboro, North Carolina, is seeking an experienced Data Analyst to leverage data for improving product quality and customer satisfaction. The ideal candidate will analyze data using statistical techniques, identify quality issues, and support problem resolution in a manufacturing environment.

This role requires strong analytical skills and proficiency in tools like Power BI, SQL, and Python. The successful applicant will collaborate with cross‑functional teams and contribute to quality improvement initiatives. Comprehensive benefits and career growth opportunities are offered.

Qualifications

• Experience working in a technical or manufacturing‑focused quality environment.
• Strong analytical abilities and problem-solving skills.
• Excellent communication skills for data storytelling.

Responsibilities

• Analyze data to support quality improvement initiatives.
• Identify product quality issues and contribute to early detection.
• Collaborate with cross‑functional teams for insights and recommendations.

Skills

Power BI

SQL

Python

R

Machine Learning

Education

Bachelor’s degree in Engineering or related field

Master’s degree preferred

Tools

Azure Analytics

Jupyter Notebook

Apache Spark

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.

Summary

We are seeking an experienced Data Analyst with a strong passion for leveraging data to drive decisions that improve product quality and customer satisfaction. The ideal candidate is highly analytical, collaborative, and skilled at translating complex data into actionable insights. This individual will play a key role in identifying quality issues, supporting problem resolution, and enabling data‑driven decision‑making across engineering and product teams within a manufacturing environment.

Responsibilities

• 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.