Data Analyst – Quality & Customer Satisfaction

ALTEN Technology USA; Greensboro (NC); On-site; USD 90,000 - 100,000; Full time

Job summary

ALTEN Technology USA in Greensboro seeks a skilled Data Analyst to enhance quality and customer satisfaction through data-driven decisions. You will analyze data, identify quality issues, and collaborate with cross-functional teams to optimize processes.

The ideal candidate has a Bachelor’s degree, experience in a technical environment, and proficiency in tools such as Power BI, SQL, and Python. Join us to tackle challenging engineering problems and contribute to critical projects.

Qualifications

• Experience in a technical or manufacturing quality environment.
• Hands-on experience with tools like SQL and Power BI.
• Knowledge of machine learning techniques.

Responsibilities

• Analyze data to support quality improvement initiatives.
• Identify emerging product quality issues.
• Structure and interpret data for business decision-making.

Skills

Statistical analysis

Data visualization

Problem-solving

Collaboration

Data storytelling

Education

Bachelor’s degree in Engineering, Computer Science, Mathematics, or Statistics

Master’s degree (preferred)

Tools

Power BI

SQL

Python

R

Azure Analytics

Jupyter Notebook

Apache Spark

Job description

Data Analyst – Quality & Customer Satisfaction

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 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

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. We are an Equal Opportunity Employer and consider all qualified applicants without regard to any protected status.