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Data Analyst – Quality & Customer SatisfactionALTEN Technology USA • Greensboro, North Carolina, United States
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Data Analyst – Quality & Customer Satisfaction

ALTEN Technology USA
  • US
    Greensboro, North Carolina, United States
  • US
    Greensboro, North Carolina, United States
Jetzt Bewerben

Über

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.
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  • Greensboro, North Carolina, United States

Sprachkenntnisse

  • English
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