Data Analyst - Customer Quality
Data Analyst - IT
Greensboro North Carolina Contract Jun 22, 2026
Data Analyst – Customer Quality

Greensboro, NC (onsite)
$55+ per hour
Contract to Potential Hire
 
Our team’s mission is to ensure the product quality performance for the complete product line through investigating and prioritizing market product quality issues. This role supports achieving product quality goals and metrics that directly pertain to customer satisfaction.
 
In this position you will use analytics techniques to accelerate field quality issue solving process. This position involves collaboration with sites located in Europe and South America.
 
Responsibilities:
  • Support fundamental to advanced statistical techniques, in the areas of data & business value exploration, data structuring, modelling, problem solving & recommendation within the Quality team.
  • Develop & implement methodologies to assist Product Quality Leaders in emerging issue detection, forecasting & predicting quality & uptime performance.
  • Working with various data sources but not limited to warranty, logged vehicle, customer data, manufacturing data, high resolution truck data.
  • Deliver steps independently but also establish a network working closely with colleagues in Europe, India & Brazil on various initiatives.
  • Collaborate closely with other Data Analysts, Data engineers, Data Architects and Data Scientists during the implementation and deployment of the advance analytics solution  
 
Requirements:
  • Minimum Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or equivalent required.
  • Graduate Degree Preferred
  • Experience with problem solving in a quality organization that is technical focused.
  • Very skilled in PowerBI
  • Demonstrated experience with relevant technical tools such as: SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark.
  • Knowledge of unsupervised and supervised machine learning techniques. (Algorithms for classification, regression, clustering, or anomaly detection including but not limited to: K-means, Random Forest, etc.)
Category Code: JN008
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