Quality Data Analyst - Automotive

Job Summary

Quality Data Analyst – Automotive (Onsite, Greensboro, NC)

Greensboro, NC

• All steps of an analytics assignment ranging from 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.
• Work with various data sources including warranty, logged vehicle, customer data, manufacturing data, high resolution truck data.
• Deliver all steps independently while establishing 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 design and deployment of advanced analytics solution.
• Use fundamental analytics approaches as well as advanced techniques to accelerate field quality issue solving process for conventional, electric and fuel cell powertrains in Trucks and Coaches.
• Engage in emerging issue detection, problem definition and resolution support within the team and across sites globally.

• Minimum bachelor’s degree in engineering, Computer Science, Mathematics, Statistics or equivalent; graduate degree preferred.
• Experience with automotive and/or heavy truck industry and blend of experience with electrical and mechanical systems.
• Experience with problem solving in a quality organization that is technical focused.
• Very skilled in Power BI.
• Experience with technical tools: SQL, Python, R, Azure Analytics Cloud, Jupyter Notebook, Apache Spark.
• Knowledge of unsupervised and supervised machine learning techniques (e.g., K‑means, Random Forest, regression, classification, clustering, anomaly detection).
• Excellent written and verbal communication skills in English.

• High energy, positive attitude, and creative thinking.
• Real problem solver, confident in making data‑driven decisions.
• Excellent written and verbal communication for coordinating across teams.
• Drive to learn and master new technologies and techniques.