Data Analyst

Job Summary (List Format):

- Engage in advanced analytics and machine learning initiatives for emerging issue detection, problem definition, and resolution support. - Collaborate with global data and product quality teams across multiple international sites. - Utilize both fundamental and advanced analytics techniques to accelerate field quality issue-solving for commercial vehicle powertrains (conventional, electric, fuel cell). - Analyze large datasets, including warranty claims, manufacturing metrics, and vehicle telematics/logged data. - Design and implement data models and visualizations using Power BI, SQL, and Python (or R). - Apply machine learning algorithms (supervised/unsupervised; e.g., K-means, Random Forest, anomaly detection, regression) to solve business problems. - Operate within cloud environments such as Azure, Spark, and Jupyter. - Ensure effective communication and collaboration with engineering and quality teams globally. - Requires a minimum of 3+ years of data analysis experience in automotive or commercial manufacturing. - Bachelor's degree in Engineering, Computer Science, Math, or Statistics required.