Data Analyst

Expert Technology Services; Greensboro (NC); Presencial; USD 65.000 - 90.000; Jornada completa

Descripción de la vacante

Expert Technology Services seeks a data analytics professional to lead advanced analytics and ML initiatives for issue detection and resolution in the automotive sector. You will collaborate with global data and product quality teams across international sites and design data models and visualizations using Power BI, SQL, and Python (or R).

The role requires 3+ years of data analysis experience in automotive or manufacturing and a Bachelor's degree in Engineering, CS, Math, or Statistics.

Formación

• 3+ years of data analysis experience in automotive or commercial manufacturing.
• Bachelor's degree in Engineering, Computer Science, Math, or Statistics.
• Experience designing data models and visualizations using Power BI, SQL, and Python (or R).
• Experience collaborating with global teams across international sites.

Responsabilidades

• Engage in advanced analytics and machine learning initiatives for issue detection, problem definition, and resolution support.
• Collaborate with global data and product quality teams across multiple international sites.
• Design and implement data models and visualizations using Power BI, SQL, and Python (or R).
• Apply machine learning algorithms (supervised/unsupervised) to solve business problems.
• Operate within cloud environments such as Azure, Spark, and Jupyter.
• Communicate effectively with engineering and quality teams globally.

Conocimientos

Advanced analytics

Machine learning

Data analysis

Communication

Educación

Bachelor's degree in Engineering, Computer Science, Math, or Statistics

Herramientas

Power BI

SQL

Python

R

Azure

Spark

Jupyter

Descripción del empleo

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.