Data Analyst

Zuven technologies Inc; Greensboro (NC); On-site; USD 65,000 - 90,000; Full time

Job summary

Randstad Digital is seeking an experienced Data Analyst for an exciting opportunity at our client. In this role you will work within advanced analytics and machine learning initiatives to detect issues, define problems, and support resolutions across a global team.

You will leverage Power BI, SQL, and Python (or R) with cloud exposure to analyze warranty, manufacturing metrics, and telematics data. This position emphasizes cross-site collaboration and data-driven decision making.

Qualifications

• 3+ years of data analysis experience in an automotive or commercial manufacturing industry.
• Proficient in Power BI, SQL, and Python (or R), with exposure to cloud environments (Azure, Spark, Jupyter).
• Working knowledge of supervised/unsupervised ML algorithms (e.g., K-means, Random Forest, anomaly detection, regression).
• Experience with heavy data environments like warranty claims, manufacturing metrics, and vehicle telematics/logged data.

Responsibilities

• Apply analytics approaches and ML techniques to issue detection and resolution support.
• Collaborate with engineering and quality sites across regions.
• Utilize analytics to accelerate field quality issue solving within the team.

Skills

Data analysis

ML concepts

Problem solving

Communication

Education

Bachelor's degree in Engineering/CS/Math/Statistics

Tools

Power BI

SQL

Python

R

Azure

Spark

Jupyter

Job description

Randstad Digital is seeking an experienced Data Analyst for an exciting opportunity at our client. In this position, you will be engaged within the advanced analytics and machine learning initiatives focused on emerging issue detection, problem definition, and resolution support within their team. This is done in parallel with other data and product quality leaders located across their global sites.

In this position, you will use fundamental analytics approaches as well as advanced analytics techniques to accelerate the field quality issue-solving process. This process includes conventional, electric, and fuel cell powertrains in our commercial vehicles and coaches. As a global organization, this position involves collaboration with engineering and quality sites located across multiple international regions.

Requirements:

• 3+ years of data analysis experience in an automotive or commercial manufacturing industry.
• Technical Stack: High proficiency in Power BI, SQL, and Python (or R), along with exposure to cloud environments (Azure, Spark, Jupyter).
• Machine Learning: Working knowledge of supervised/unsupervised ML algorithms (e.g., K-means, Random Forest, anomaly detection, regression).
• Data Experience: Familiarity with heavy data environments like warranty claims, manufacturing metrics, and vehicle telematics/logged data.
• Education: Minimum Bachelor's degree in Engineering, Computer Science, Math, or Statistics.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No