Automotive Data Analyst — Power BI, SQL & ML Insights

Compunnel, Inc.; Greensboro (NC); On-site; USD 70,000 - 90,000; Full time

Job summary

Compunnel, Inc. is looking for a Data Analyst in Greensboro, North Carolina, to analyze large datasets and provide actionable insights to enhance product quality, operational performance, and customer experience. The ideal candidate will leverage strong expertise in Power BI, SQL, and statistical analysis, with a focus on the automotive engineering sector.

This role includes developing interactive dashboards, collaborating with teams, and applying statistical and machine learning techniques to drive data-informed decisions.

Qualifications

• 5+ years of experience in a data analytics role.
• Strong SQL skills with experience integrating data from multiple sources.
• Experience working with large and complex datasets.

Responsibilities

• Analyze and interpret large datasets to identify trends, patterns, and insights related to product quality and customer experience.
• Support the identification of emerging issues and perform root cause analysis using data modeling and analytical techniques.
• Develop and implement analytical methodologies to improve product performance, reliability, and satisfaction metrics.

Skills

Power BI

SQL

Python

Statistical analysis

Data modeling

Machine learning

Data visualization

Analytical methodologies

Education

Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field

Tools

Power BI

Advanced analytics platforms

Big data technologies

Job description

Compunnel, Inc. is looking for a Data Analyst in Greensboro, North Carolina, to analyze large datasets and provide actionable insights to enhance product quality, operational performance, and customer experience. The ideal candidate will leverage strong expertise in Power BI, SQL, and statistical analysis, with a focus on the automotive engineering sector.

This role includes developing interactive dashboards, collaborating with teams, and applying statistical and machine learning techniques to drive data-informed decisions.