Data Analyst

Veriipro; Greensboro (NC); On-site; USD 70,000 - 90,000; Full time

Job summary

Veriipro in Greensboro, NC, is looking for a Data Analyst to support advanced analytics and machine learning initiatives. You will perform data analysis to identify trends and root causes while collaborating with global teams to drive data-driven decisions.

The successful candidate will have 3+ years of analysis experience, a strong skill set in SQL, Power BI, and Python, and a relevant degree. This position emphasizes collaboration and application of statistical techniques to improve product quality.

Qualifications

• 3+ years of experience in data analysis, preferably in automotive or manufacturing.
• Strong proficiency in SQL, Power BI, and Python.
• Experience with cloud and big data tools like Azure.

Responsibilities

• Perform data analysis to identify emerging issues and root causes.
• Support advanced analytics for problem detection and resolution.
• Develop dashboards and reports to support decision-making.

Skills

Data analysis

SQL

Power BI

Python

Machine learning

Analytical thinking

Education

Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics

Tools

Azure

Spark

Jupyter

Job description

We are seeking a Data Analyst to support advanced analytics and machine learning initiatives focused on issue detection, problem definition, and resolution support within a global engineering and quality environment. The role involves working with cross-functional teams across multiple regions to accelerate data-driven decision‑making and improve product and field quality performance.

The analyst will apply both traditional and advanced analytics techniques to support end-to-end problem-solving across complex product systems, including high-volume engineering and operational datasets.

Roles and Responsibilities

• Perform data analysis to identify emerging issues, trends, and root causes
• Support advanced analytics and machine learning initiatives for problem detection and resolution
• Develop dashboards and reports to support field quality and engineering decision‑making
• Work with structured and unstructured datasets from manufacturing, warranty, and operational systems
• Collaborate with engineering and quality teams across global locations
• Apply statistical and machine learning techniques to improve diagnostic and prediction capabilities
• Support data‑driven investigations for complex system and product issues

Required Skills & Experience

• 3+ years of experience in data analysis, preferably in automotive, manufacturing, or industrial domains
• Strong proficiency in SQL, Power BI, and Python (or R)
• Experience working with cloud and big data tools such as Azure, Spark, or Jupyter
• Familiarity with machine learning techniques (e.g., regression, classification, clustering, anomaly detection)
• Experience working with large-scale datasets such as warranty, manufacturing, or telemetry data
• Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or related field
• Strong analytical thinking and problem-solving skills

Preferred Skills

• Experience with predictive analytics and anomaly detection use cases
• Exposure to product quality, reliability engineering, or field failure analysis
• Experience working in global, cross-functional environments