Vehicle Data Analyst — Automotive Insights

Bosch Group; Owatonna (MN); On-site; USD 76,000 - 85,000; Full time

Benefits offered by this job

Health, dental, and vision plans

401(k) retirement plan with employer 2

Education expense reimbursement

Paid time off

Job summary

Bosch is seeking an Associate Vehicle Data Analyst to transform diagnostic data into actionable insights for North American automotive brands. You will analyze data, investigate issues, and support product decisions with cross-functional teams.

The role emphasizes data analysis, collaboration with software developers, validation teams, and engineers, plus continuous learning in a fast-changing environment. A strong quantitative foundation and automotive knowledge are essential.

Qualifications

• Bachelor’s degree in a technical field preferred.
• Equivalent combination of education and relevant experience will be considered.

Responsibilities

• Analyze vehicle diagnostic data, validation results, quality metrics, and customer feedback to identify trends, anomalies, and improvement opportunities.
• Perform root‑cause investigations to determine underlying causes of product quality issues and coverage gaps.
• Research and interpret OEM service information, repair procedures, and vehicle system documentation to support product development and validation activities.
• Develop data‑driven recommendations to improve product quality, reliability, and customer experience.
• Convert large volumes of technical and diagnostic information into actionable insights for engineering and business teams.

Skills

SQL

Excel

Python

Power BI

Education

Bachelor’s degree in data analytics, data science, computer science, information systems, engineering, automotive technology, mathematics, statistics, or a related technical field

Tools

Power BI

Job description

Bosch is seeking an Associate Vehicle Data Analyst to transform diagnostic data into actionable insights for North American automotive brands. You will analyze data, investigate issues, and support product decisions with cross-functional teams.

The role emphasizes data analysis, collaboration with software developers, validation teams, and engineers, plus continuous learning in a fast-changing environment. A strong quantitative foundation and automotive knowledge are essential.