Automotive Data & Insights Analyst

R. L. Polk Mobility LLC; Michigan; Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation package

Health and wellness benefits

Retirement savings program

Benefits package

Job summary

Mobility Global in the United States seeks an experienced data analytics professional to support automotive data assets and decision-making. You will partner with product, operations, and engineering to translate client needs into data capabilities and scalable analytics solutions.

You will analyze large datasets with SQL, Excel, and visualization tools (Tableau/PowerBI), and you may use Python or R. Strong communication and teamwork across time zones are essential.

Qualifications

• 5+ years of professional experience with automotive point-of-sale data or similar automotive analytics.
•  
• Bachelor of Science in a quantitative field.
• Strong SQL skills and ability to analyze large data sets.
• Proficiency with Excel and data visualization tools like Tableau/PowerBI.
• Experience with Python or R is a plus.
• Excellent written and verbal communication to engage technical and non-technical stakeholders.
• Ability to work with a globally distributed team across time zones.

Responsibilities

• Maintain and enhance data sets and analytics for client decisions.
• Create data-driven solutions in collaboration with product, operations, and engineering teams.
• Develop metrics to capture data relationships and deliver insights.
• Build scalable analytical frameworks for quality assurance in production and post-production.
• Present data-driven insights to non-technical stakeholders.

Skills

Data analysis

SQL

Communication

Excel

Python

R

Team collaboration

Curiosity

Education

Bachelor of Science in a quantitative discipline

Tools

Tableau

PowerBI

Job description

Mobility Global in the United States seeks an experienced data analytics professional to support automotive data assets and decision-making. You will partner with product, operations, and engineering to translate client needs into data capabilities and scalable analytics solutions.

You will analyze large datasets with SQL, Excel, and visualization tools (Tableau/PowerBI), and you may use Python or R. Strong communication and teamwork across time zones are essential.