Top Automotive Data Analysis Jobs

The Senior Actuarial Analyst conducts complex pricing analyses, supports state filing processes, and collaborates with teams to develop pricing strategies.

Analyze and interpret complex marketing and media datasets, cleanse and enrich data, build and optimize reporting/visualizations, identify trends, support account managers, and recommend process improvements to enhance marketing analytics and data integrity.

Perform market and product analysis for the North American tire market using GFK, USTMA, and internal sales data. Conduct competitor SKU and sizing benchmarking, synthesize trends into executive presentations, upload datasets into SAP, and provide actionable recommendations to optimize product portfolios. Collaborate cross-functionally and support ad-hoc reporting.

The Senior Data Analyst will manage the lifecycle of data analysis projects for RevolutionParts, develop complex models using SQL and Python/R, ensure data integrity, create dashboards in Looker, and mentor the team on data strategy.

The Technology Product Analyst Intern will support the Product team by analyzing metrics, enhancing products, designing tests, and managing analytics tools.

The Risk Analyst will evaluate risk, estimate losses, analyze insurance data, and assist in developing financial recommendations for insurance rates.

Develop and execute pricing models and analyses to optimize trailer sales profitability across assigned stores and markets. Use large datasets and competitor surveys to recommend pricing, support field initiatives, monitor pricing adherence, and communicate insights to leadership and stores.

The Quality Systems & Data Analyst will improve digital quality systems and data-driven processes, enhancing decision-making and performance across operations and manufacturing by developing dashboards, analyzing data, and partnering with various departments.

Support Auto Glass Now leadership by translating business questions into structured analyses, validating data, and delivering actionable recommendations. Build and maintain advanced Excel forecasting models, document business logic and KPIs, extract and validate data using SQL, and communicate insights to varied audiences. Collaborate cross-functionally to inform capacity planning and operational decision-making.

Drive operational improvements for mapping tools by performing root-cause analyses, synthesizing user research, partnering with engineering on tests and automation, establishing KPIs, and designing A/B experiments to inform product and process priorities.