Top Remote Automotive Data & Analytics Jobs in Phoenix – Mesa – Scottsdale, AZ

The role involves analyzing TA data, providing strategic insights, creating dashboards, and improving recruitment processes to enhance efficiency and decision-making.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Vehicle Data Editor will manage automotive data entry, ensuring completeness and accuracy by researching and interpreting data from OEMs and assisting in data cleanup projects.

The Senior Data Center Administrator is responsible for data center operations including inventory management, logistics, vendor coordination, and capacity planning. The role requires technical expertise and strong communication skills to ensure efficient data center environments across multiple locations.

As a Senior Associate in Business Operations, you will leverage data analysis and A/B testing to drive user acquisition, automate processes, and optimize efficiencies in business strategies while collaborating with various teams.

Lead the development and optimization of data transformation processes using dbt Core, Snowflake, and Python. Mentor engineers and ensure deliverables meet analytics needs.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

The Data Operations Analyst at Revecore will manage data operations, troubleshoot issues, and optimize data pipelines while collaborating with Data Engineering.

The eCommerce Ads & Performance Analyst manages and optimizes paid advertising campaigns across platforms, analyzes performance metrics, and provides data-driven recommendations for improvements.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.