AutoNation is one of the largest automotive retailers in the United States, offering innovative products, exceptional services, and comprehensive solutions, empowering our customers to make the best decisions for their needs. With a network of dealerships nationwide strengthened by a recognized brand, we offer a wide variety of new and used vehicles, customer financing, parts, and provide expert maintenance and repair services. Through DRV PNK, we have raised over $40 million for cancer-related causes, demonstrating our commitment to making a positive difference in the lives of our Associates, Customers, and the communities we serve.
So what do you say? Are you ready to be part of something big?
AutoNation is looking for a Manager of Analytics to lead the development of analytics solutions that deliver high impacts on financial and strategic business outcomes. This role will report to the Director, Pricing & Analytics and partner with technical and business leaders across the company. The ideal candidate will have a mix of high business acumen, broad technical expertise, and stakeholder management skills. The candidate will actively manage the trade-offs between speed and scalability to ensure maximum stakeholder satisfaction.

REQUIREMENTS:

• Experience: 5 or more years in advanced analytics and reporting, turning data into actionable insights to solve complex business problems
• Education: Bachelor’s in Business, Computer Science, Mathematics or similar, quantitative field or equivalent experience
• Location: West or Central region as this position will be required to work on Pacific Time
• Expert knowledge of SQL – extract, manipulate, clean, and analyze large datasets
• Proficient developing reports and dashboards from scratch using visualization tools such as Tableau or PowerBI
• Skilled leveraging Excel to run analysis and create forecasting models
• Tenacious self-starter – able to recognize problems, propose paths forward, and execute deliverables that drive business outcomes
• Effective communicator to both technical and non-technical audiences

• Develop executive-facing reports, dashboards, and metrics that provide clarity into all things Autonomous Vehicle Fleet Services by explaining the ‘why’ beyond the ‘what’.
• Partner with business stakeholders to create analytics solutions that drive and measure our performance against our Autonomous Vehicle Partner’s SLAs.
• Collaborate with Autonomous Vehicle Partner’s IT engineers to build scalable solutions such as enterprise reporting and master data management structures.
• Perform analyses, interpret output, derive implications, and make operational recommendations to increase efficiency and profitability through statistical analyses and experimental design.
• Establish a high performance, data-driven culture where speed matters.