Sr. Analyst, Strategy Modeling & Analytics

CarMax • Atlanta, GA

1d • Onsite

About The Position

As a Sr. Analyst, Strategy Modeling & Analytics, you will play a pivotal role in shaping the financial success of CarMax Auto Finance (CAF). Each year, CAF empowers thousands of customers with flexible vehicle financing and optional protection products. In this role, you’ll provide strategic analytical leadership to manage CAF’s portfolio of originations, including credit underwriting, pricing, servicing strategy, and consumer behavior analysis. You’ll leverage data-driven insights to influence business decisions, drive innovation, and ensure sustainable growth. This is an exciting opportunity to collaborate across the organization, communicate key objectives, and make a measurable impact on CarMax’s future.
Why CarMax? At CarMax, we are the nation’s largest retailer of used cars with stores from coast to coast, and we are still growing. We’re rethinking the way people buy cars – and it’s our associates that help us do just that. We believe work should feel meaningful and rewarding, with opportunities to make an impact every day. This is where innovation meets passion – be inspired and supported to take us to the future.
Team Overview Join a customer-centric, data-driven team that thrives on solving complex challenges and delivering innovative solutions. At CarMax Auto Finance, we combine advanced analytics with a collaborative, fast-paced environment to stay ahead of industry trends. As part of this team, you’ll partner with senior leaders, guide strategic decisions, and mentor analysts to unlock insights that shape our business. If you’re passionate about using data to drive results and excel in a role that balances creativity with analytical rigor, this is the place for you.
Role Responsibilities This role is structured to balance two complementary areas of focus: approximately 60% of the role is dedicated to portfolio strategy and analytics, while the remaining 40% is focused on data science responsibilities, including predictive modeling, data integrity, and innovation.

Requirements

• Bachelor’s degree in an analytical field (Mathematics, Finance, Economics, Engineering, etc.) with strong academic performance.
• 2-3 years of experience in an analytical or strategic role with proven ability to solve complex problems using data.
• Skilled in communicating insights and explaining technical concepts to diverse audiences.
• Proficiency in Excel and PowerPoint for reporting and presentations.
• Experience with database systems and analytical tools (e.g., SQL, Python).
• Applicants must be currently authorized to work in the United States on a full-time basis.
• Sponsorship will not be considered for this specific role.

Nice To Haves

• Advanced degree in a related analytical discipline.
• Prior experience driving strategic initiatives.

Responsibilities

• Lead portfolio strategy and analytics efforts, leveraging advanced analytics to evaluate CAF’s operations across originations, servicing, forecasting, and product management, and translating insights into actionable portfolio strategies.
• Analyze portfolio trends and develop testing strategies to identify opportunities for innovation and improved performance.
• Review and enhance business strategies using data-driven insights to guide portfolio decision-making and support sustainable growth objectives.
• Produce and present reports on portfolio performance, process tracking, and key metrics to senior leadership.
• Own analytical responsibilities for a specific business area, ensuring accuracy, portfolio insight, and actionable recommendations.
• Lead cross-functional projects within CAF and across CarMax to achieve strategic objectives.
• Develop, validate, and optimize predictive models and analytical frameworks to improve business outcomes, while developing model governance standards and maintaining thorough documentation throughout the model lifecycle.
• Identify and resolve data integrity issues while integrating new data sources—such as customer behavior and market trends—to enrich portfolio analytics.
• Research and implement emerging innovations and best practices in data science—including artificial intelligence and machine learning tools—to advance CAF’s analytical capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees