Manager, Marketing Analytics

CarMax•Richmond, VA

22h•Onsite

About The Position

CarMax invests hundreds of millions of dollars each year to reach customers across paid search, display, programmatic, paid social, video, direct mail, broadcast, and emerging channels. This role puts you at the center of how we measure, optimize, and grow that investment—turning data into strategy and strategy into results at the nation’s largest used car retailer. CarMax’s Marketing Analytics team is a group of 20+ analysts who serve as the measurement and insights engine for the marketing department. We partner directly with the channel marketing managers who own media strategy and execution—providing the analytical frameworks, test designs, and performance insights that optimize return on ad spend (ROAS) across the portfolio. The Manager, Marketing Analytics is the strategic counterpart to our channel marketing managers, creating a data-driven view of how marketing drives business performance and providing the measurement frameworks, test designs, and insights that optimize hundreds of millions in annual investment. You will develop measurement approaches, design experiments, set ROAS targets, and translate complex analyses into recommendations that shape how CarMax allocates spend and identifies growth opportunities. This role sits at the intersection of data, strategy, and storytelling. It requires someone fluent in marketing measurement and comfortable influencing both channel owners and senior leaders. As a Manager in Marketing Analytics, you will partner with channel marketing managers, media agencies, creative teams, and cross-functional stakeholders across the marketing department to drive performance and optimize investment on a team focused on one of these areas: Program Analytics: Lead portfolio level analyses to ensure we have an optimized marketing mix. Drive consistency in our measurement systems and leads efforts to continuously improve their accuracy, scope and actionability Paid Search Channel Analytics: Lead optimizations, testing, and research to drive impact through one of the largest performance marketing channels. Help sharpen our strategy through data-driven insights, vetting new products and platforms, and understanding macro changes that impact our programs. Video & Digital Channel Analytics: Lead measurement of marketing investments in marketing channels outside of Search and Lead-Gen, spanning upper‑, mid‑, and lower‑funnel media. Drive improvement of marketing efficiency with focus on both media and creatives-based insights Organic Channel Analytics: Define and operationalize GEO/SEO KPI frameworks and insights that drive content strategy and prioritization across search and generative engines. Lead innovative, hypothesis-driven testing to optimize content structure and ecosystem signals, translating learnings into scalable recommendations.

Requirements

BA/BS in Business, Marketing, Economics, Statistics, Mathematics, Engineering, Computer Science, or related quantitative field
7+ years of experience in marketing analytics, media analytics, or a related analytical role
Strong analytical and problem-solving skills with a track record of delivering actionable insights that influence investment decisions
Experience with marketing measurement methodologies including attribution modeling, media mix modeling, incrementality testing, and A/B experimentation
Experience designing test frameworks, defining success metrics, and reading out experiment results to inform channel strategy
Proven ability to lead complex projects and influence cross-functional partners at all levels of the organization
Strong working knowledge of SQL, Python or R, Snowflake, Excel, Tableau, and PowerPoint
Ability to communicate complex analytical concepts clearly to both technical and non-technical audiences
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

Experience with advanced analytics, statistical modeling, or machine learning applied to marketing
Graduate degree (MBA, MS) in a quantitative or business discipline
Experience in retail, automotive, or other high-consideration consumer industries
Familiarity with digital marketing platforms (e.g., Google Ads, DV360, Meta, DSPs), ad tech, and web analytics tools (GA4, Adobe Analytics)

Responsibilities

Lead and evolve marketing measurement approaches across channels, programs, and markets to maintain a best-in-class analytics capability
Leverage frameworks such as media mix modeling (MMM), multi-touch attribution (MTA), incrementality testing, and experimentation to inform decisions and set ROAS targets
Design test frameworks and define success criteria for channel-level experiments; partner with channel managers to structure tests, read out results, and scale learnings
Deliver portfolio-level analyses that optimize investment allocation and quantify efficiency across programs managing hundreds of millions in annual budget
Identify macro and industry-level demand drivers and assess their impact on business performance
Develop executive-ready reporting, dashboards, and insights that translate complex analyses into actionable recommendations
Serve as the primary analytics partner to channel marketing managers across paid search, display, programmatic, paid social, and video—directly informing their media, creative, and optimization strategies
Collaborate with data engineering and technology partners to ensure analytics infrastructure supports evolving measurement needs
Partner with media agencies and external vendors to evaluate third-party research, validate measurement approaches, and ensure alignment with internal analytics standards
Present findings and strategic perspectives to senior leaders and executives, building consensus on investment decisions
Mentor and develop junior analysts, providing timely feedback and coaching that accelerates their growth
Lead knowledge-sharing sessions and champion best practices that elevate the team’s collective analytical craft
Help shape team processes, standards, and ways of working that strengthen our analytics culture and reinforce a collaborative, high-performance environment