Senior Analyst, Search Measurements and Analytics

CarMax; United States; On-site; USD 88,000 - 133,000; Full time

Benefits offered by this job

Paid sick time

Vacation time

Holidays

Job summary

CarMax is seeking a Senior Analyst, Search Measurement and Analytics to own measurement and causal inference for paid search at the Richmond, VA location. You will design tests, build models and dashboards, and guide data-backed decision-making.

You will validate agency analyses, translate business questions into structured analyses, and collaborate with cross-functional partners on MMM and attribution strategies. Onsite four days a week with strong analytical autonomy and impact.

Qualifications

• 3+ years in an analytical role, preferably marketing analytics.
• Strong SQL and Python (pandas) skills for querying and modeling large datasets.
• Applied experience designing experiments, including hypothesis testing and causal inference methods.
• Familiarity with marketing measurement methodologies such as incrementality testing, MMM or multi-touch attribution.
• Experience building and maintaining BI dashboards (Tableau, Looker, or similar).
• Bachelor's degree in a quantitative field or equivalent practical experience.
• Preferred: Paid search/bid management platform experience and cross-functional collaboration.

Responsibilities

• Own and prioritize an analytics backlog, translating tasks into a defensible sequence of work.
• Design and execute incrementality tests, holdout experiments, and pre/post analyses.
• Build and maintain data foundations, models, and dashboards with clear methodology explanations.
• Own budget management input through monthly mROI curve builds and recommendations.
• Independently validate agency analyses and pressure-test findings against internal standards.
• Translate ambiguous business questions into structured analyses and actionable recommendations.
• Contribute to portfolio-level budget allocation and cross-channel measurement discussions.

Skills

SQL

Python (pandas)

Experiment design

Causal inference

Marketing analytics

Education

Bachelor's degree in quantitative field

Tools

Tableau

Looker

GenAI tools

Job description

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220 CarMax, the way your career should be! Senior Analyst, Search Measurement and Analytics Richmond, VA (CarMax Midtown Office / Technology Innovation Center)

About the Team

Marketing Analytics is the measurement and insights engine for CarMax's marketing organization, supporting hundreds of millions of dollars in annual media investment across paid search, lead generation, affiliate, and brand channels. The Search Analytics team owns the data and analysis behind one of CarMax's largest performance channels, spanning both the retail program (vehicle sales) and the supply program (vehicle sourcing).

About the Role

This role owns measurement, analysis, and causal inference responsibilities within the search space: rigorously testing whether a result is actually caused by paid search, not just correlated with it, to drive data-backed strategy and decision-making. You’ll own analytical rigor behind how CarMax invests in and optimizes paid search, working alongside a Senior Manager and a small team of analysts. This includes designing tests and interpreting results with a statistical-based approach, not just reading their results; independently validating agency-reported performance rather than taking it at face value; and translating ambiguous business questions and white-space research into specific, defensible recommendations. You'll operate with real autonomy: media activation, planning, and program leads look to your analysis to shape decisions, not just describe what already happened. Paid search platform expertise is useful context to support this work, but not the job itself.

What You Will Do – Essential Responsibilities

• Own and prioritize an analytics backlog, spanning testing, research, and measurement priorities, translating competing tasks into a clear, defensible sequence of what gets worked on next
• Design and execute incrementality tests, holdout experiments, and pre/post analyses to isolate the true impact of paid search spend, independent of what platform-reported metrics claim
• Build and maintain data foundations, statistical models, and dashboards that give leadership a trusted, defensible view of channel performance, and be able to explain the methodology behind them, not just the output
• Own budget management input through monthly mROI curve builds, translating diminishing-returns analysis into budget recommendations
• Independently validate agency-delivered analysis and reporting; pressure-test findings and set the quality bar the agency partner is held to
• Translate ambiguous business questions (where we should shift budget, is this channel actually incremental) into structured analyses and specific recommendations
• Contribute directly to portfolio-level budget allocation and channel strategy conversations, not just channel-level optimization
• Partner with media planners and program leads on cross-channel measurement questions, including how paid search fits into CarMax’s broader measurement approach (e.g., MMM, multi-touch attribution, incrementality testing)

Qualifications and Requirements

Ability to consistently deliver at a high level on the responsibilities listed above.

Requirements listed below are representative of the knowledge and skills required:

• 3+ years of experience in an analytical role, preferably in marketing analytics, media analytics, or another data-rich performance marketing environment
• Strong SQL and Python (pandas) skills for querying, transforming, and modeling large datasets
• Applied experience designing experiments, including hypothesis testing, significance and power analysis, sample size estimation, causal inference methods (e.g., geo holdouts, synthetic controls), and knowing when a result is and isn’t meaningful
• Familiarity with marketing measurement methodologies such as incrementality testing, media mix modeling, or multi-touch attribution
• Experience building and maintaining reports or dashboards in a BI tool (Tableau, Looker, or similar)
• A track record of turning ambiguous data into a specific, actionable recommendation, and communicating it clearly to both analysts and executives
• Bachelor's degree in a quantitative field (statistics, economics, math, marketing analytics, or similar) or equivalent practical experience
• Preferred Qualifications Experience with paid search or bid management platforms (e.g., Google Ads, Microsoft Ads, SA360) Experience using GenAI tools to speed up analysis or automate reporting Experience collaborating with cross-functional teams including external media agencies

Work Location: Richmond, VA, onsite 4 days/week. Sponsorship not available for this role.

The annual salary for this position is: $88,400.00 - $132,600.00 May be eligible for bonus and equity.

Benefits

Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time. Associates that are considered full-time hourly or commission/incentive eligible: To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company. For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay. Associates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval. For more details about benefits, please visit our CarMax Benefits website.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For.