Data Analyst, Personalization & Search (Equity Eligible)

CarMax Business Services; Richmond (VA); On-site; USD 88,000 - 133,000; Full time

Benefits offered by this job

Bonus potential

Equity

Job summary

CarMax is seeking a data analyst on the Personalization data science team in Richmond, VA. You will analyze large-scale behavioral data, support ML model development, and design rigorous tests to measure impact on search and recommendations.

You will work with data scientists and ML engineers to translate findings into actionable product insights. You will help shape what we test, how we measure success, and how we communicate results to stakeholders.

Qualifications

• 3+ years of experience in an analytical role
• Strong SQL skills and Python for data manipulation and analysis
• Solid foundation in statistics, including hypothesis testing and experimental design
• Experience with large datasets using Spark/Databricks or similar is preferred
• Ability to build and maintain reports in BI tools (Tableau/PowerBI/Looker)

Responsibilities

• Analyze large-scale behavioral data (search queries, click-through rates, purchase patterns, inventory turnover)
• Design, execute, and interpret statistical tests (A/B tests, holdout experiments, pre/post analyses)
• Partner with data scientists on model development, validation, and monitoring
• Translate complex findings into clear narratives for technical and non-technical stakeholders
• Develop and maintain dashboards and reporting to track key metrics over time
• Partner with cross-functional teams in Product, Strategy, Technology, and Operations

Skills

SQL

Python (pandas, matplotlib)

Statistics

Communication

Enthusiasm for search/recommendations

Education

Bachelor's degree in a quantitative field

Tools

Spark

Databricks

Tableau

PowerBI

Looker

Job description

CarMax is seeking a data analyst on the Personalization data science team in Richmond, VA. You will analyze large-scale behavioral data, support ML model development, and design rigorous tests to measure impact on search and recommendations.

You will work with data scientists and ML engineers to translate findings into actionable product insights. You will help shape what we test, how we measure success, and how we communicate results to stakeholders.