below marketmost similar roles pay hereabove market
This role pays less than
90%
of similar roles. Most pay
$123,187–$186,237
— the blue band above.
At the midpoint, this role pays about
$110k
versus about
$155k
for comparable roles.
Based on 240 similar postings.
Employer
About Carmax
CarMax is the largest used car retailer in the United States, offering a customer-friendly, no-haggle buying experience with a broad selection of quality used vehicles, financing, and vehicle protection plans. Industry: Automotive Retail
Carmax currently has
33 open roles
on FindRole.
Listed pay typically runs
$104,000–$156,000
across 19 roles with salary data.
The Senior Analyst, Search Measurements and Analytics joins the Marketing Analytics team to manage measurement, analysis, and causal inference for the search space. This role involves owning the analytics backlog, designing and executing incrementality tests, and building data foundations, statistical models, and dashboards to isolate the true impact of paid search spend. You will translate ambiguous business questions into structured analyses, pressure-test agency-delivered reporting, and provide budget recommendations based on mROI curve builds. Key technical requirements include strong SQL and Python (pandas) skills for modeling large datasets, along with experience in hypothesis testing, significance and power analysis, and causal inference methods like geo holdouts. You will also utilize BI tools like Tableau or Looker to support retail and supply program performance across paid search channels.
Design and execute incrementality tests and holdout experiments to isolate the true impact of paid search spend.
Build and maintain data foundations, statistical models, and dashboards to provide a defensible view of channel performance.
Translate ambiguous business questions into structured analyses and specific, actionable recommendations for leadership.
Own and prioritize an analytics backlog to manage competing research, testing, and measurement tasks.
Provide monthly mROI curve builds to translate diminishing-returns analysis into specific budget recommendations.
Independently validate and pressure-test analysis and reporting delivered by external agency partners.
Contribute to portfolio-level budget allocation and cross-channel measurement strategy conversations.
What we're looking for
3+ years of experience in an analytical role, preferably in marketing analytics, media analytics, or a 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, and causal inference methods.
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 like Tableau or Looker.
Proven track record of translating ambiguous data into specific, actionable recommendations for analysts and executives.
Bachelor's degree in a quantitative field (statistics, economics, math, marketing analytics, or similar) or equivalent practical experience.
Experience with paid search platforms, GenAI tools, or collaborating with external media agencies (preferred).
SQL
Python
SAS
Data Visualization
A/B Testing
Data Mining
Neural Networks
Adobe Analytics
Google Ads
Meta Ads Manager
Bing Ads
SA360
Cloud
Exploratory Data Analysis
Data Wrangling
IoT
Floodlight tags
Media Mix Modeling
Multi Touch Attribution
SQL
Python
R
Databricks
BigQuery
Machine Learning
Multivariate Regression
Optimization Algorithms
Generative AI
RShiny
Ads Data Hub
Data Science