Who we are

At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years.

What we do

The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride!

Role overview

We are looking for a Senior Product Data Analyst to join our Dealer team which tackles a complex data environment, building out core assets, running experiments, and many more unstructured analytics tasks to support the growth of the dealer product suite.

Our Product Data Analytics org as a whole supports our Product and Engineering teams, providing the final word on all analytics for CarGurus’ user and dealer experiences. We are looking for thoughtful, curious, internally driven candidates who can dive into complex data and draw novel, insightful conclusions.

What you’ll do

• Conduct exploratory empirical analyses using SQL and Python that bridge disparate data sources (e.g. website usage, subscription records, inventory volumes, etc.). to quantify product performance, user behavior, and/or market trends. Distill unstructured “big data” around product performance, user behavior and/or market insights into actionable outcomes.
• Creatively compress sweeping, high-level exploratory requests into specific calculations that address your stakeholders’ underlying needs. Relentlessly dig into the data, taking initiative to consult with other individuals and teams as you judge necessary. Go beyond the letter of the initial assignment, to hammer out any anomalies or self-direct your inquiry into other relevant issues.
• Advocate and participate in brainstorming/planning sessions for specific, data-driven product innovations that help further high-level company strategy, primarily in partnership with the Product/Engineering teams.
• Avoid passivity in the face of flawed proposals; tactfully and persuasively push back against potential missteps.
• Craft, audit and improve metrics that define business success, condensing abstract or loosely-defined concepts down to concrete calculations.
• Experiment with new kinds of visualizations, build intuitive dashboards and other visual monitoring tools to guide daily decision-making by senior stakeholders and the company at large. Re-work underlying code to appropriately structure visualization inputs.
• Communicate and present complex quantitative findings in easily digestible terms to company leadership, homing in on key takeaways. Concretely and informatively respond to any probing, on-the-spot follow-up questions from senior decision-makers.
• Conceive of new data assets and build automated transformations (via DBT, LookML, etc.) to bring them to fruition.
• Partner with Data Engineering teams to advance core data modeling/architecture (e.g. user clickstream logging), by optimizing, integrating, and distilling large raw datasets and metadata.
• Draw upon prior experience with expansive, unrefined datasets to fix modeling bottlenecks in quick, scalable, outside-of-the-box ways.
• Use Claude Code and agentic workflows to automate, accelerate, and escalate the sophistication of your analyses.
• Be comfortable escalating and automating your analyses using R/Python scripting.

What you’ll bring

• 4+ years of experience in analytics, ideally involving complex modeling, quantitative analysis and applied statistics 2+ years of experience communicating the high-impact results of analyses to leadership teams to influence strategy
• Hands-on experience leveraging GenAI to optimize workflows and agentic coding platforms like Claude Code (preferred) or Cursor
• Expert fluency in SQL. A strong background with either R or Python is highly desirable.
• Second-nature understanding of core statistical concepts (regression, significance testing, omitted variable bias, independence/dependence, etc.)
• Willingness to step outside your role and independently come up with novel ideas for the business.
• Willingness to challenge others’ ideas and advocate for your own.
• Strong project planning skills, with experience building roadmaps, estimating required resources, and flagging inter-dependencies with other teams/projects.
• Preferred tools/programs: Snowflake, Snowplow, dbt, Claude Code or Cursor, Looker/Omni, Jira, Salesforce, Google/MS suite

The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles.

Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training.

This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs).

Position Pay Range$120,000—$151,000 USD

Working at CarGurus

We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives.

CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate.

We welcome all

CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid