Senior Product Data Analyst

CarGurus • Boston, MA

1d • Hybrid

About The Position

CarGurus is looking for a Senior Product Data Analyst to navigate our rich data environment and drive impactful outcomes for our customers and business. You will work cross-functionally to build out core data assets, empower go-to-market teams with revenue-generating insights, and design novel metrics to guide the business.
Our Product Data Analytics org supports our Product, Engineering, and Go-to-Market teams, providing the final word on all analytics for CarGurus’ user and dealer experiences. We are looking for thoughtful, curious, internally driven analytics experts who don’t just pull data, but draw the “so-what” from complex, disparate sources and present these findings to internal teams and external customers.

Requirements

• 4+ years of experience in analytics, with a proven track record of influencing business strategy through complex modeling and applied statistics.
• Expert-level skills in SQL, Python, and dbt. Proficiency with file manipulation and version control via Git.
• Strong data storytelling and communication skills, presenting findings to senior leadership and external customers.
• Hands-on experience leveraging GenAI to optimize workflows and agentic coding platforms like Claude Code (preferred) or Cursor.
• A self-starter who can take a “grassroots” idea, scope its viability, and bring it to scale.
• A natural thought leader with a proven track record of influencing business strategy.
• Strong command of hypothesis testing, parametric/nonparametric regression, and building automated statistical pipelines.
• Knack for creative data visualizations.
• You are a “tactful challenger”. You don’t just accept flawed proposals; you provide data-backed alternatives and can explain p-values to executives as easily as you explain them to technical audiences.
• Strong project planning skills, with experience building roadmaps, estimating required resources, and flagging interdependencies with other teams.

Nice To Haves

• Snowflake, Claude Code, Cursor, Looker/LookML, Omni.

Responsibilities

• 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.
• 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 .
• Architect new data assets and production-grade data marts via dbt. You will fix modeling bottlenecks and optimize data lineages to ensure scalability.
• Serve as the technical expert in high-stakes Go-To-Market engagements. You will partner with Sales and Customer Success teams to provide data-backed proof of value, participating in client-facing meetings to help secure new partnerships or mitigate churn through sophisticated impact analysis.
• Partner with engineering teams to advance the company’s core data modeling and architecture, with a focus on optimizing, integrating, and distilling large raw datasets and metadata.
• 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.
• Use Claude Code and agentic workflows to automate, to automate, accelerate, and escalate the sophistication of your analyses.
• Advocate for specific, data-driven product innovations that help further company strategy, primarily in partnership with the Product, Engineering, and Go-to-Market teams.
• Lead rigorous, holistic discussions about statistical analyses and ML modeling. You are expected to be a “self-teaching” practitioner, staying ahead of quantitative trends.
• Participate in brainstorming and planning discussions across the organization to these ends. Avoid passivity in the face of flawed proposals; tactfully and persuasively push back against potential missteps.
• Craft the metrics that define success. You’ll condense abstract or loosely-defined concepts into concrete calculations and relentlessly audit existing metrics for accuracy and relevance.
• Build intuitive dashboards and other visual monitoring tools to guide stakeholders’ daily decision-making. Experiment with new kinds of visualizations that you believe could be better utilized in the organization. Re-work underlying code to appropriately structure visualization inputs.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees