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Sobre este puesto de Product Data Analyst, International en CarGurus

CarGurus · Híbrido · Dublin, County Dublin, Ireland

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

Join our first Dublin product team! CarGurus is seeking a Product Data Analyst to serve as the local analytics lead for our newly established Dublin tech office. As part of one of our fastest-growing business areas, this role offers a unique opportunity to shape our international data strategy and drive growth across our global marketplaces.

In this role, you will navigate complex data environments, build scalable data assets, drive site experimentation, and tackle unstructured analytics challenges in a fast-paced, two-sided marketplace. Partnering closely with Product, Engineering, and Data teams, you will serve as a trusted authority bridging technical insights with business strategy.

We are looking for an inquisitive, self-directed analyst who demonstrates proactive problem-solving, end-to-end ownership, and clear stakeholder communication. If you are excited to dive deep into complex data to surface actionable, high-impact insights, we’d love to hear from you!

What You'll Do

  • Exploratory & Empirical Analysis: Conduct deep-dive analyses using SQL and Python across disparate data sources (e.g., website usage, subscriptions, inventory) to quantify product performance, user behavior, and market trends.
  • Business & Metric Definition: Condense abstract or loosely defined concepts into concrete calculations and automated dashboards (via Looker, etc.) to guide daily executive decision-making.
  • A/B Testing & Experimentation: Serve as the authority on A/B experimentation - guiding product managers and engineers on tracking requirements, sample sizes, metric selection, and statistical significance. Help improve testing tools, algorithms, and automated processes.
  • Data Engineering & Asset Building: Partner with Data Engineering to optimize core architecture and clickstream logging. Conceive and build automated data transformations (via dbt, LookML) to streamline quick, scalable modeling bottlenecks.
  • Strategic Partnership & Product Innovation: Participate in planning sessions to advocate for data-driven product features aligned with business strategy. Tactfully push back against flawed proposals when supported by data.
  • Executive Communication: Translate complex quantitative findings into clear key takeaways for senior leadership, confidently answering probing, on-the-spot questions.

What You'll Bring

  • Experience: Bachelor’s or Master’s degree with 2+ years of experience in analytics or an analytics-adjacent field, focusing on complex data modeling, quantitative analysis, and applied statistics.
  • Technical Skills: Expert fluency in SQL. Experience with statistical programming languages (Python, R, Stata, SAS) is highly desirable.
  • Statistical Rigor: Solid understanding of core concepts (regression, significance testing, omitted variable bias, independence/dependence).
  • Modern Tooling & GenAI: Hands-on experience leveraging GenAI to optimize workflows and utilizing agentic coding platforms such as Claude Code (preferred) or Cursor.
  • Communication & Influence: Excellent written and verbal communication skills, with proven ability to present high-impact or sensitive findings to executive stakeholders.
  • Mindset & Ownership: Proactive, self-directed mindset willing to step outside the immediate scope, challenge assumptions, and advocate for novel ideas. Strong project planning skills to build roadmaps, estimate resources, and flag cross-functional dependencies.
  • Preferred Tools: Snowflake, Snowplow, dbt, Looker, Jira, Salesforce.

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
€56.000—€79.000 EUR


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

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Cómo se compara este salario de Data Analyst

Este puesto paga $76,646/yr — por debajo de el rango típico para los puestos de Data Analyst.

$60,000 la mediana de $101,700 $160,000

Rango típico $79,500–$129,575/yr, a partir de 965 ofertas comparables de Data Analyst en JobsRadar (salario anualizado en USD). Ver datos salariales de Data Analyst →

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