Cargurus

Product Data Analyst, International

Dublin, County Dublin, Ireland

Live, first seen by us 32 days ago

Pay: Pay amount needs review — pay source
Position Pay Range €56.000—€79.000 EUR Working at CarGurus
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

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.

We are looking for an inquisitive, self-directed analyst who demonstrates proactive problem-solving, end-to-end ownership, and clear stakeholder communication.

Run deep-dive SQL and Python analyses across website usage, subscriptions and inventory data
Define metrics and build automated dashboards in Looker
Advise product managers and engineers on A/B test design, sample sizes and significance
Build automated data transformations in dbt and LookML
Translate findings into clear takeaways for senior leadership

From the employer’s posting

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!

Conduct deep-dive analyses using SQL and Python across disparate data sources (e.g., website usage, subscriptions, inventory)

Condense abstract or loosely defined concepts into concrete calculations and automated dashboards (via Looker, etc.)

guiding product managers and engineers on tracking requirements, sample sizes, metric selection, and statistical significance

Conceive and build automated data transformations (via dbt, LookML)

Translate complex quantitative findings into clear key takeaways for senior leadership

Education & alternatives

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.

About Cargurus

At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination.

In the employer’s words · Read in context

Apply at Cargurus

Posting record

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Status in our records: Live
First seen by us: Oct 3, 202632 days ago
Recorded sightings: 26
Last seen by us: Nov 4, 2026
Employer says posted: Oct 1, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 32

Similar jobs usually come down between day 5 and day 41.

At Cargurus, jobs usually come down by about day 60.

From 10,879 similar postings that came down, and 6 of Cargurus’s. Coming down is not always a hire.

Cargurus is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SAS
SQL
dbt
Looker
Snowflake

Where the posting names them

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.

- 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).

- 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.

- 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.

- 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.

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Complete your application on careers.cargurus.com. The employer’s form will show what is required.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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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