Headquartered in Seattle and Barcelona, we're a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We're investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community.

We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington's Best Workplaces in the Puget Sound Business Journal. Senior Data Analyst

to join our Barcelona Marketing Analytics team, partnering closely with Lifecycle Marketing (our CRM / retention function) to shape how Rover measures and grows long-term customer value.

You'll be the person who turns messy marketing data into reporting that leadership can actually lean on; who partners with our Lifecycle Marketing, Martech, and Analytics Engineering teams to QA business logic and keep our data clean; and who designs and analyzes tests, not only classic A/B tests, but cross-channel retargeting and BD experiments where the measurement gets harder. Our incrementality analyses wrestle with real puzzles: mix-shift between markets, novelty-effect decay on mature cohorts, holdout leakage, and interaction between transactional and marketing sends. The best analyses we do connect the dots.

Build and maintain the dashboards, data models, and reporting layers that Lifecycle Marketing and broader Marketing leadership rely on day-to-day. Proactively identify where our reporting is noisy, inconsistent, or missing, and fix it. Own the end-to-end lifecycle of tests in your area—from scoping the hypothesis and picking the right measurement, to running the analysis, to writing up the result and socializing what we learned.



You'll partner with Lifecycle Marketing on their monthly testing cadence, and you'll take on harder cross-channel and retargeting tests where the measurement isn't obvious.

Partner with our Martech and Analytics Engineering teams to QA business logic in our CRM pipelines, validate audience data, and make sure the campaigns Lifecycle Marketing launches are measurable from day one. You'll be the analytics voice in conversations about tooling and data flow.

A senior IC on this team makes everyone around them more effective. You'll review SQL, pressure-test analytical approaches, and help raise the bar on how we structure our work.

Root-cause analysis is core to this role: when a metric moves, you'll go find out

tie it to marketplace dynamics on both the demand and supply side, and bring a clear narrative to the people who need to act on it.

3+ years of experience using data to drive business impact, including identifying actionable insights, crafting compelling narratives, and partnering with cross-functional teams to define and implement solutions.

Strong proficiency in SQL—confident writing complex queries against large event-based datasets, and comfortable reviewing and improving code from other analysts.

Hands-on experience building and maintaining transformation models (dbt or similar) and a point of view on what makes a good data model.





Solid grounding in statistical analysis using Python or R—hypothesis testing, regression, bootstrapping—and an understanding of the trade-offs between different measurement approaches.

Proven experience owning A/B testing end-to-end: experimental design, sample size, analysis, and write-up.

A clear communicator who can make complex analyses land with both technical and non-technical audiences, and who enjoys partnering directly with business stakeholders.

Data visualization tool experience (e.g., Mode, Looker, Tableau).

Experience supporting a Lifecycle Marketing, CRM, or retention function, particularly with email, push, or SMS programs.

Exposure to incrementality testing, causal impact models, geo-based experiments, or similar approaches beyond classic A/B holdouts.

Experience in a two-sided marketplace, with a gut feel for how supply and demand dynamics show up in the data.

Amazon Redshift, dbt, Mode, Statsig, Amplitude, Iterable, or Hightouch.

Track record of mentoring junior analysts or raising the technical bar on a team without formal management responsibility.

Long-term incentive plan with a company performance-based cash payout

Private medical insurance

Versátil work hours, sometimes you'll need to be in at certain times, but on the whole, we're pretty flexible when it comes to managing workload and time

Regular team activities, events, game nights, and more

Dog-friendly office

We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, protected veteran status, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable laws, regulations, and ordinances.

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📌 Senior Data Analyst (Python) (Laza)
🏢 Rover.Com
📍 Laza