Senior Data Analyst at rover

Who we are:  At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. 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. At Rover we’re committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us. Who we're looking for We're looking for a 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. The Barcelona team's north star is simple: drive more repeat bookings and lengthen LTV across both pet parents and sitters. Everything we do, from email and push experimentation to attribution work to measurement framework design, ladders up to that.  You'll own meaningful pieces of that work as an independent contributor. 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. When our holdout strategy hits its limits, you'll be part of the team figuring out what comes next. This role rewards intellectual curiosity. 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. We don't expect you to have solved all of these before—we expect you to be genuinely excited to dig in. And because Rover is a two-sided marketplace, you'll hold both sides in mind. The best analyses we do connect the dots. Your impact Own reporting that Marketing actually trusts. 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. You'll be the go-to person Marketing leads come to when a number looks off. Design and analyze experiments. 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. Support the evolution of our measurement framework. You'll partner with the team on incrementality work, stratified holdouts, and attribution model refinement—bringing statistical rigor to questions like how much lift is real, how much is novelty, and how much is noise? Be the analytical bridge to Martech. 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. Unblock the team. 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. Tell stories that drive action. Root-cause analysis is core to this role: when a metric moves, you'll go find out why, 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. Your qualifications • 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. • Demonstrated ability to manage analytical work independently—scoping, prioritizing, and delivering without needing to be micromanaged. • Data visualization tool experience (e.g., Mode, Looker, Tableau). • Genuine intellectual curiosity about measurement problems, and comfort sitting with ambiguity while you figure them out. Nice to have • Experience supporting a Lifecycle Marketing, CRM, or retention function, particularly with email, push, or SMS programs. • Familiarity with marketing attribution concepts (MMM, last-touch, multi-touch) and an interest in where attribution modeling is headed. • 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. • Familiarity with any part of our stack: 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. Benefits of working at Rover • Long-term incentive plan with a company performance-based cash payout • Pension plan • Private medical insurance • 25 days PTO • Meal allowance and flexible compensation plan (transport and nursery) • Gym membership • €450 to cover the costs associated with the adoption of a pet • Annual €150 wellness reimbursement • Flexible 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 • Grab snacks, fresh fruit, in our kitchen to keep yourself going • Regular team activities, events, game nights, and more • Dog-friendly office Rover is an equal-opportunity employer committed to promoting a diverse, inclusive, and inventive environment with the best employees. We’re driven by seeing our people succeed and grow, and we work to ensure everyone contributes to their fullest potential. 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.