Senior Data Analyst — Hybrid, Barcelona
Quick Summary
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.
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.
Own the data behind customer lifetime value and repeat bookings at Rover — modeling how customers behave over time and turning a large event-based warehouse into reporting our leaders actually trust. A senior, hands-on analytics role on our Barcelona team.
About the Role
~4 min readRover's Barcelona analytics team has one north star: grow customer lifetime value and drive more repeat bookings across both sides of our marketplace of pet parents and sitters. As a senior individual contributor, you'll own the models, metrics, and reporting that explain how customers retain, churn, and come back — and you'll dig into why.
You'll report to the Analytics Manager and partner closely with data engineering and the teams responsible for retention and growth.
This is a hybrid role: we're in our Poblenou office two days a week (Mondays and Thursdays), so you'll need to be based in Barcelona or willing to relocate.
Own reporting leaders trust. Build and maintain the dashboards, data models, and reporting layers leadership leans on day-to-day, and proactively fix what's noisy, inconsistent, or missing. You'll be the go-to when a number looks off.
Root-cause the metrics. When retention or repeat-booking behavior shifts, find out why, tie it to demand- and supply-side marketplace dynamics, and bring a clear narrative to the people who need to act.
Write SQL against large event-based datasets, build transformation models (dbt or similar), and review and improve code from other analysts.
Partner with data engineering to QA business logic and keep our data clean, well-modeled, and measurable from day one.
Location & Eligibility
Listing Details
- Posted
- April 20, 2026
- First seen
- April 20, 2026
- Last seen
- June 9, 2026
Posting Health
- Days active
- 49
- Repost count
- 0
- Trust Level
- 25%
- Scored at
- June 9, 2026
Signal breakdown
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