Senior Data Analyst — Hybrid, Barcelona

About the role

Rover'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.

What you'll do

• Model customer lifetime value and retention. Build the cohort, retention-curve, and LTV models that show how customer value develops over time — and make them something the business can actually steer by.

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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.

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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.

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Write SQL against large event-based datasets, build transformation models (dbt or similar), and review and improve code from other analysts.

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Partner with data engineering to QA business logic and keep our data clean, well-modeled, and measurable from day one.

What we're looking for (must-haves)

• 3+ years using data to drive business impact — finding insights, telling the story, and partnering with cross-functional teams to act on them.
• Strong SQL, including confidence with complex queries on large datasets and reviewing others' code.
• Experience modeling customer behavior — cohorts, retention, lifetime value, or segmentation.
• Solid grounding in statistical analysis with Python or R.
• A clear communicator who makes complex analysis land with technical and non-technical audiences.
• Experience with a data visualization tool (e.g., Mode, Looker, Tableau).

Nice to have

• Experience in a two-sided marketplace, subscription, or consumer business — and a feel for LTV/CAC dynamics.
• Familiarity with transformation models (dbt or similar) and a point of view on what makes a good data model.
• Experience with event or product analytics (e.g., Amplitude).
• Familiarity with any of our stack: Amazon Redshift, dbt, Mode, Statsig, Amplitude, Iterable, or Hightouch.
• Experience mentoring analysts or raising the technical bar without formal management.
• Experience putting agentic AI tools (e.g., Claude) to work in your analytics workflow — to speed up SQL, analysis, or documentation.