> Markdown version of [/jobs/ext/1614618-data-analyst-hybrid](https://www.wearedevelopers.com/jobs/ext/1614618-data-analyst-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - Hybrid - **Company:** Rover's Barcelona - **Location:** Barcelona, Spain - **Salary:** €47,124.0 - €60,319.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Business Logic, Big Data, Information Engineering, Data Visualization, Python (Programming Language), Standard Sql, SQL Databases, Tableau (Software), Usage Analysis, Looker Analytics, Amazon Redshift - **Published:** July 12, 2026 - **Apply:** https://es.trabajo.org/oferta-5354-460611abc835885ecbffc6dcd1dae8b6 ## About the Role 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. 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. Benefits of working at Rover - Long-term incentive plan with a company performance-based cash payout - Pension plan ## Description 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. - Own reporting leaders trust. 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