Cabify believes smarter decisions are powered by great data — and they’re looking to grow their Analytics team with someone who’s curious, detail-oriented, and business-savvy enough to turn insights into real impact. With over 30 specialists across SQL, data visualization, and analytics, Cabify’s Analytics team supports high-impact decisions across product, growth, operations, and tech. ? The selected candidate will work as part of a multidisciplinary squad, closely collaborating with Product Managers, Engineers, and Growth & Business teams. You’ll have access to one of the largest Tableau Server platforms in Europe, and work with BigQuery, Redshift, Airflow, GitLab, and a variety of leading data tools. Key Responsibilities Analyze large data volumes using SQL efficiently Build ETL models using Airflow Develop dashboards in Tableau / PowerBI and track key KPIs Present insights to guide product and business decisions Define events, integrations,



and data structures with the Engineering team Collaborate in the design of new features and measure their impact Create trusted data sources for wider company use Document and version your code using GitLab What We’re Looking For 3+ years of experience as a Data Analyst Advanced SQL skills and experience with large-scale data analysis Knowledge of visualization tools (Tableau, PowerBI, Qlik, Looker) Educational background in Statistics, Engineering, Economics, or related fields English: Upper-Intermediate or above (B2+ level) ? Bonus points for experience in Product Analytics (Amplitude, Datadog, Mixpanel) and training in Business Intelligence or Business Analytics. The Offer Full-time contract | Based in Madrid Hybrid model: 2 remote workdays per week + 6 additional weeks per year Competitive salary Extra paid "recharge days" to rest and reset Adaptable benefits: health, transport, meal allowance, childcare Mental wellness platform (iFeel) and access to Coursera Free Cabify rides Want to help shape the future of urban mobilit

📌 Data Analyst | Cabify (Madrid)
🏢 Inhaus
📍 Madrid