Senior Data Analyst at Docplanner

Senior Data Analyst – PMS Data Foundations Location: Madrid (Hybrid) Our Practice Management Systems (PMS) operate across multiple countries and products - but today, the local PMS data foundations are fragmented, inconsistent, and in some cases non-existent. This role exists to fix that - from the root. We’re looking for a Senior Data Analyst who can rebuild core PMS data foundations while simultaneously supporting urgent analytical business needs. This is not a “clean dashboard-only” role. It’s a hands-on, technical, sometimes messy role that requires curiosity, speed, resilience, and strong business judgment. In the future, this role may evolve toward broader Data functions - but first, the foundations need to be built. This role sits at the intersection of: • PMS product & engineering teams • Data Platform & Business Intelligence • Business stakeholders who need answers now, not “after the perfect model exists”   You will work closely with PMS engineering leadership, data platform teams, and business stakeholders across multiple markets. Key Responsibilities 1. Rebuilding PMS Data Foundations • Analyze and understand existing PMS data flows, tables, and definitions (often undocumented)   • Rebuild and standardize core PMS data models from the ground up   • Define and document key business metrics, entities, and logic   • Create and maintain clear data definitions and documentation   • Partner closely with Data Platform and PMS engineering teams to ensure scalable solutions   2. Hands-on Data Delivery (While Rebuilding) • Write fast, complex, and reliable SQL to answer business questions   • Deliver ad-hoc and recurring analyses while infrastructure is still evolving   • Balance long-term data quality with short-term business needs   • Support stakeholders with data exploration, validation, and interpretation   3. Cross-functional Collaboration • Act as a bridge between technical and non-technical teams   • Translate business questions into data requirements (and vice versa)   • Work with developers in PMS teams where local data expertise may not exist   • Influence decisions without formal authority