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Global Analytics Manager (Remote in Barcelona/Madrid)

Docplanner SpainEst. Est. EUR 45,000–70,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Python
  • Sql
  • Tableau
  • Looker
  • Agile
Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently, so they can focus on what really matters: caring for their patients. Learn more about our products here: pro.doctoralia.es Why join us? Real impact – We help doctors help patients. Your work truly makes a difference. At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on. ✨ Shape the future, sustain growth – Make a difference now and build for long-term success. Job Description Leading the analytics team Manage and grow a team of 2-3 analysts: organise workload, set priorities, and keep a healthy pace using agile ways of working (sprints, backlog, clear intake) Coach analysts to grow technically and professionally; hold them accountable for quality and impact, not just output Coordinate and align with stakeholders, both global and local, ensuring the team's work lands where it matters most AI-first team & tooling Coach and upskill the team to work AI-first; using AI to query, code, and analyse faster and more consistently Set the foundations for this to scale: shared libraries, reusable code, and architecture (e.g. GitHub-based repositories) so AI-first practices are systematised, not dependent on individual habits Driving analytics for Individual Doctors & Clinics Partner directly with the VP of Individual Doctors and the VP of Clinics to understand their businesses, identify gaps, and surface opportunities Lead deep dives that go beyond describing what happened to explain why, and what to do about it Propose, run, and analyse experiments (A/B tests and beyond) that inform business decisions Data models & dashboards Build and maintain data models and automations that scale across all 13 markets Build dashboards in Looker and/or Tableau that non-technical stakeholders can actually use to make decisions Keep the team's outputs consistent with BI's dashboard and data standards, escalating gaps rather than working around them Bridging business and data teams Act as the translation layer between business needs (VP of Individual Doctors, VP of Clinics) and Docplanner's data organisation: BI, Data Platform, and Product Analytics Bring the right requirements to each team, and push back respectfully when scope or timelines don't match business priority Go deeper into a specific market when local teams need dedicated analytical support AI-generated insights Build and maintain the interpretation layer between our data systems and end users, turning metrics and models into AI-generated insights people can act on, not just more data to read Surface market performance insights from our metrics and models, and deliver them directly to senior stakeholders in a clear, decision-ready format Qualifications What will help you thrive? Degree in a quantitative field (Engineering, Statistics, Mathematics, Physics, or similar) +5 years of relevant analytics experience, including +1-2 years leading analysts Very good SQL skills (BigQuery preferred); Python is a plus Proven experience designing and maintaining automations and scalable data models. Setting up or scaling AI-first ways of working for a data/analytics team (e.g. AI-assisted querying and coding, shared prompt or code libraries, reusable architecture in GitHub or similar) Skilled at digesting complex data into business language able to summarise findings and frame them as a clear narrative, not just a report, for senior non-technical audiences Hands-on experience with Looker and/or Tabl

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