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Global Analytics Manager; Remote in Barcelona​/Madrid

Remote / Online - Candidates ideally in
Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Jobicy
Remote/Work from Home position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 101000 - 146000 USD Yearly USD 101000.00 146000.00 YEAR
Job Description & How to Apply Below
Position: Global Analytics Manager (Remote in Barcelona/Madrid)
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 Znany Lekarz, Doctoralia, Mio Dottore, Doktor Takvimi, 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. Git Hub-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 (Big Query 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 Git Hub 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…
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