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Senior Data Analyst

Docplanner
SpainRemotefull_timeVerifiedPosted 12 Feb 2026

About the role

Company Description

Welcome to the good side of tech 👋

You might have heard about us, but with a different name: Znanylekarz. It all started 10 years ago, when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and we empowered patients by giving them access to leave and read reviews about their visit. We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients. And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human?

Docplanner at scale

We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 300.000 specialists2 mln bookings per month believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners. And yet, employing over 2.500 people all over the globe, we managed to keep the startup-mindset we started with over 10 years ago.

How does Docplanner Tech fit here?

At Docplanner Tech we are a diverse group of over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement.

We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us

And why should you join us?

Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs.

We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote friendly.

Job Description

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
     

  • Trans

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Company

Docplanner

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