Senior Data Analyst at Docplanner

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modeling, Data Warehousing, Data Analysis, Data Validation, Data Interpretation, Tableau, Power BI, Superset, Python, DBT, Cloud Data Platforms, AWS, GCP, Azure, Communication

Industry

technology;Information and Internet

Description

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 specialists, 2 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 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 Qualifications Must-haves (non-negotiable) Very strong SQL skills - you can write complex queries quickly and confidently Experience working with messy, incomplete, or poorly structured data Solid understanding of data modeling and data warehousing concepts Ability to work autonomously in ambiguous environments, handling different stakeholders and different requirements. Strong business mindset - you care about why the data matters, not just how Hands-on mentality: you’re comfortable doing the “not-so-nice” work Technical background 3-6+ years in data analytics, data engineering, or similar roles Proficiency with data visualization tools (Tableau, Power BI, Superset or similar). Experience with Python for data analysis, automation, or data processing Experience with DBT (models, tests, documentation) Familiarity with cloud data platforms (e.g. AWS, GCP, Azure) Experience working closely with engineering teams Soft skills & mindset Resilient and persistent - this is a tough role, not a polished one Curious and proactive - you dig deep to understand root causes and to detect flaws Pragmatic - you know when “good enough” beats “perfect” Clear communicator who can adapt to different audiences Motivated by impact, not just titles or tools Location & collaboration Madrid is strongly preferred, as most PMS business, product and engineering stakeholders are based there Hybrid working is supported Additional Information B2B or Employment contract - you choose. True flexibility and work-life balance Remote or hybrid work model with or hub in Warsaw; Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly); 20/26 days of paid time off (depending on your contract); Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate). Health comes first Private healthcare plan with Signal Iduna for you and subsidized for your family. Multisport card co-financing for you to have access to sports facilities across Poland. Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling. Keep growing with us Free English classes.

Responsibilities

The primary focus is rebuilding and standardizing core Practice Management Systems (PMS) data foundations across multiple countries, which involves analyzing undocumented data flows and defining key business metrics. Simultaneously, the role requires hands-on data delivery by writing complex SQL to answer urgent analytical business needs while the infrastructure is evolving.