Docplanner is seeking a Senior Data Analyst to take on a foundational role rebuilding our core Practice Management Systems (PMS) data. This is a hands-on, technical position where you'll use strong SQL skills and business judgment to deliver critical analyses while simultaneously fixing fragmented and inconsistent data infrastructure. You'll sit at the intersection of PMS product & engineering teams, Data Platform & Business Intelligence, and business stakeholders across multiple countries and products.

What You'll Do

Analyze and understand existing PMS data flows, tables, and definitions, which are 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.
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.
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.

What We're Looking For

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.

Nice to Have

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.

Technical Stack

SQL
Python
DBT
Cloud data platforms (AWS, GCP, Azure)
Data visualization tools (Tableau, Power BI, Superset)

Team & Environment

You'll join over 400 people in Engineering, Data, and Product teams at Docplanner Tech. You will work closely with PMS engineering leadership, data platform teams, and business stakeholders across multiple markets.

Benefits & Compensation

True flexibility and work-life balance.
Remote or hybrid work model with a 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).
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.
Free English classes.

Work Mode

This is a hybrid position with the option to be fully remote. The primary location is Madrid.

Docplanner is an equal opportunity employer. We want to make the healthcare experience more human and believe taking the diversity of human experience into account makes a better healthcare experience for all. We embrace diversity and encourage you to come to work your whole self.