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. 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. At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on.

Docplanner's Customer Success organisation serves hundreds of thousands of healthcare professionals across 13 markets. Two global business lines sit at the centre of that effort, Individual Doctors and Clinics, each led by a VP who needs sharp, reliable analytics to grow their business and make decisions with confidence. This role sits within Global Customer Success Operations & Analytics, the team that acts as the connective layer between the business and Docplanner's data organisation: BI (dashboard and data standardisation), Data Platform (infrastructure, architecture, DWH), and Product Analytics (product launches and opportunities).

This role is dedicated to one business line, partnering closely with that VP and their leadership team on the deep dives, data models, dashboards, and experiments needed to run and grow the business across our 13 markets. You’ll report to the General CS Ops analytics manager, who sets the team's priorities and supports big projects the team takes on. Within that frame, you own how your own time is spent day to day, prioritizing incoming asks, sequencing your backlog,



and deciding what needs your manager's input versus what you can resolve directly with your business and data stakeholders.

Reporting, dashboards & data models Build and maintain the recurring reporting, dashboards (Tableau, superset), and data models your business line runs on Keep outputs consistent with BI's dashboard and data standards, escalating gaps rather than working around them Over the next year, we expect a meaningful shift toward analytical modelling (statistics and prediction) Build MVPs for new predictive or statistical use cases, handing them off to Data Science once validated Bring regression, forecasting, and other statistical techniques into your day-to-day analysis, not just descriptive reporting GitHub-based repositories) Bridging business and data teams Act as the translation layer between your business line and Docplanner's data organisation: BI, Data Platform, and Product Analytics Propose, run, and analyse experiments (A/B tests and beyond) that inform business decisions Align directly with assigned business and data stakeholders on what matters and when Escalate cross-team or resourcing trade-offs to your manager, who owns prioritisation of the team's big projects Very good SQL skills (Amazon Redshift preferred); solid Python, especially for statistical and predictive modelling ~ Working knowledge of statistical modelling (regression analysis, forecasting/prediction, A/B testing) ~ Hands-on experience with Superset and/or Tableau, building dashboards for non-technical audiences ~ Skilled at digesting complex data into business language: able to summarise findings and frame them as a clear narrative, not just a report ~ Professional fluency in English (Spanish is a plus) Track record of scoping problems,



running high-quality quantitative analysis, and developing insights that drive decisions Extra advantage Experience building or validating statistical/predictive models and handing them off to a Data Science team Experience in tech companies, start-ups, and/or consultancy. Here’s what the process usual looks like (though it might vary slightly depending on the role): Intro Chat – A first call with our Talent Partner Ashleigh Hill to explore mutual fit around relevant skills, value alignment, and motivation. Take this chance to ask anything on your mind - it’s just as much about making sure we’re the right fit for you, too.

Technical

Interview – A short SQL assessment and discussion with our Head of BI. Additional/ Final Interview (Optional) – A final conversation with another senior leader/stakeholder/peer from our Global Team. Why You’ll Love It Here Global Benefits – No matter where you are, you’ll have access to: Healthcare insurance – so you can focus on what matters. Time off that counts – whether it’s a vacation, your birthday, or just a day to recharge, we believe in balance.

Local

Perks – Depending on your location, you will be entitled to local benefits like meal vouchers, transport allowances, or extended parental leave. You’ll find lots of chances to learn, develop, and explore new paths - whether within your team or through cross-functional projects. A Truly Global Team – Work with talented people from all over the world in a diverse and inclusive environment.

Flexibility That

Works for You – Remote work and flexible hours aren’t just buzzwords here. Prefer an office setting? At this time, we are not able to sponsor visas for this position. To apply, you must already have the legal right to work in your country of residence or the location of the role. Keep it simple, keep it lean – smart solutions over complexity. Don’t just take our word for it—check out our Glassdoor to hear what our people say!

📌 Senior Data Analyst (Customer Success Operations) (Madrid)
🏢 Doctoralia Mexico
📍 Madrid