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Senior Data Analyst (Customer Success Operations)

Docplanner
Contract type
Ongoing
Work mode
Remote
Experience
Mid-level · 3+ years

Job description

Analytics role within Docplanner's Global Customer Success Operations & Analytics team, dedicated to one Customer Success business line (Individual Doctors or Clinics), building reporting, dashboards, data models and increasingly statistical/predictive models to support the business line's VP across 13 markets.

At a glance

Employment
Full-time
Work mode
Remote
Languages
English – fluent, Spanish

What you'll do

  • Build and maintain the recurring reporting, dashboards (Tableau, Superset), and data models your business line runs on
  • Build and maintain automations that scale across markets
  • Keep outputs consistent with BI's dashboard and data standards, escalating gaps rather than working around them
  • Review, update, and improve the statistical and predictive models your business line already relies on
  • 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 day-to-day analysis, not just descriptive reporting
  • Work AI-first: use AI to query, code, and analyse faster and more consistently
  • Use and contribute to the team's shared libraries, reusable code, and architecture (e.g. GitHub-based repositories)
  • Act as the translation layer between your business line and Docplanner's data organisation: BI, Data Platform, and Product Analytics
  • Bring the right requirements to each team, and flag when scope or timelines don't match business priority
  • Partner directly with the VP of your assigned business line and their team to understand the business, identify gaps, and surface opportunities
  • Lead deep dives that go beyond describing what happened to explain why, and what do next
  • Propose, run, and analyse experiments (A/B tests and beyond) that inform business decisions
  • Own the day-to-day sequencing of your own workload: triage incoming requests, judge urgency and impact, and decide what to tackle first
  • Align directly with assigned business and data stakeholders on what matters and when
  • Escalate cross-team or resourcing trade-offs to your manager

What we're looking for

  • Degree in a quantitative field (Engineering, Statistics, Mathematics, Physics, or similar)
  • +3-5 years of relevant analytics experience as an individual contributor
  • 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
  • Experience working cross-functionally, partnering with non-technical stakeholders across departments
  • Professional fluency in English
  • Proactive by default: you spot what needs doing and raise the level of execution around you
  • Owner with entrepreneurial mindset: own your work, your results, and everything in between
  • Able to prioritise your own workload with sound criteria, and know when to align with stakeholders versus escalate to your manager
  • Comfortable navigating ambiguity, driven by results
  • Understands the capabilities and limits of AI/LLMs and has experience building things with them (professionally or on your own)
  • Track record of scoping problems, running high-quality quantitative analysis, and developing insights that drive decisions
  • Communicates complex concepts simply and clearly; builds trust across a wide range of stakeholders

Nice to have

  • Spanish is a plus
  • 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
  • Curiosity about healthcare and SaaS

Your team

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).

Benefits

  • Healthcare insurance
  • Wellness that works for you – from gym memberships to mental health support
  • Time off that counts – vacation, your birthday, or just a day to recharge
  • Local perks depending on location, like meal vouchers, transport allowances, or extended parental leave
  • Career growth – chances to learn, develop, and explore new paths 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
  • Remote work and flexible hours
  • Welcome at any of our hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome or Bologna

How to get hired

  1. 1Intro Chat – A first call with Talent Partner Ashleigh Hill
  2. 2Hiring Manager Interview – A deeper conversation with Andreu Passola, your potential manager
  3. 3Technical Interview – A short SQL assessment and discussion with our Head of BI
  4. 4Business Case – A take-home exercise incl. a few days' preparation time, followed by a collaborative discussion with the hiring manager and stakeholder panel
  5. 5Additional/ Final Interview (Optional) – A final conversation with another senior leader/stakeholder/peer from our Global Team
  6. 6References & Offer

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About Docplanner

The world's largest healthcare platform

Docplanner Group connects 24 million patients with 280k doctors across 13 countries each month through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda. Its marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently.

Mission

Help people live longer, healthier lives.

Key facts

  • 3,000+ employees
  • Healthcare platform / SaaS
  • Connects 24 million patients with 280k doctors across 13 countries each month
  • Brands include ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda
  • Customer Success organisation serves hundreds of thousands of healthcare professionals across 13 markets
  • Hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome and Bologna
  • Does not sponsor visas for this position

What they value

  • Focus on results – we're here to make an impact
  • Think like an owner – take responsibility, drive outcomes
  • Keep it simple, keep it lean – smart solutions over complexity
  • Be respectful and radically honest – openness builds trust
  • Learn and be curious – growth is part of the job