Global Senior Data Analyst - Visibility Products (Remote Friendly)

<h3>Company Description</h3><p>At Docplanner Group, we’re on a mission to help people live longer, healthier lives. 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.<br/> Learn more about our products here:<a href="https://pro.doctoralia.es/"> pro.doctoralia.es</a></p><p><strong>Why join us?</strong></p><p>📊 Real impact – We help doctors help patients. Your work truly makes a difference.</p><p>📈 At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on.</p><p>💰 Pre-IPO &amp; growing – We’re backed by leading VC funds including One Peak Partners, Goldman Sachs Asset Management, and Point Nine Capital, raising a total of approx. €400m to date. Now, we’re focused on profitability and IPO preparation. It’s an exciting time to join us.</p><p>✨ Shape the future, sustain growth – Make a difference now *and* build for long-term success.</p><h3>Job Description</h3><p>We are currently looking for a data-driven and results-oriented Senior Data Analyst to join our Global Visibility Products team. You will play a pivotal role in identifying and executing on growth levers for these products. Your responsibilities will include analyzing data to uncover opportunities in acquisition, cross-selling, upselling, product portfolio enhancement, package design, pricing optimization, and other levers to unlock value from our future and existing customer base. This is a unique opportunity to work at the intersection of data and strategy, driving insight through analysis to then align and execute in a scale-up environment.</p><p>In this role, you will contribute by…</p><ul><li><p>Independently leading data analytics and modeling with a special focus on MRR increase:</p><ul><li><p>Data queries and solid understanding of data management topics (SQL, BI tools)</p></li><li><p>Business/financial modeling (business analysis, forecasting, budget simulations)</p></li><li><p>Machine learning application (prediction models, clustering, decision trees etc.)</p></li></ul></li><li><p>Supporting the execution of key strategic projects to drive acquisition, cross-sell/upsell/pricing &amp; packaging initiatives across our footprint, working hand in hand with local teams:</p><ul><li><p>Liaise with in-market stakeholders to present insights from your analyses and come up with actionable recommendations (e.g., optimizing processes, fixing pricing of an expansion product, proposing product modifications, modifying package design)</p></li><li><p>Overall project management for selected initiatives in the Visibility portfolio (align on project scope and plan, monitor execution, resolve issues etc.) </p></li><li><p>Co-design, run and scale experiments in acquisition, cross-sell/upsell/pricing &amp; packaging from one market into global projects.</p></li></ul></li><li><p>Support the design and constant optimization of the global Visibility Products organization within  the Customers function, through:</p><ul><li><p>Productivity (product automations, operations effort optimisation and capacity utilisation)</p></li><li><p>Best practices (cross-market sharing, external expertise/benchmarks)</p></li><li><p>Insights (data analysis, research projects, experimentation)</p></li></ul></li></ul><p>How we define success for this role:</p><ul><li><p>Delivery of data analyses based on agreed scope - timely, with attention to detail, factoring in stakeholders’ inputs and business context</p></li><li><p>Successful execution of projects/initiatives based on insights derived from data analysis (focused on MRR growth)</p></li></ul><h3>Qualifications</h3><p><strong>What will help you thrive?</strong></p><ul><li><span>You have 3-6 years of professional experience</span></li><li><p>You're fluent in English (any other languages - e.g. Spanish, Portuguese, Polish etc. - is a plus!)</p></li><li><p>Ideally, a Business, Data Science, Statistics, Math/Physics, Finance or other quantitatively oriented educational background with solid business fundamentals </p></li><li><p>Technical expertise in working with large data sets:</p><ul><li><p>knowledge of Tableau/SuperSet / other BI tools - ability to edit/create dashboards</p></li><li><p>knowledge of SQL and experience in working with databases - e.g. from prior BI experience</p></li><li><p>desirable but not mandatory - knowledge and passion for data science (Python modeling experience; knowledge of the key data science algorithms: clustering, regression, decision trees, x-gradient boost, etc.)</p></li></ul></li><li><p>Prior experience working in SaaS and/or marketplace business model (either as operator in consulting / investing capacity) - experience in start-up/scale-u