Global Senior Data Analyst - Visibility Products (Remote Friendly)
Barcelona, CT, Spain
Docplanner
Find the best physicians, search by location and specialty. Book your doctor appointment online on Doctoralia. Ask an expert.Company Description
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.
Learn more about our products here: pro.doctoralia.es
Why join us?
📊 Real impact – We help doctors help patients. Your work truly makes a difference.
📈 At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on.
💰 Pre-IPO & 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.
✨ Shape the future, sustain growth – Make a difference now *and* build for long-term success.
Job Description
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.
In this role, you will contribute by…
Independently leading data analytics and modeling with a special focus on MRR increase:
Data queries and solid understanding of data management topics (SQL, BI tools)
Business/financial modeling (business analysis, forecasting, budget simulations)
Machine learning application (prediction models, clustering, decision trees etc.)
Supporting the execution of key strategic projects to drive acquisition, cross-sell/upsell/pricing & packaging initiatives across our footprint, working hand in hand with local teams:
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)
Overall project management for selected initiatives in the Visibility portfolio (align on project scope and plan, monitor execution, resolve issues etc.)
Co-design, run and scale experiments in acquisition, cross-sell/upsell/pricing & packaging from one market into global projects.
Support the design and constant optimization of the global Visibility Products organization within the Customers function, through:
Productivity (product automations, operations effort optimisation and capacity utilisation)
Best practices (cross-market sharing, external expertise/benchmarks)
Insights (data analysis, research projects, experimentation)
How we define success for this role:
Delivery of data analyses based on agreed scope - timely, with attention to detail, factoring in stakeholders’ inputs and business context
Successful execution of projects/initiatives based on insights derived from data analysis (focused on MRR growth)
Qualifications
What will help you thrive?
- You have 3-6 years of professional experience
You're fluent in English (any other languages - e.g. Spanish, Portuguese, Polish etc. - is a plus!)
Ideally, a Business, Data Science, Statistics, Math/Physics, Finance or other quantitatively oriented educational background with solid business fundamentals
Technical expertise in working with large data sets:
knowledge of Tableau/SuperSet / other BI tools - ability to edit/create dashboards
knowledge of SQL and experience in working with databases - e.g. from prior BI experience
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.)
Prior experience working in SaaS and/or marketplace business model (either as operator in consulting / investing capacity) - experience in start-up/scale-up environment and passion for technology or healthcare is a plus
Prior experience in business analysis and modelling will be a plus (financial models, forecasting, business performance measurement etc.)
Ability to package insights and communicate with stakeholders / lead working sessions with larger teams
Desirable proven experience in designing and implementing advanced analytics (data preparation, feature engineering, sample management, model validation and productization)
Proven experience working with multicultural teams, demonstrated communication skills and ability to navigate within a complex organisation
Demonstrated experience in collaborating with go-to-market, operations, data engineering and product teams.
Additional Information
What to Expect from Our Hiring Process
We like to keep things transparent and efficient! Here’s what the process usually looks like (though it might vary slightly depending on the role):
1️⃣ Intro Chat – A first call with our Talent Partner Giuliana to explore mutual fit around relevant skills, value alignment, and motivation.
2️⃣ Hiring Manager Interview – A deeper dive into your experience and aspirations with your future manager, Joao, Global Head of Visibility Products, who you’ll be reporting to in this role. 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.
4️⃣Business Case – Dedicated prep time to showcase your problem-solving and strategic thinking, followed by a collaborative session with the hiring manager and team to walk through your findings together.
5️⃣ Final Interview - with the team.
6️⃣References & Offer!
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.
- Wellness that works for you – from gym memberships to mental health support, we’ve got you covered.
- Time off that counts – whether it’s a vacation, your birthday, or just a day to recharge, we believe in balance.
- ESOP (Employee Stock Ownership Plan) after 6 months with us—because we believe in sharing our success!
📍 Local Perks – Depending on your location, you will be entitled to local benefits like meal vouchers (ticket restaurant), transport allowances, or extended parental leave.
🚀 Career Growth – We’re growing, and so can you! 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. While the extent of flexibility depends on your role and team, we value results over rigid schedules. Prefer an office setting? You're welcome at any of our hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome or Bologna.
Please note: 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.
What We Believe In
At Docplanner, our values guide everything we do:
📊 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.
Don’t just take our word for it—check out our Glassdoor to hear what our people say!
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We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We welcome applicants from all walks of life, regardless of gender, disability, or background, and are dedicated to fostering an inclusive workplace where everyone feels valued and empowered to contribute.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Clustering Consulting Data analysis Data Analytics Data management Engineering Feature engineering Finance Machine Learning Mathematics Physics Python Research SQL Statistics Superset Tableau
Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Parental leave Startup environment Wellness
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