Senior Data Analyst (Customer Success Operations)

Docplanner; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Healthcare insurance

Wellness programs

Flexible time off

Job summary

Docplanner is seeking a data analytics leader within Global Customer Success Operations & Analytics to own dashboards, data models, and analytics for a major business line across 13 markets. You will partner with a VP and cross-functional teams to drive insights, experiments, and AI-driven workflows.

You’ll report to the Global CS Ops analytics manager and shape how you spend your time, prioritising requests, and delivering decisions with data.

Qualifications

• Degree in a quantitative field with 3–5 years of analytics experience as an individual contributor.
• Strong SQL skills; Python for statistical modelling.
• Experience with statistical modelling and A/B testing.
• Experience building dashboards for non-technical audiences.

Responsibilities

• Build and maintain recurring reporting, dashboards (Tableau, Superset) and data models for the business line.
• Create automations that scale across markets.
• Develop statistical and predictive models; MVPs handed to Data Science when validated.
• Collaborate with BI, Data Platform and Product Analytics teams to translate business requirements.
• Lead deep dives with the VP and teammates; propose and analyse experiments to drive decisions.
• Prioritise workload and align with stakeholders; escalate trade-offs as needed.

Skills

SQL

Python

Statistics

Tableau

Superset

Dashboards

Communication

Cross-functional

English

Education

Quantitative degree

Tools

Superset

Tableau

Job description

Company Description

At the company 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.

Shape the future, sustain growth – Make a difference now and build for long‑term success.

Job Description

the company'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 the company'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 Global 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.

How will you make an impact?

Reporting, dashboards & data models

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

Analytical models: statistics & prediction (a growing focus)

Today, most of your time goes to reporting and execution. Over the next year, we expect a meaningful shift toward analytical modelling (statistics and prediction)

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 your day‑to‑day analysis, not just descriptive reporting

AI-first execution

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)

Bridging business and data teams

Act as the translation layer between your business line and the company'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

Driving analytics for your business line

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

Prioritisation & stakeholder alignment

Own the day-to-day sequencing of your own workload: triage incoming requests, judge urgency and impact, and decide what to tackle first without waiting to be told

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

Qualifications

What will help you thrive?

• 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 (Spanish is a plus)

What makes you a strong fit?

• Proactive by default: you spot what needs doing and raise the level of execution around you, rather than waiting for instructions
• 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 escalating 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

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. No prior experience in healthcare or SaaS required, but curiosity about both is critical!

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):

1. Intro Chat – A first call with our Talent Partner Ashleigh Hill to explore mutual fit around relevant skills, value alignment, and motivation.
2. Hiring Manager Interview – A deeper conversation about your background, aspirations, and experience with Andreu Passola; your potential manager 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.
3. Technical Interview – A short SQL assessment and discussion with our Head of BI.
4. Business Case – A take‑home exercise incl. a few days’ preparation time, designed to understand how you approach real‑life problems. You’ll then walk us through your approach in a collaborative discussion with the hiring manager and stakeholder panel to discuss your thoughts and findings.
5. Additional/ Final Interview (Optional) – A final conversation with another senior leader/stakeholder/peer from our Global Team.
6. References & 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.

Local Perks – Depending on your location, you will be entitled to local benefits like meal vouchers, 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 the company, 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!

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.