[All remote jobs](https://jobicy.com/jobs.md)[![Docplanner logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/84f2fa86-221.png)](https://jobicy.com/company/docplanner.md)[Docplanner](https://jobicy.com/company/docplanner.md) # Senior Data Analyst (Customer Success Operations) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/docplanner.md)ShareRemote from[Spain](https://jobicy.com/job-region/spain.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceDirectorPublished26 Oct 2026Apply before25 Nov 2026Listing views74Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Docplanner is seeking a senior individual-contributor data analyst to support a global Customer Success business line across 13 markets. The role combines recurring reporting, dashboard development, data modelling, deep-dive analysis, and experimentation for senior business stakeholders. The analyst will use SQL, Python, Tableau or Superset, and statistical techniques such as regression, forecasting, and A/B testing. They will independently prioritise incoming work while translating business needs for BI, Data Platform, Product Analytics, and Data Science partners. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior analytics role requiring strong hands-on technical delivery alongside statistical modelling and executive-facing business partnership. The analyst must independently manage competing requests and convert ambiguous business questions into actionable analyses. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$105,000US market range (per year)$85k–$125k0$137.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. Estimated annual USD market range for a senior data analyst focused on customer-success operations, dashboards, experimentation, and predictive analytics; figures are AI estimates and not verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Amazon Redshift](https://jobicy.com/jobs?search_keywords=Amazon%20Redshift.md)[Tableau](https://jobicy.com/jobs?search_keywords=Tableau.md)[Apache Superset](https://jobicy.com/jobs?search_keywords=Apache%20Superset.md)[Statistical modelling](https://jobicy.com/jobs?search_keywords=Statistical%20modelling.md)[Regression analysis](https://jobicy.com/jobs?search_keywords=Regression%20analysis.md)[Forecasting](https://jobicy.com/jobs?search_keywords=Forecasting.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Data modelling](https://jobicy.com/jobs?search_keywords=Data%20modelling.md)[Dashboard development](https://jobicy.com/jobs?search_keywords=Dashboard%20development.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[Data storytelling](https://jobicy.com/jobs?search_keywords=Data%20storytelling.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[GitHub](https://jobicy.com/jobs?search_keywords=GitHub.md) Sample interview questionsHow would you approach a request from a VP to understand a decline in customer retention across several markets?I would first align on the retention definition, comparison period, customer segments, and decision the analysis must support. I would validate the underlying data, decompose the change by market and cohort, then investigate leading drivers such as adoption, product usage, support interactions, pricing, and lifecycle changes. I would present the quantified drivers, confidence levels, and recommended experiments or interventions. Describe how you would build a dashboard for non-technical Customer Success leaders. I would start with the leadership team’s recurring decisions and define a small set of trusted metrics with clear owners and metric definitions. The dashboard would prioritise trends, segment comparisons, targets, and actionable exceptions rather than raw data volume. I would document refresh cadence and data quality assumptions, test the dashboard with users, and iterate based on whether it improves decision-making. How do you decide whether an observed A/B test result is reliable enough to act on? I would verify randomisation, sample size, experiment duration, data integrity, and pre-defined primary metrics. I would assess statistical significance, effect size, confidence intervals, and practical business impact, while checking guardrail metrics and relevant segments. If uncertainty remains high, I would recommend extending, refining, or replicating the experiment rather than overstating the result. Give an example of when you would use regression or forecasting instead of descriptive reporting. I would use regression when the business needs to estimate the relationship between an outcome, such as churn risk, and multiple contributing factors while controlling for confounders. I would use forecasting when planning capacity, revenue, or customer demand over future periods. In both cases, I would validate performance on holdout data and clearly communicate assumptions and limitations to stakeholders. How would you manage conflicting urgent requests from business and data stakeholders? I would clarify the expected business impact, deadline, dependencies, and effort for each request, then make the trade-offs visible to the requesters. I would prioritise work that is time-sensitive and materially affects decisions, while proposing a realistic sequence for lower-impact tasks. For cross-team capacity or priority conflicts, I would escalate with a concise recommendation and evidence rather than waiting for direction. Opportunity details ## About this role. 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](http://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 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 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 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 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 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 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): 1️⃣ Intro Chat – A first call with our Talent Partner [Ashleigh Hill](https://www.linkedin.com/in/ashleigh-watson-hill-ab35332b6/?isSelfProfile=true) to explore mutual fit around relevant skills, value alignment, and motivation. 2️⃣ Hiring Manager Interview – A deeper conversation about your background, aspirations, and experience with [Andreu Passola](https://www.linkedin.com/in/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. 3️⃣ Technical Interview – A short SQL assessment and discussion with our [Head of BI](https://www.linkedin.com/in/wiktor-kulikowski-00839a93/?isSelfProfile=false). 4️⃣ 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. 5️⃣ Additional/ Final Interview (Optional) – A final conversation with another senior leader/stakeholder/peer from our Global Team. 6️⃣ 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 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](https://www.glassdoor.com.br/Avalia%C3%A7%C3%B5es/DocPlanner-Avalia%C3%A7%C3%B5es-E1071394.htm?countryRedirect=true) 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. Show more [Apply now >](https://jobicy.com/jobs/157257-senior-data-analyst-customer-success-operations.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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