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Docplanner is a global healthcare technology company operating across healthcare, marketplace, and SaaS. Its platform helps patients find and book appointments with doctors while giving clinics and medical professionals tools for practice management, patient engagement, online visibility, and reputation management. Docplanner’s integrated services are designed to improve clinic workflows, reduce missed appointments, and make access to care easier. The company operates in 13 countries, with more than 2,800 employees, around 300,000 active doctors, approximately 25 million appointments booked each month, and about 100 million monthly website visits.
Senior Data Analyst, Customer Success Operations — Docplanner, Spain Remote
Join Docplanner as a Senior Data Analyst supporting customer success operations across its global healthcare platform. Develop dashboards, predictive models, automation, and experiments across 13 markets.
Description
- Own recurring reports, Tableau/Superset dashboards, and analytical data models
- Develop and maintain automations that can scale across multiple markets
- Apply established BI dashboard and data quality standards to analytical outputs
- Evaluate, refine, and enhance statistical and predictive models
- Prototype new statistical and predictive applications, then transfer validated models to Data Science
- Use regression, forecasting, and related statistical methods to solve business problems
- Use AI tools consistently and effectively for querying, coding, and analysis
- Contribute to shared libraries, reusable code, and GitHub-based architecture
- Convert business-line priorities into requirements for BI, Data Platform, and Product Analytics
- Work with the relevant business VP and leadership team to uncover gaps and opportunities
- Conduct deep-dive analyses that explain performance drivers and recommend next actions
- Design, execute, and interpret A/B tests and other experiments
- Assess incoming requests, organize the workload, and agree priorities with business and data partners
- Raise cross-team dependencies and resource trade-offs with the analytics manager
- Report to the Global Customer Success Operations Analytics Manager
Requirements
- Degree in a quantitative discipline such as engineering, statistics, mathematics, physics, or a comparable field
- Three to five years of relevant analytics experience in an individual contributor role
- Advanced SQL skills, preferably with BigQuery experience
- Strong Python skills, particularly for statistical and predictive modelling
- Practical knowledge of regression, forecasting or prediction, A/B testing, and broader statistical modelling
- Hands-on experience with Looker and/or Tableau, including dashboards for non-technical audiences
- Ability to turn complex analysis into accessible business language and a coherent narrative
- Experience collaborating across functions with non-technical stakeholders
- Professional fluency in English; Spanish is advantageous
- Understanding of AI and LLM capabilities and limitations, plus experience building with these technologies
- Demonstrated ability to scope analytical problems, perform rigorous quantitative analysis, and produce decision-enabling insights
- Experience developing or validating statistical or predictive models and transferring them to a Data Science team is an additional advantage
- Experience in technology companies, start-ups, and/or consulting is an additional advantage
- Already hold the legal right to work in the country of residence or role location
- Visa sponsorship is not available
Benefits
- Healthcare insurance
- Gym membership support
- Mental health support
- Vacation, birthday, and recharge leave
- Meal vouchers, depending on location
- Transport allowances, depending on location
- Extended parental leave, depending on location
- Opportunities for career development and progression
- Opportunities to work on cross-functional projects
- Remote work with flexible hours
- Access to office hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome, or Bologna
- A global, diverse, and inclusive workplace
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