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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.
विवरण
- 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
आवश्यकताएँ
- 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
लाभ
- 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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