Senior Data Analyst – Customer Success Operations

🔥 5 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Docplanner

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🏪 Marketplace

☁️ SaaS

💰 Venture Round - DocPlanner on 2021-09

Healthcare • Marketplace • SaaS

Docplanner is a global healthcare platform that connects patients with doctors and supplies practice-management and patient-engagement tools to clinics and medical professionals. The company offers an integrated end-to-end solution to help patients find and book doctors, reduce no-shows, improve clinic workflows, and help doctors manage their online presence and reputations. Docplanner operates in 13 countries with over 2,800 employees, reports ~25 million appointments booked in a month, ~100 million monthly website visits, and about 300,000 active doctors using its services.

📋 Description

• Build and maintain recurring reporting, Tableau/Superset dashboards, and data models • Build and maintain automations that scale across markets • Ensure outputs follow BI dashboard and data standards • Review, update, and improve statistical and predictive models • Build MVPs for new predictive or statistical use cases and hand validated models to Data Science • Apply regression, forecasting, and other statistical techniques • Use AI to query, code, and analyse efficiently and consistently • Use and contribute to shared libraries, reusable code, and GitHub-based architecture • Translate business-line needs into requirements for BI, Data Platform, and Product Analytics • Partner with the assigned business-line VP and leadership team to identify gaps and opportunities • Lead deep dives explaining why results occurred and what to do next • Propose, run, and analyse A/B tests and other experiments • Triage incoming requests, sequence workload, and align priorities with business and data stakeholders • Escalate cross-team or resourcing trade-offs to the analytics manager • Report to the Global CS Ops analytics manager

🎯 Requirements

• Degree in a quantitative field such as Engineering, Statistics, Mathematics, Physics, or similar • 3–5 years of relevant analytics experience as an individual contributor • Very good SQL skills; BigQuery preferred • Solid Python, especially for statistical and predictive modelling • Working knowledge of statistical modelling, including regression analysis, forecasting/prediction, and A/B testing • Hands-on experience with Looker and/or Tableau, building dashboards for non-technical audiences • Ability to digest complex data into business language and frame findings as a clear narrative • Experience working cross-functionally with non-technical stakeholders • Professional fluency in English; Spanish is a plus • Understanding of AI/LLM capabilities and limitations, with experience building things with them • Track record of scoping problems, conducting high-quality quantitative analysis, and developing decision-driving insights • Experience building or validating statistical/predictive models and handing them off to a Data Science team is an extra advantage • Experience in tech companies, start-ups, and/or consultancy is an extra advantage • Must already have the legal right to work in the country of residence or role location • Visa sponsorship is not available

🏖️ Benefits

• Healthcare insurance • Gym memberships • Mental health support • Vacation, birthday, and recharge time off • Meal vouchers, depending on location • Transport allowances, depending on location • Extended parental leave, depending on location • Career growth and development opportunities • Cross-functional project opportunities • Remote work and flexible hours • Access to office hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome, or Bologna • Global, diverse, and inclusive working environment