Senior Data Analyst – Customer Success Operations

• 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

• 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

• 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