Senior Data Analyst (Customer Success Operations)

📋 Description Build and maintain recurring reporting, dashboards, and data models Build and maintain automations that scale across markets Review, update, and improve statistical and predictive models Build MVPs for new predictive or statistical use cases Lead deep dives and run experiments (A/B tests) Partner with business line VP and leadership team 🎯 Requirements Degree in quantitative field (Engineering, Statistics, Mathematics, Physics, or similar) 3-5 years of relevant analytics experience Very good SQL skills (BigQuery preferred) Solid Python, especially for statistical and predictive modelling Working knowledge of statistical modelling (regression, forecasting, A/B testing) Hands-on experience with Looker and/or Tableau 🎁 Benefits Healthcare insurance Wellness programs (gym, mental health) Time off, including vacation and birthday Local perks like meal vouchers, transport allowances, parental leave Career growth opportunities Global team and inclusive environment