Data Analyst - Fincrime Reporting

📋 Description

• Design and maintain data models and datasets for monitoring and investigations.
• Own end-to-end FinCrime analytics delivery: requirements, ETL, deployment.
• Develop detection logic and monitoring rules for fraud and AML signals.
• Perform data quality checks to ensure accuracy and auditability.
• Build dashboards/tools (Looker/Looker Studio) for risk monitoring.
• Support regulatory/internal audits with data traceability.

🎯 Requirements

• 2-5 years in Data/Business Analytics, FinCrime or finance
• Advanced SQL skills for complex datasets
• Experience with dbt, Google Cloud BigQuery, Looker/Looker Studio, Git
• Experience building data pipelines and analytical datasets
• Knowledge of financial crime frameworks
• Python is desirable; English fluency required (Spanish a plus)

🎁 Benefits

• Competitive salary conditions
• Private health insurance, gympass and Meditopia
• Career development in Data & Analytics
• Hybrid work model: 4 days in office, 1 day remote
• 23 days annual leave + birthday off
• Off-sites and virtual get-togethers