We are looking for a Data Analyst with solid experience in statistics and data quality. This professional will be responsible for validating, certifying, and critically analyzing data—from raw sources to analytical models—to support strategic decision-making.________________________________________Key Responsibilities• Ensure data integrity through validation scripts and quality checks• Certify data across all stages: raw, variables, and models• Deliver insights, KPIs, and studies to support business strategies• Collaborate with analytics and business teams to define validation needs• Communicate findings clearly to both technical and non-technical audiences• Identify risks, inconsistencies, and opportunities for data improvement________________________________________Requirements• Degree in Statistics, Mathematics, Data Science, Engineering, or related fields• Proven experience in data validation and quality assurance• Strong background in statistics and model validation• Advanced SQL and experience with tools like BigQuery• Desirable: Python, Git, Airflow, DBT• Experience validating analytical models• Advanced English• Critical thinking, attention to detail, and strong communication skills________________________________________Nice to Have• Experience with credit, risk, or behavioral modeling• Familiarity with metrics like KS, PSI, variable stability, and bias• Cloud experience (GCP, AWS, Azure)