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.
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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
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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
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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)