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)