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 fieldsProven experience in data validation and quality assuranceStrong background in statistics and model validationAdvanced SQL and experience with tools like BigQueryDesirable : Python, Git, Airflow, DBTExperience validating analytical modelsAdvanced EnglishCritical thinking, attention to detail, and strong communication skills________________________________________
Nice to Have
Experience with credit, risk, or behavioral modelingFamiliarity with metrics like KS, PSI, variable stability, and biasCloud experience (GCP, AWS, Azure)