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)