COMPANY :
The Savings – Provident Branch of the Caisse de Dépôt et de Gestion embodies the role of a trusted third party for the Caisse de Dépôt et de Gestion, in accordance with its organic and regulatory texts, as well as those of the bodies managed by the National Retirement and Insurance Fund and the Collective Retirement Allowance Scheme.
The Savings – Provident Branch of the Caisse de Dépôt et de Gestion carries out the missions of the Caisse de Dépôt et de Gestion concerning its competence in:
- Mobilizing savings;
- Provident and Retirement through the management of the National Retirement and Insurance Fund and the Collective Retirement Allowance Scheme;
- Insurance.
Job :
Data Governance:
- Develop and maintain data governance policies, standards, and procedures;
- Ensure compliance of data management practices with current regulations and adopted standards;
- Contribute to the updating and management of the data catalog (data dictionary, glossary, etc.);
- Select and implement data management tools (MDM, data quality tools).
Data Quality:
- Implement and supervise data quality management processes, including monitoring, control, measurement, and continuous improvement;
- Collaborate with Data Stewards and IT referents to identify and resolve data quality issues;
- Establish performance indicators to measure data quality and process effectiveness.
Data Analysis:
- Collect, process, and analyze large volumes of data from various sources;
- Conduct in-depth analyses of the data needs of different structures;
- Use advanced statistical and analytical techniques to extract key trends, correlations, and insights;
- Design and share reports and dashboards related to the structure's activity.
Project Management:
- Lead data governance projects;
- Monitor the progress of data projects with the IT department.
Required profile :
- Master's degree (Bac+5) in computer science or statistics from an engineering school or equivalent;
- Proven professional experience of at least 5 years in data management projects;
- Proficiency in SQL for data extraction and manipulation;
- Proficiency in programming languages (Python, R);
- Good knowledge of data governance and data management;
- Desired experience with data quality and data governance tools (e.g., Collibra, Informatica);
- Good understanding of predictive modeling and machine learning techniques;
- Strong ability to analyze and interpret data;
- Knowledge of BI tools (e.g., PowerBI, Qlikview);
- Knowledge of the retirement and provident sector is an asset.
- Interpersonal skills and ability to work in a team;
- Sense of responsibility, rigor, and responsiveness.
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