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Data Modeler
Job summary
A dynamic insurance company in Paris is seeking a Data Modeler to design and maintain data models that support data-driven initiatives. The ideal candidate has 5-6 years of experience, strong analytical skills, and excellent communication abilities. You will work closely with stakeholders and ensure compliance with governance policies while promoting best practices in data modeling.
Qualifications
- 5-6 years of professional experience in data modeling.
- Proven experience with conceptual, logical, and physical data models.
- Understanding of data governance and metadata management.
Responsibilities
- Design and maintain data models aligned with business needs.
- Contribute to analytical data models for analytics products.
- Collaborate with architects to align data models with enterprise architecture.
Skills
Tools
We are seeking aData Modelerto join our dynamic Tech team. The ideal candidate isan excellent communicatoranda strong critical thinker. You will work closely with stakeholders to design, improve, and maintain data models that support SCOR’s data-driven initiatives. You will also contribute to data governance, ensure model consistency, and collaborate with architects and analysts to deliver high-quality data assets.
- You design and maintain conceptual, logical, and physical data models aligned with business needs.
- You contribute to the development of analytical data models that support analytics products and self-service analysis.
- You collaborate with Tech and Enterprise Architects to align data models with enterprise architecture.
- You participate in the Data Modeling chapter to promote best practices and standardization.
- You ensure data models comply with governance policies and support data quality frameworks.
- You support metadata documentation, data lineage, and business definitions in collaboration with data stewards
- You have 5-6 years of professional experience.
- Proven experience in data modeling, including conceptual, logical, and physical models.
- Proficiency in PySpark or SQL and knowledge of data architecture patterns.
- Knowledge of data plateforms such as Databricks or Palantir Foundry is a plus.
- Understanding of data governance, metadata management, and data privacy.
- Strong analytical thinking, autonomy, and a collaborative mindset.
- Excellent communication skills and ability to work in a multicultural, matrix environment.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.