Finance Data Modeler for Enterprise Analytics

SCOR; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

SCOR is seeking a Data Modeler for the Finance domain within its Tech, Data & AI organization. The role focuses on designing, managing, and governing Finance data models across systems to support reporting, closing, planning, and decision-making.

You will translate complex Finance requirements into scalable structures and ensure enterprise-aligned data foundations. The successful candidate will work with Data Engineers, Architects, and Finance stakeholders in a matrix, international environment

Qualifications

• Strong data modeling experience (conceptual, logical, physical).
• Solid understanding of Finance data and processes.
• Experience building analytical data models for reporting/analytics.
• Proficiency in SQL and/or PySpark; familiarity with modern data platforms.

Responsabilités

• Design, build, and maintain Finance data models within Data Foundation.
• Develop analytical data models enabling scalable reporting and self-service analytics.
• Contribute to enterprise Finance data model with consistent definitions.
• Collaborate with Data Engineers, Architects, and Finance stakeholders to reflect business semantics.
• Ensure data consistency, lineage, and proper granularity in datasets.
• Support metadata management, glossaries, and data lineage with data stewards.
• Apply data modeling standards to improve quality and maintainability.
• Translate Finance requirements into robust data structures for operational and analytical needs.

Connaissances

Data modeling

SQL

PySpark

Databricks

Palantir Foundry

Data governance

Metadata management

Communication

Collaboration

Formation

MSc or PhD in computer science / data science

Outils

Databricks

Palantir Foundry

Description du poste

SCOR is seeking a Data Modeler for the Finance domain within its Tech, Data & AI organization. The role focuses on designing, managing, and governing Finance data models across systems to support reporting, closing, planning, and decision-making.

You will translate complex Finance requirements into scalable structures and ensure enterprise-aligned data foundations. The successful candidate will work with Data Engineers, Architects, and Finance stakeholders in a matrix, international environment