P&C Data Modeler & Analytics Architect

SCOR

Zürich

Hybrid

CHF 110.000 - 150.000

Vollzeit

Vor 13 Tagen
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Zusammenfassung

SCOR is seeking a Data Modeler for the P&C domain to join our Tech, Data & AI team. The role combines data modeling with knowledge of (re)insurance processes and requires translating requirements into scalable data models across systems.

You will design, build, and maintain models within Databricks and Palantir Foundry, ensuring consistency, traceability, and alignment with enterprise standards to support reporting, planning, and decision-making.

Qualifikationen

  • Experience in data modeling or data engineering.
  • Experience building analytical data models for reporting and analytics.
  • Proficiency in SQL and PySpark.
  • Experience in the insurance industry or financial services is a strong plus.
  • Experience with Databricks and Palantir Foundry is a plus.
  • Understanding of data governance, metadata management, and data quality principles.

Aufgaben

  • Design, build, and maintain conceptual, logical, and physical data models for P&C within the Data Foundation (Databricks & Palantir Foundry), supporting reinsurance processes such as underwriting, pricing, claims.
  • Develop and evolve analytical data models that enable scalable reporting, self-service analytics, and AI-driven use cases.
  • Contribute to the enterprise P&C data model, ensuring consistent business definitions and alignment across domains and systems.
  • Collaborate with Data Engineers, Architects, and P&C stakeholders to ensure models reflect business semantics and integrate into the overall data architecture.
  • Ensure data consistency, reconciliation capability, and proper handling of granularity, time dimensions, and historical tracking in financial datasets.
  • Support metadata management, business glossaries, and data lineage in collaboration with data stewards to provide transparent and governed P&C data.
  • Apply and promote data modeling standards and best practices to improve quality, reusability, and maintainability of P&C data assets

Kenntnisse

Data modeling
Data engineering
SQL
PySpark
Databricks
Palantir Foundry
Analytical thinking
Collaboration

Tools

Databricks
Palantir Foundry
SQL
PySpark

Jobbeschreibung

SCOR is seeking a Data Modeler for the P&C domain to join our Tech, Data & AI team. The role combines data modeling with knowledge of (re)insurance processes and requires translating requirements into scalable data models across systems.

You will design, build, and maintain models within Databricks and Palantir Foundry, ensuring consistency, traceability, and alignment with enterprise standards to support reporting, planning, and decision-making.

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