Summary

The data modeler associate analyzes regulatory and policy documents, applying Python, SQL, NLP, and data modeling techniques to turn content into structured, machine-readable data. The role supports knowledge graphs, governance decisions, and data-product development; no working arrangement is specified.

Responsibilities

• Decompose regulatory documents into structured data
• Apply text analytics to map document relationships
• Profile governed data for gaps and anomalies
• Prototype and validate conceptual and physical models
• Build canonical taxonomies and reference data mappings
• Evaluate extraction quality through labeling and error analysis
• Analyze governance questions using Python and SQL