- Design and build the data pipelines and transformation models that move raw data from source systems into a centralized data warehouse.
- Drive the creation of a canonical employee record with a stable, consistent identifier that survives job changes, rehires, and system migrations.
- Own the semantic layer for people metrics: define, document, and maintain agreed-upon definitions for core measures.
- Bridge the gap between raw sources and business value, ensuring data models answer specific strategic questions.
- Build slowly-changing dimension patterns and dated workforce snapshots that enable accurate point-in-time analysis.
- Establish data governance practices that belong in a people analytics function.
- Partner with HR business partners, Finance, and People Operations leaders to translate business questions into well-structured data models and durable analytical solutions.
- Use AI tools to accelerate your work, drafting pipeline code, generating documentation, stress-testing metric logic, and turning technical findings into clear communication.
PythonSQLGit+6 more