Key Requirements
- Create operational and analytical data models.
- Data modeling patterns and techniques.
- Google Cloud Platform/cloud and on-prem datasets.
- Healthcare Source-to-Target Mapping.
- Complex data transformation design.
- IDA/RTC data-model management.
- OMOP CDM expertise.
- Healthcare business knowledge.
- Agile delivery.
- Communication and stakeholder management.
- Strong problem-solving skills.
Core Responsibilities
- Profile and analyze data.
- Elicit business and technical requirements.
- Design conceptual, logical, and physical data models.
- Define and enforce data modeling standards and naming conventions.
- Optimize data models for performance, scalability, and compliance.
- Create and maintain source-to-target mappings.
- Design complex transformation solutions.
- Support enterprise data initiatives and shared data models.
Required Skills
- SQL expertise.
- OLTP and OLAP data modeling.
- Data warehousing and dimensional modeling.
- Relational and NoSQL databases.
- Data integration and governance.
- Google Cloud Platform and cloud-based datasets.
- Data modeling tools (IDA preferred).
- OMOP Common Data Model experience.
- Healthcare domain experience preferred.
- Agile and SDLC methodologies
IR35 Status:
Not specified
Industry:
Data & Analytics
Seniority Level:
Not Specified