- Responsible for the management of organization's metadata assets through the development and refinement of the enterprise data model and product specific logical data models.
- The incumbent can be assigned to multiple product teams but may also work independently.
- An individual in this position performs two primary types of data analysis: reverse-engineering of complex applications which involve the development of data business rules through the analysis and refinement of existing applications as well as top-down data analysis of data rules on initiatives that are broad in scope and large in size which involve the extension of the enterprise data model through the gathering of data business rules through project related work. The incumbent collaborates with product teams, peer data analysts, their business partners, and the cross-functional data stakeholders to ensure that the business rules meet product needs and at the same time represent the needs of client from an enterprise perspective.
- Although the incumbent may support a specific product team, he/she is accountable for ensuring that the data business rules integrate across subject areas and/or business domains.
- Acting as a mentor, the incumbent provides consultation to their business and product partners on data quality issues, data management, and data business rule development.
Skills:
Data analysis, Erwin data modeler, transactional data modeling
Top Skills Details:
Data analysis, Erwin data modeler, transactional data modeling.
Education
Bachelor degree in Computer Science, Information technology, or a related discipline, or equivalent work experience and technical training with a non-related Bachelor degree.
Experience Level:
Intermediate Level