Develop and maintain data dictionaries: The data modeler will ensure the data dictionary is accurate and up-to-date, reflecting the current state of the data model.
Develop and maintain data quality rules: defining rules to ensure data accuracy, consistency, and completeness
Database Design and Implementation:
Design and implement database objects: creating tables, views, stored procedures, and triggers within the dbms based on the data model specifications.
Develop and maintain database standards and procedures: contribute to establishing data management standards and procedures within the organization to ensure consistent data practices.
Communication and Collaboration:
Work with business stakeholders to understand data requirements: maintain clear communication with business users to understand their information needs and translate them into the technical data model.
Collaborate with IT teams to implement the data model: work with database administrators and developers to ensure the model is successfully implemented within the chosen database platform.