Create and document logical data integration (ETL) strategies for data flows between disparate source/target systems and the Enterprise Data Warehouse.Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.Provide senior level guidance in the interaction with business users to plan, develop, improve, and maintain complex components of the logical/physical Enterprise Data Warehouse and related models. Establish, maintain, adhere to, and enforce Enterprise Data Modeling and Data Integration standards. Communicate with and/or interview users to plan, develop, improve, and maintain moderately complex components of the logical/physical corporate model.Work closely with BSA, business, and IT team members to clarify and refine functional data requirement specifications.Develop and present training materials such as data flow diagrams, conceptual diagrams, UML diagrams, ER flow diagrams as needed in order to clarify data model meaning and usage effectively to a wide range of technical and non-technical consumers.Work closely with Database Administrators and Data Integration (ETL) developers resulting in effective data driven solutions. Participate in the implementation of strategic Enterprise Data Strategies.Must drive innovations by keeping current on emerging technology and Data Trends which may fit with GMF needs. Must be able to research, present, and accurately articulate benefits and goals of these technologies, such as Big Data, Hadoop, NoSQL, Data Virtualization, Data Services. Participate in the proliferation of our Corporate Meta-Data Repository. Maintain and administer the Corporate Data Model Repository.Create Reporting as required on Corporate Data Model Repository. Provide functional advice or training and serve as a mentor to less experienced Data Warehouse Analysts.