Strong organization and excellent verbal and written communication skills are required.Strong communication skills and experience in interacting with business and technical experts.Representative Data Modeler resume experience can include: The work experience section should be the detailed summary of your latest 3 or 4 positions. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data modeler position you're applying to. This section, however, is not just a list of your previous data modeler responsibilities. It’s the one thing the recruiter really cares about and pays the most attention to. The section work experience is an essential part of your data modeler resume. Create high-level process models (activity hierarchy diagrams, data flow diagrams, workflow diagrams, system interface diagrams) to represent business processes for the area under analysis.Perform analysis of system data to identify patterns, exceptions and erroneous data.Develop data mappings for reports, to correlate data elements on reports to tables/fields in the underlying physical data model.If the project involves the creation an interface between two systems, the data modeler would create a mapping matrix describing the correlation between the data elements in the two system data models.Document the data model enhancements in a standard document.Document definitions for all new data model constructs.
Select the appropriate data types and sizes for the new fields added to the system data model.Apply the same enhancements in the physical data model, using the Data Modeling Standards and the physical Data Naming Conventions appropriate for the specific back-end database Enhance (or create - if new system) system logical data model to meet requirements, applying the Data Modeling Standards and the logical Data Naming Conventions.Develop an in-depth understanding of the business processes and data in the corporation and apply the knowledge towards developing and maintaining the Corporate Data Model and a Metadata Portal.