Data Modeller at Accenture Australia

A Data Modeler will be responsible for creating and maintaining conceptual, logical and physical data models and will be creating one or more data models depending on use cases including transactional, integration, data warehouse and analytical systems.

Data modeler will have to work with the business team, comprising of stakeholders and analysts, and information technologists to understand data requirements for the program. - Perform data profiling/analysis activities that will help establish, modify, and maintain a data model. - Create conceptual data model to identify key business entities and visualize their relationships. - Create detailed logical models identifying all the entities, attributes and their relationships along with the characteristics associated with each of those. - Convert logical models to physical models for the databases in use and provide DDLs to the implementation teams. - Create a taxonomy/data dictionary to communicate data requirements that are important to business stakeholders. - Test the DDLs and ensure the models are deployed to all environments and are consistent. - Lead and participate in design workshops to facilitate an understanding of business data needs and how they are mapped to the data model. - Facilitate resolution of model conflicts created by competing business requirements. - Partition data models into landing, integration, data mart, and reporting layers. Support review, sign-off and adoption of data models in collaboration with global businesses, architecture, and delivery teams. - Articulating modelling principles to other modelers and business users.

A Data Modeler will be responsible for creating and maintaining conceptual, logical and physical data models and will be creating one or more data models depending on use cases including transactional, integration, data warehouse and analytical systems. - Data modeler will have to work with the business team, comprising of stakeholders and analysts, and information technologists to understand data requirements for the program. - Perform data profiling/analysis activities that will help establish, modify, and maintain a data model. - Create conceptual data model to identify key business entities and visualize their relationships. - Create detailed logical models identifying all the entities, attributes and their relationships along with the characteristics associated with each of those. - Convert logical models to physical models for the databases in use and provide DDLs to the implementation teams. - Create a taxonomy/data dictionary to communicate data requirements that are important to business stakeholders. - Test the DDLs and ensure the models are deployed to all environments and are consistent. - Lead and participate in design workshops to facilitate an understanding of business data needs and how they are mapped to the data model. - Facilitate resolution of model conflicts created by competing business requirements. - Partition data models into landing, integration, data mart, and reporting layers. Support review, sign-off and adoption of data models in collaboration with global businesses, architecture, and delivery teams. - Articulating modelling principles to other modelers and business users.