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Job Summary Our client is hiring a Data Modeller toxc3x82 design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation. To create structures that enable data to be persisted in a structured way to enable the value of the data to be unlocked. To create appropriate data and class structures that enable the flow of data between providers and consumers. Qualification required: Bachelor of Commerce , Bachelor of Science: Information Systems / Computer Science Advanced Diplomas/National 1st Degrees/equivalent NQF level 6 qualification TOGAF, DAMA Experience required: 3yrs IT related experience with 2yrs+ in a Data Modelling role Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling experience also an advantage Experience using Infosphere Data Architect or any other Data Modelling Tool Experience with industry models such as IFW BFMDW Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture Relevant regulatory knowledge, and understanding of banking and financial services Experience in NOSql and other forms of database modelling advantageous Responsibilities: Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards Apply the Nedbank approved tooling to create the data modelling deliverables. Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage best practice and fast track data modelling efforts. Translate business requirements into data requirements. Analyse and profile the source data to understand data quality issues , relationships, patterns and rules in the data. Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models and UML class models to ensure optimal implementation. Compile Source to Target Mapping Specifications including the appropriate Transformation Rulesxc3xa2xe2x82xacxc2xa2 Identifying definitive or authoritative source of data ; analysing source data; and identifying gaps to target structures Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model. Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces. Reduce non value adding work by identifying opportunity for re-use of the Enterprise Data Model Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses; seminars and conferences. Contribute to the creation of a comprehensive governed framework by working with the data modelling CoE and contributing towards defining the data modelling standards. Advise stakeholders on application of data modelling practices through consultation.xc3xa2xe2x82xacxc2xa2 Perform peer review on work performed by other team members Identify opportunities to improve or enhance processes Behavioural Competencies: Work Standards Communication Decision Making Initiating Action Collaboration Technical/Professional Knowledge

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