Data Modeller at Afro Miaki

Job Purpose: * To 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. Job 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 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 to ensure optimal implementation. * Compile Source to Target Mapping Specifications including the appropriate Transformation Rules. * 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. * Perform peer review on work performed by other team members. * Identify opportunities to improve or enhance processes. * Provide Overall Data Management Guidance and alignment to company Data Management framework and standards. * Seek opportunities to improve business processes, models and systems though agile thinking. * Support the achievement of the business strategy, objectives and values Contribute to the company Culture building initiatives (e.g. staff surveys etc.). * Participate and support corporate responsibility initiatives for the achievement of busi