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Data Modeller1
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General Details
Description
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.
* 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 company 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's 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
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