Data Cataloguing Officer

• The methodical investigation, analysis, review and documentation of all or part of a business in terms of business goals, objectives, functions and processes, the information used and the data on which the information is based. The definition of requirements for improving processes and systems, reducing their costs, enhancing their sustainability, and the quantification of potential business benefits. The collaborative creation and iteration of viable specifications and acceptance criteria in preparation for the deployment of information and communication systems.

The adoption and adaptation of business analysis approaches based on the context of the work and selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/agile) approaches.

• The production of abstract or distilled representations of business situations to aid the communication and understanding of existing, conceptual or proposed scenarios. Predominantly focused around the representation of processes, roles, data, organisation and time. Models may be used to represent a subject at varying levels of detail and decomposition.

• The development of models to represent and communicate data requirements and to enable organisations to understand their data assets, governance obligations and the relationships between real-world entities.

The investigation, analysis and scoping of data requirements to support the development of software systems, data integration and data retrieval activities. The iteration, review and maintenance of data requirements and data models.

• The process of interpreting concepts, ideas, and facts by using graphical representations.

Condensing and encapsulating the characteristics of data, making it easier to surface opportunities, identify risks, analyse trends, to drive effective decision-making. Presenting findings and data insights in creative ways to facilitate the understanding of data across a range of technical and non-technical audiences.

• To explore and recommend methodologies to support the data, automation and analytical needs of the organisation and to enhance analytical capability.