Data Modeller

Data

Manage Self: Technical

To design and maintain optimal data models/structures that enable data to be persisted and/or to enable the flow of data between providers and consumers in a structured consistent manner. Designing and maintaining structures that meet both the business and architectural objectives of the organization at an enterprise and/or system/application level in order to maximize and unlock the value of data.

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 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 data flow understanding by collating data flow 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 and provide input to the data modelling standards by participating in annual and ad hoc reviews.

Advise stakeholders on application of data modelling practices through consultation.

Identify opportunities to improve or enhance processes

Support the achievement of the business strategy objectives and values

Contribute to the Nedbank Data Culture building initiatives (e.g. staff surveys etc.).

Participate and support corporate responsibility initiatives for the achievement of business strategy

Bachelor of Commerce Bachelor of Science: Information Systems / Computer Science

3 - 6 years