Job Description

Minimum requirements:

Minimum Experience Level * 3-5 years and/or relevant industry experience as well as experience in the Data Modelling discipline

• Advanced Diplomas/National 1st Degrees
• Bachelor of Commerce , Bachelor of Science: Information Systems / Computer Science (preferred)
• TOGAF
• DAMA certified data management professional (CDMP) or similar data management certification
• 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
• Exprience 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

• Data analysis
• Data Analysis and Interpretation
• Data Warehousing
• Data and Business analysis
• Data base Administration (DBA) Principles and Admin Concepts
• Data base administration
• Data modelling tool
• Database Knowledge
• SQL
• Problem solving skills

• 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 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 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 the company's Data Management framework and standards
• Seek opportunities to improve business processes, models and systems through agile thinking.
• Support the achievement of the business strategy, objectives and values
• Contribute to the company's Data Culture building initiatives (e.g. staff surveys etc.)
• Participate and support corporate responsibility initiatives for the achievement of business strategy

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