Subject Data Modeller

2 weeks ago

Stellenbosch Western Cape, South Africa Boardroom Appointments Full time

**Duties and responsibilities**:

- To Understand and translate business requirements into data requirements to enable stakeholders to consume data in the most effective and efficient way.
- To design and maintain optimal data models/structures at both an enterprise level as well as conceptual, logical & physical levels which meet the business and architectural objectives of Company.

**Qualifications and experience**:

- 2 years + experience in the Data Modelling discipline
- 3 years in a data role such as Data Engineer, Data Analyst or BI Business Analyst.
- Experience using one of the following data modelling tools e.g Sparx Enterprise Architect, Erwin, SAP PowerDesigner, ER/Studio or IBM data architect
- Exposure to relational data models
- Experience working with dimensionally modelled data
- Demonstrable data profiling experience
- Experience in supporting as well as implementing data infrastructures
- Proven analytical and problem-solving experience in a complex data environment
- Experience with generic financial industry data models (products)
- Exposure to graph data models and NoSQL models
- Relevant industry experience i.e. financial services or retail.
- Grade 12 National Certificate / Vocational in Grade 12 National Certificate
- Bachelor's Degree in Information Technology - IT Engineering or Information Management
- Certification in Data Management

**Knowledge of**:

- Data Modelling tools e.g. Sparx Enterprise Architect,Erwin & SAP Power Designer, ER/Studio, IBM data architect
- Entity Relationship Modelling
- Physical Database Design
- Data warehousing
- Data Integration
- Data quality
- Metadata
- Knowledge of database concepts, objects and data modelling techniques and design principles.
- Expert knowledge of data modelling principles/methods including conceptual, logical & physical Data Models
- Knowledge of the entire process behind software development including design and deployment
- Relational modelling
- Dimensional modelling
- Data normalisation
- Data modelling patterns e.g. party role
- Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture
- SQL
- Master data management
- Canonical Data Modelling
- Banking and financial services environments
- BI tools and technologies as well as the optimization of underlying databases
- How to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
- Knowledge of the mathematical foundations of data normalisation

**Skills**:

- Analytical Skills
- Problem solving skills
- Attention to Detail
- Communications Skills
- Decision making skills

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