Data Modeller

Are you a Data Modeller 3yrs IT related experience with 2yrs+ in a Data Modelling role?
**You will**:
**Your responsibilities will be to**:

- 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
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 nonvalue 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.
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 Data Culture building initiatives (e.g. staff surveys etc.).
- Participate and support corporate responsibility initiatives for the achievement of business strategy
**This will be your qualifying criteria; hence you will be required to explain how you performed the following**:
Data analysis and inference Intermediate

Data Integrity Intermediate

Data Modelling Intermediate

Data Warehouse Layers Intermediate

Metadata Intermediate

Data Quality Intermediate

Data Warehousing Overview and Architecture Intermediate

Database Model Concepts Intermediate

Using SQL in Databases Basic

Data and business requirements Gathering Intermediate

Data Modelling Tools Intermediate

Master and Reference Data Management Basic

Data Governance Basic

Data Architecture Management Basic

Data Integration Basic

Industry Model Understanding Intermediate

Pattern Recognition, conceptual and abstract thinking Intermediate

Agile Concepts

Banking Product Knowledge

DevOps Tooling and methodologies

Presenting Intermediate

Problem solving and creativity Intermediate

Language skills Intermediate
**This will be the type of exposure you will have gained**:

- Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling experience also an advantage
- Experience 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