Senior Data Modeller at Nedbank

Job Purpose

• To design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation.

Job Responsibilities

• 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 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 Nedbank's Data Management framework and standards
• Seek opportunities to improve business processes, models and systems though agile thinking.
• Support the achievement of the  business strategy, objectives and values
• Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
• Participate and support corporate responsibility initiatives for the achievement of business strategy
• Support the achievement of the  business strategy, objectives and values
• Stay abreast of developments in field of expertise 
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities
• Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
• Participate and support corporate responsibility initiatives for the achievement of business strategy
• Seek opportunities to improve business processes, models and systems though agile thinking.

 
Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

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

Essential Certifications

• The Data Management Association International (DAMA), TOGAF

Minimum Experience Level

• 3-5 years and/or relevant industry experience as well as experience in the Data Modelling discipline

Technical / Professional Knowledge

• Data Analysis and Interpretation
• Data Warehousing
• Data base Administration (DBA) Principles and Admin Concepts
• Data and Business analysis
• Data base administration
• Data base programming knowledge
• Data capture clerk
• Data centre standards and principles
• Data modelling tool
• Database Knowledge
• Database Management
• Database Restore and Recoveries
• Database programming
• Databases
• Industry trends
• Problem solving skills

Behavioural Competencies

• Work Standards
• Technical/Professional Knowledge and Skills
• Communication
• Initiating Action
• Decision Making
• Guiding Team Success