Data Modeller
1 week ago
**Requisition Details & Talent Acquisition Contact**
- 137146 - Busi Radebe- Job Post End Date: 05 December 2024- Job Family- Marketing, Communication, and Data Analytics- Career Stream- Data Analysis- Leadership Pipeline- Manage Self: Technical**Job Purpose**Responsibilities**:
**Data Modelling and Metadata Design**:
- Design data models that meet the business requirements, aligning with the agreed architecture framework.
- Manage metadata by ensuring all data-related information is documented, catalogued, and stored for easy access.
- Utilize Nedbank-approved tooling to create and manage data models and metadata.
- Adopt and promote the Enterprise Data Model, based on IFW standards, to leverage best practices and enhance efficiency.
**Requirements Translation and Data Profiling**:
- Translate business requirements into data requirements, ensuring they align with metadata management needs.
- Profile source data to understand quality issues, relationships, patterns, and data rules.
- Identify definitive data sources, analyse source data, and document metadata accordingly.
**Data Flow and Implementation**:
- Develop data flow diagrams outlining data movement across systems and interfaces.
- Enable the physical implementation of data models by generating the first-cut physical data model from the logical model.
- Create Source to Target Mapping Specifications, incorporating metadata transformation rules.
**Standardization and Best Practices**:
- Ensure all data modelling and metadata deliverables are aligned with development methodologies, modelling principles, and standards.
- Contribute to the continuous improvement of data modelling and metadata management standards by participating in annual and ad hoc reviews.
**Collaboration and Stakeholder Engagement**:
- Identify opportunities to reuse and enhance existing models, minimizing non-value-adding activities.
- Collaborate with data stewards and other stakeholders to maintain metadata quality and consistency.
**Professional Development**:
- Maintain up-to-date knowledge in data modelling and metadata management by attending seminars, courses, and conferences.
- Support the achievement of business strategy, objectives, and values by contributing to Nedbank’s Data Culture initiatives.
**People Specification**
- Essential Qualifications - NQF Level- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
- Preferred Qualification- Bachelor of Commerce, Bachelor of Science: Information Systems / Computer Science- Essential Certifications- TOGAF
- Preferred Certifications- Relevant data modelling and metadata management certifications- Minimum Experience Level- Minimum of 5-8 years of experience in data modelling, metadata management, or data architecture roles.- Technical Knowledge- Data Modelling (Logical and Physical)
- Data and Business Requirements Gathering
- Data Architecture and Metadata Management
- Data Warehousing, Integration, and Master Data Management
- Agile and SDLC methodologies
- Data Quality, Data Governance, and Reference Data Management
- Use of Data Modelling Tools and Industry Reference Models
- Behavioural Competencies- Work Standards
- Communication
- Decision Making
- Initiating Action
- Hyper-Collaboration Technical/Professional Knowledge and Skills- **_Please contact the Nedbank Recruiting Team at +27 860 555 566_
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