Johannesburg, Gauteng, South Africa
October 8, 2021
Apply NowJob description
- About us, purpose, experience and qualifications
about us
- make a promise
- be deeply invested
- value our differences
- build trust, not territory
- have courage
- always do the right thing
- stay curious and you have one simple goal: to improve the lives of customers through simple, effective solutions that meet their needs, contact us today and join a winning team. All appointments will be made in line with the Bank’s Employment Equity plan The Bank actively supports the recruitment and advancement of individuals with disabilities. We recommend that candidates be encouraged to declare their disability and consult the Bank should they require reasonable accommodation.
purpose
To provide expertise and support through translating business needs into long-term architecture solutions by analysing data, conducting root cause analysis, and recommending improvements to data quality, access and management. Using a combination of analytical expertise and business acumen the incumbent will extract reporting requirements from business, and deliver on thisexperience and qualifications
- Minimum Qualification : Relevant BSc or BCom degree.
- Preferred Qualification : Honours degree with focus in Information Management Dama Certification.
- Minimum Experience: 3 to 5 years’ relevant experience.
additional requirements
- Provide expertise and support through translating business needs into long-term architecture solutions by analysing data, conducting root cause analysis, and recommending improvements to data quality, access and management.
- Using a combination of analytical expertise and business acumen to extract reporting requirements from business, and deliver on this.
- Has a deep understanding of the various data sources, systems and data fields
- Knowledge and understanding of modelling, metadata and data quality tools or Modelling tools – CA Erwin, Enterprise Architect, etc
- Metadata management tools e.g. Informatica (Ab Initio would be advantageous) Data quality tools – e.g. OEDQ
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