Enterprise Data Quality Analyst
Johannesburg, ZA
Nedbank
Get a financial partner who will help, guide and support you on your personal journey.Requisition Details & Talent Acquisition Specialist
REQ 140793 - Keabetswe Modise
Closing Date: 09 July 2025
Job Family
Information Technology
Career Stream
Data
Leadership Pipeline
Manager of Self Professional
Job Purpose
To ensure quality and fitness for purpose of the organization's data assets. Responsible for supporting of all operational efforts to remediate data across business units. Ensuring consistency of use of the data quality artefacts across the relevant business units.
Job Responsibilities
- Support and monitor the ongoing assessment of data and business processes to detect data defects and business process inefficiencies.
- Assessment of data quality controls, business rules and thresholds and their application to a defined set of data or metrics. Includes activities such as data profiling, matching, parsing and root cause analysis to identify the cause of data quality issues.
- Ensure that all stakeholders are informed about data quality issues through reporting based on the results of data quality monitoring and assessment to drive remediation initiatives.
- Identify, prioritise, plan and track data remediation initiatives based on the results of data quality monitoring and assessment across the enterprise and see them to conclusion.
- Provide input and minimum requirements into the development of data quality standards by cluster data management organisations (data and metrics owners and data stewards) to ensure alignment across the enterprise.
- Ensure that minimum data quality requirements to be met by all clusters are set to improve data quality score.
- Use of Ab Initio to develop technical data quality rules and create a dashboard to report across all data quality dimensions
- Attend relevant sessions to drive adoption of data quality best practices
- Stay abreast of industry trends and developments
- Understanding of metadata management and how it is used to support data quality.
Job Responsibilities Continue
- Stakeholder engagement
- Reporting writing
- Data manipulation
- Data defect remediation
- Data contracts/standards writing
- Policy interpretation and implementation
- Project management
- Interpret Data/System Architecture diagrams
Essential Qualifications - NQF Level
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- BSc Computer Science, BSc Engineering
Essential Certifications
- DAMA certified data management professional (CDMP) or similar data management certification
Preferred Certifications
- Process engineering, process optimisation, Business analysis
Minimum Experience Level
- 10 years’ experience, most of which should be in financial sector
- Data manipulation experience
- Solid understanding of Data Quality dimensions
- Knowledge of programming languages
- Understanding of Data Governance Principles
Technical / Professional Knowledge
- Relevant Systems and software knowledge
- Ab Initio - ExpressIT (capturing data quality rules, testing, profiling, implement rules)
- Data Analysis basic concepts
- Write and read SQL code
- Data Governance
- Data quality
- Metadata management
Behavioural Competencies
- Adaptability
- Communication
- Innovation
- Decision Making
- Stress Tolerance
- Technical/Professional Knowledge and Skills
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Please contact the Nedbank Recruiting Team at +27 860 555 566
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data analysis Data governance Data management Data quality Engineering SQL Testing
Perks/benefits: Career development
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