67 Data Quality jobs in South Africa

DLK Group | Contract

Data Quality Analyst (Senior-Level)

Cape Town, South Africa | Posted on 26/10/2025

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Job Information

• Date Opened 26/10/2025
• Job Type Contract
• Industry IT Services
• Work Experience 5-7 years
• Salary Market Related
• City Cape Town
• Province Western Cape
• Country South Africa
• Postal Code 7400

Job Description
The role of the Senior Data Quality Analyst encompasses many activities, including (but not limited to):

• Leading data quality initiatives and implementing frameworks to ensure data accuracy and reliability.
• Developing and maintaining data quality metrics and dashboards.
• Collaborating with data owners to define and enforce data governance policies.
• Conducting root cause analysis for data quality issues and recommending solutions.
• Mentoring and providing technical guidance and support in data quality tools and methodologies.

Requirements
Minimum Qualification:

• A Degree in Information Communication Technology (ICT) field incorporating (but not limited to) Computer Science or Software Engineering or Information Systems.

Minimum Experience

• Minimum of 5 years' experience in data quality roles; experience with data quality tools and business analysis documentation.

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Company Description

SGS is the world's leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of 99,500 dedicated professionals. With over 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance, and sustainability.

Job Description

Primary Responsibilities

• Ensure integrity of system data in Finance Process cycle
• Provide support to System users

Specific Responsibilities

• Client master file clean-up
• Correct tagging of clients
• Correct full client details in system
• Correct VAT status of clients
• Correct site setup.
• Data quality for all new clients/maintenance of existing clients in line with procedure
• Roll out of Collect module in AR.
• Full implementation of client credit worthiness status, with changes to system accordingly.
• Improved turnaround time (TAT) for client creation.
• Cross system validation (ORACLE/Infor SUN/SLIM/G6/Doc-IT/PaperTrail)
• Adhere to all quality and safety requirements of the SGS management system.
• Perform any other reasonable tasks as assigned by direct line manager.

Qualifications

Education

• Matric (Grade 12)

Experience

• Accounting background (Accounts Receivable an advantage)
• Finance system knowledge

Additional Information

Required Skills

• Accounting packages (Infor SUN, ORACLE would be an advantage)
• Ability to administer new applications
• Proficient on MS Office applications, especially Excel and Word
• Email proficiency
• Support desk previous experience (an advantage)
• Attention to detail
• Organized
• Initiative and proactivity
• Innovation
• Able to professionally collaborate across all boundaries.
• Able to work without supervision.
• Self confidence
• Excellent Communication and people skills, very important
• Computer skills
• Ability to work under pressure
• Willing to learn and bring new ideas forward for improvement.
• Ability to take decisions based on sound reasoning
• Ability to work under pressure
• Accuracy – very important
• Adaptability
• Analytical thinking
• Commitment
• Continuous improvement
• Honesty and integrity
• Independent
• Initiative
• Logical thinking
• Self disciplined
• Team player

The role of the Senior Data Quality Analyst encompasses many activities, including (but not limited to):

• Leading data quality initiatives and implementing frameworks to ensure data accuracy and reliability.
• Developing and maintaining data quality metrics and dashboards.
• Collaborating with data owners to define and enforce data governance policies.
• Conducting root cause analysis for data quality issues and recommending solutions.
• Mentoring and providing technical guidance and support in data quality tools and methodologies.

Minimum Qualification:

• A Degree in Information Communication Technology (ICT) field incorporating (but not limited to) Computer Science or Software Engineering or Information Systems.

Minimum Experience:

• Minimum of 5 years' experience in data quality roles; experience with data quality tools and business analysis documentation.

Data profiling & quality assessments to identify inconsistencies and gaps

Collaborate with teams to resolve data quality issues and implement corrective measures

Create data quality reports and present at senior level stakeholders

For Senior level:

• Lead Data Quality initiatives and implement frameworks to ensure accuracy and reliability
• Develop and maintain data quality metrics and dashboards
• Collaborate with data owners to defineand enforce data governance policies
• Mentoring and provide technical guidance and support

Degree inn Information Communication Technology/Software Engineering/Computer Science/ Information systems

3-5 years experience in Data / Analytics/BI

2 years experience as a Data quality specialist/ or analyst working with Data Quality tools

Experience in Business analyses and documenting requirements

Between 3 - 5 Years

Empowering Africa's tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary
The Data Quality (DQ) Capability Lead is responsible for defining, implementing, and continuously improving data quality management capabilities across the organisation. This role leads the data quality capability team, ensuring effective delivery of services, adoption of tools, and alignment to the data governance framework. The role ensures data quality processes, tools, and practices enable trusted, accurate, and fit-for-purpose data, while driving adoption of enterprise-wide data quality standards, monitoring, and remediation practices.

Job Description
Key Responsibilities

• Lead the Data Quality Capability team, providing direction, coaching, and performance management to ensure delivery of high-quality services and continuous upskilling.
• Define, maintain, and optimise the data quality management operating model, including processes, procedures, KPIs, and responsibilities across the organisation.
• Own and govern enterprise-wide data quality standards, rules, and controls to ensure accuracy, completeness, timeliness, validity, and consistency of data.
• Define and maintain data quality metrics and reporting to enable transparent measurement of data health and accountability.
• Collaborate with data owners, custodians, and stewards to define, validate, and maintain data quality rules for critical data elements.
• Own and manage data quality tools and platforms, ensuring they support monitoring, remediation, and reporting needs effectively.
• Define and deliver training, communication, and enablement activities to build awareness and adoption of data quality practices across the organisation.
• Drive integration of data quality into upstream and downstream processes, including data lineage, metadata management, and data governance workflows.
• Support compliance with regulatory and internal requirements by ensuring data quality controls are implemented effectively.
• Facilitate collaboration across data domains and communities of practice to align data quality practices, share lessons learned, and resolve issues.
• Contribute to the design and execution of the enterprise data management and governance strategy, focusing on data quality enablement.

Education And Experience Required

• Minimum 3 years' experience defining or practicing enterprise data management and governance.
• BSc Information Technology, Risk Management, or equivalent Diploma.
• Proven experience in successfully implementing data quality capabilities, such as data profiling, data quality rules, monitoring, and remediation.
• Experience implementing data quality solutions or tools (e.g., Ataccama, Informatica, Collibra DQ, Talend) is advantageous.
• Exposure to data visualisation tools such as QlikView or Power BI advantageous.
• Minimum 3 years in Financial Services Industry.
• Preferred: 8–10 years' experience in data management, governance, or related fields.
• 3+ years leadership experience in managing teams in a data management or governance context.

Knowledge & Skills

• Strong understanding of data quality dimensions and principles (accuracy, completeness, consistency, validity, timeliness, uniqueness).
• Stakeholder management and change management fundamentals.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Ability to define and implement standards, frameworks, and processes for data quality management.
• Strong stakeholder engagement and change management skills to drive adoption across business and technology teams.
• Analytical and problem-solving skills with attention to detail.
• Excellent communication skills to explain data quality concepts to technical and non-technical audiences.
• Exposure to metadata, data lineage, and data architecture principles advantageous.
• Understanding of regulatory and compliance requirements related to data quality.
• Must be familiar with broader data management principles, including metadata, reference data, master data, and data governance.

Education
Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertised

Empowering Africa's tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

The Data Quality (DQ) Capability Lead is responsible for defining, implementing, and continuously improving data quality management capabilities across the organisation. This role leads the data quality capability team, ensuring effective delivery of services, adoption of tools, and alignment to the data governance framework. The role ensures data quality processes, tools, and practices enable trusted, accurate, and fit-for-purpose data, while driving adoption of enterprise-wide data quality standards, monitoring, and remediation practices.

Job Description

Key Responsibilities

• Lead the Data Quality Capability team, providing direction, coaching, and performance management to ensure delivery of high-quality services and continuous upskilling.
• Define, maintain, and optimise the data quality management operating model, including processes, procedures, KPIs, and responsibilities across the organisation.
• Own and govern enterprise-wide data quality standards, rules, and controls to ensure accuracy, completeness, timeliness, validity, and consistency of data.
• Define and maintain data quality metrics and reporting to enable transparent measurement of data health and accountability.
• Collaborate with data owners, custodians, and stewards to define, validate, and maintain data quality rules for critical data elements.
• Own and manage data quality tools and platforms, ensuring they support monitoring, remediation, and reporting needs effectively.
• Define and deliver training, communication, and enablement activities to build awareness and adoption of data quality practices across the organisation.
• Drive integration of data quality into upstream and downstream processes, including data lineage, metadata management, and data governance workflows.
• Support compliance with regulatory and internal requirements by ensuring data quality controls are implemented effectively.
• Facilitate collaboration across data domains and communities of practice to align data quality practices, share lessons learned, and resolve issues.
• Contribute to the design and execution of the enterprise data management and governance strategy, focusing on data quality enablement.

Education and Experience Required

• Minimum 3 years' experience defining or practicing enterprise data management and governance.
• BSc Information Technology, Risk Management, or equivalent Diploma.
• Proven experience in successfully implementing data quality capabilities, such as data profiling, data quality rules, monitoring, and remediation.
• Experience implementing data quality solutions or tools (e.g., Ataccama, Informatica, Collibra DQ, Talend) is advantageous.
• Exposure to data visualisation tools such as QlikView or Power BI advantageous.
• Minimum 3 years in Financial Services Industry.
• Preferred: 8–10 years' experience in data management, governance, or related fields.
• 3+ years leadership experience in managing teams in a data management or governance context.

Knowledge & Skills

• Strong understanding of data quality dimensions and principles (accuracy, completeness, consistency, validity, timeliness, uniqueness).
• Stakeholder management and change management fundamentals.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Ability to define and implement standards, frameworks, and processes for data quality management.
• Strong stakeholder engagement and change management skills to drive adoption across business and technology teams.
• Analytical and problem-solving skills with attention to detail.
• Excellent communication skills to explain data quality concepts to technical and non-technical audiences.
• Exposure to metadata, data lineage, and data architecture principles advantageous.
• Understanding of regulatory and compliance requirements related to data quality.
• Must be familiar with broader data management principles, including metadata, reference data, master data, and data governance.

Education

Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised

The Senior Data Quality Analyst is responsible for leading initiatives that ensure the accuracy, consistency, and reliability of the organisation’s data assets. This role involves designing and implementing data quality frameworks, monitoring key data quality metrics, and collaborating with stakeholders across business and technology units to maintain high data standards. The incumbent acts as a subject-matter expert in data quality tools and governance practices, driving a culture of data integrity and continuous improvement throughout the organisation.

Key Responsibilities:

Right to Care is currently recruiting Data Quality Mentors to o provide Technical Assistance aimed at Data Quality improvement and Information Technology Support to facilities across Mpumalanga Province. Positions are available in the following sub-districts: under Ehlanzeni District – 2 in Bushbuckridge, 2 in Mbombela, 2 in Nkomazi, and 1 in Thaba Chweu; under Gert Sibande District – 2 in Chief Albert Luthuli, 1 in Dipaleseng, 2 in Govan Mbeki, 1 in Lekwa, 2 in Mkhondo, 1 in Dr. Pixley Ka Isaka Seme, and 1 in Msukaligwa; and under Nkangala Distric t – 2 in Dr. JS Moroka, 1 in Emakhazeni, 2 in Emalahleni, 1 in Steve Tshwete, 2 in Thembisile Hani, and 1 in Victor Khanye.

Providing Data Quality Technical Assistance to DoH.

• Assist the facility to achieve 100% of ART facilities signed off in THIS MODULE, including support for installation, version upgrades, user training, oversight of back-capturing targets, data cleaning training, quality assurance (data cleaning and audit), and sign-offs.


• Capacitate facilities with implementing the Tier.net modules for HTS, Pre-ART, and TB, as and when required by NDoH and district.


• Assist the facility with ensuring that 100% of monthly Tier.net dispatch files and quarterly CSV files are received from ART facilities.


• Assist the facility with reaching 100% of COP-funded T2 facilities with monthly Data Cleaning and routine site visits as per Site Visit Task List; and reaching 100% of T2 facilities with quarterly Tier.net audits.


• Assist the facility with ensuring that 100% of COP-funded Tier.net facilities are generating and utilising all available Tier.net reports as per Reports Manual and ART M&E SOP.


• Assist DoH and RtC sub-district teams with conducting M&E-related sections of facility assessments/audits, including AG audits and SIMS visits.


• Assist the facility with monthly Data Quality Assurance from registers to DHIS, including addressing any queries/gaps/errors, for selected TB/HIV- and DIP-related indicators.


• Support all COP-funded facilities on monthly basis with compiling and implementing Data Quality Improvement Plans, based on issues identified in monthly Data QA


• Assist DoH sub-district team with supporting 100% of COP-funded facilities on monthly basis with compiling/updating facility run charts, data dashboards and TB/TRAP Barometers for all relevant DIP indicators.


• Assist DoH sub-district team with capacitating 100% of COP-funded facilities on monthly basis to conduct comprehensive data review during monthly clinic meetings, to enhance data usage for identifying and addressing gaps in clinical service delivery.

Conducting data-related trainings

• Capacitate facility-based staff and RtC Data Capturers at 100% of COP-funded facilities on 

• the DHMIS policy and DHMIS Facility-Level SOP


• the ART M&E SOP and Tier.net Report Manual.


• the DIP run charts, dashboards and TB/TRAP Barometers 


• HIV/TB-related and DIP-related DoH data elements/indicators and their definitions, as well as all related data management on applicable registers,


• the HIV Clinical Stationery


• functionalities of Tier.net

Reporting data

• Obtain data on key indicators on a daily/weekly basis from all relevant facilities for the chosen indicators and send to the knowledge centre for analysis.


• Obtain data on key indicators on quarterly basis from all relevant sources (DHIS pivot tables, Tier.net raw data and reports, and pre-ART data) and submit to the M&E Officers for the purpose of donor reporting.


• Provide the RtC sub-district TA team with monthly facility data as well as sub-district data, aligned with DoH priorities, tools and templates.

Engaging in continuous professional development

• Stay informed of DoH reporting requirements and procedures relating to HIV/TB, including the DHMIS policy, DHMIS Facility-Level and sub-district level SOPs, ART M&E SOP, ETR.net policies and SOPs, and DIP cascades and run charts.


• Stay informed of all DoH data elements/indicators, their definitions, and data collection registers, as relating to HIV/TB services and the DIP, as applicable within the province.


• Stay updated on all aspects of Tier.net implementation, including version upgrades, user training, installation procedures, data cleaning procedures, reporting functionalities, and flow of dispatches & CSV files.


• Stay updated on all applicable aspects of DHIS, including data cleaning procedures, reporting, import/export, maintenance and other functionalities, data usage procedures, and where applicable DDC/eTools.


• Take responsibility for own professional growth and development, by staying informed of best M&E and Data Quality practices, attending compulsory and/or relevant trainings, and identifying and attending further trainings/studies, as relevant to the career.

Displaying a healthy work ethic, attitude and behaviour

• Participate in all relevant RtC and DoH meetings/workshops, including but not limited to DIT/SDIT meetings, HAST Quarterly Reviews and PHC meetings, and DIP meetings.


• Build strong relationships with all relevant DoH staff at all levels within the RtC-supported sub-district, with regards to data management, M&E, HAST/PHC programmes, and IT.


• Adhere to all internal reporting requirements.


• Maintain the central repository on the secure M&E share-drive of all relevant documents, including: Data QA tool; DHIS pivots (originals as well as with data validation notes); ETR.net reports (i.e. Facility Reports as well as Summary, TB/HIV Collaboration, TB Outcomes, Sputum Conversion); Pre-ART stats; Tier.net dispatches; Tier.net audit tools; Tier.net sign-off documents; Tier Progress Facility List; Site M&E Support Overview; TA Programme Key Indicator Stats Overview; facility-level and sub-district level data presentations (i.e. cohort analyses, facility data reviews, etc); Contact Details list; DQM Logsheet; Monthly Progress Reports; and Training/Mentoring records.


• Adhere to appropriate time & attendance standards and procedures and other HR policies.


• Maintain good communication and interpersonal skills.


• Any other relevant and reasonable tasks, as and when required, which promote team work / team spirit and contribute to the overall objectives of the organisation.

Required minimum education and experience

• Tertiary qualification or post-matric IT certificate, or 3 years of relevant experience


• Background in data management and IT Support


• Training in M&E or IT


• Post-matric certificate in IT and computer literacy including Excel, OR equivalent experience


• Proficiency in English


• Experience in data verification OR IT Help Desk


• 2 years’ experience in working with IT systems and Data

Desirable education

• Tertiary qualification OR IT Certificate, IT


• Training in M&E OR End-User Computing


• Computer literacy including Excel, OR equivalent experience


• Training on DHIS


• Strong knowledge of Systems Analysis and Design


• Proficiency in English and one local language in location of post