65 Data Management Professional jobs in South Africa

Eduvos is looking to hire the services of an Independent Contractor, Data Analysis Lecturer, at our Durban campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours degree in Statistics/ Data Science / Mathematics/ Computer Science/ Information Systems or a relevant qualification (A Masters qualification will be an advantage)

Experience:

• Minimum: 1 - 2 years relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Introduction to Data Analysis
• Computer Skills (All Levels)

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Eduvos is looking to hire the services of an Independent Contractor, Data Analytics and Data Analysis Lecturer, at our Vanderbijlpark campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Commerce-related modules, in the faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours in ITC
• Certificate in Power BI

Experience:

• Relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Data Analytics (Power BI)
• Data Analysis

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Project:
Implementation Study on the Dapivirine Vaginal Ring

Location:
Remote

Duration:
12 months, part-time consultancy basis

Application Deadline:
20 October 2025

Background

An implementation study on the dapivirine vaginal ring (DVR) was conducted in South Africa, Kenya, Zimbabwe, Lesotho, Uganda and Eswatini. The study generated quantitative data on uptake, adherence, and user experiences. We are seeking a qualified Biostatistician to support data analysis for an implementation study on the dapivirine vaginal ring, a long-acting biomedical HIV prevention method. The consultant will analyze quantitative data on uptake, adherence, and user experiences, producing report and publication-ready results to inform regulatory, policy and programmatic decisions.

Scope of Work

· Review study protocol, objectives, and datasets.

· Develop and finalize a statistical analysis plan (SAP).

· Clean and merge datasets

· Conduct appropriate statistical analyses, including descriptive, inferential, and multivariable analyses

· Provide guidance on data quality, management, and handling of missing data.

· Generate report and publication-ready tables, figures, and outputs.

· Contribute to interpretation of findings and drafting of results sections for reports and manuscripts.

· Participate in virtual meetings with the study team as needed.

Deliverables

· Finalize statistical analysis plan.

· Clean and merge datasets

· Write reproducible code (Stata/R/SAS preferred) and conduct appropriate statistical analyses.

· Comprehensive results tables and figures (report and publication ready).

· Analytical report summarizing findings.

· Contributions to reports, manuscripts, policy briefs, and presentations as needed.

Qualifications

· Advanced degree (MSc) in Biostatistics, Statistics, or related quantitative field, PhD preferrable.

· Demonstrated experience in analyzing implementation science or public health studies.

· Proficiency in Stata, R, or SAS.

· Strong track record of peer-reviewed publications or reports.

· Familiarity with HIV prevention research and/or women's health interventions desirable.

· Excellent communication skills and ability to work collaboratively with multidisciplinary teams.

Level of Effort & Duration

Estimated 12 days per month (3 days/week) over 12 months (with flexibility based on agreed scope) from 01 November 2025 to 31 October 2026. Remote, with communication primarily via email/virtual meetings.

How to Apply

Interested applicants should submit:

1. Cover letter outlining relevant experience.

2. CV (max 4 pages).

3. Example(s) of previous analysis outputs (tables/figures/manuscript contributions).

4. Proposed daily or monthly consultancy rate.

Send applications to:

Deadline: 20 October 2025

TB HIV Care (THC), in existence since 1929, is an internationally recognised non-profit organisation. We provide health care services throughout South Africa to both the general population and communities at increased risk for HIV and TB, including adolescent girls and young women, sex workers and people who use drugs. THC provides a stimulating work environment and the opportunity to work with leaders in the field of HIV and TB prevention and care. Our work culture is adapted to the constantly evolving South African health care environment and will suit solution-driven team players interested in opportunities for career development while working to connect people with care.

Purpose of the position:

To provide oversight and technical support to THC data capturers through facility level supervision and support visits (e.g. visit a facility once every two months), capacity building and data quality assurance (e.g. apply data verification tool every second visit to a facility and leave facility with an action plan). To support the flow of facility level data for accurate and timeous weekly, monthly, quarterly, semi-annual and annual reporting.

• NQF level 6 or equivalent qualification in data management or statistics, health, public health, social sciences, information technology, or related field will be an advantage
• At least 3 years' experience in data quality management, verification, conducting routine data quality assessments (RDQA) or data quality audits
• Experience in working on donor-funded projects is desirable
• Good understanding and experience in using one of the following NDoH information management systems (District Health Information System (DHIS), TIER.Net, Electronic Drug Resistance Register (EDRWEB), and/ Patient Record and Health Management Information System (PREHIMS) or Primary Health Care Information System (PHCIS), will be an added advantage
• Valid driver's licence and be willing to travel
• Clear criminal record

• Provide guidance to facility and community staff, relating to the effective ways to implement and adhere to the six key stages of data management
• Work with the M&E officers to develop and implement data quality assessment tools
• Conduct regular data verification visits, including detailed checking of reported data against source documents
• Ensure that data management systems and procedures are in place, implemented and adhered to
• Oversee TB project data management reports, as well as participate in data review meetings
• Conduct routine data quality assessments (RDQA) / data quality audits
• Write professional reports and provide feedback on data quality issues detected.
• Perform basic data analysis with the view to provide recommendations on improvement of data quality measures and controls
• Supervise data capturers within the sub-district to ensure that the data captured is valid, complete and has integrity
• Promote data usage for continuous quality improvement through feedback, training and capacity building activities
• Assist data capturers, facility and community staff, to develop data quality management plan (DQMP) to maintain data quality standards

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