19 Data Validation 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

We are seeking a highly analytical and detail-oriented Enterprise Investment Data Integrity Specialist to join our client's team in Cape Town. This is a shared role between the Investment Management and Enterprise Risk Management teams, providing vital support in investment data quality, risk analytics and financial risk management processes.

You will play an instrumental role in maintaining a trusted, best-in-class investment dataset to support asset allocation, portfolio management and reporting. The role will also involve close collaboration with teams in the US and Bermuda, with the potential to lead a small team locally in South Africa.

Key Responsibilities:

• Analyse and communicate key drivers of risk and performance.
• Oversee stress results and provide insights into asset portfolio risk.
• Develop and maintain risk and analytics tools.
• Conduct investment data validation, verification and improvement.
• Identify and resolve data quality issues while implementing preventative solutions.
• Contribute to continuous improvement initiatives across investment data and risk assessments.
• Maintain accurate process documentation and ensure best practices.
• Provide training and support on data integrity practices.

Qualifications & Skills:

• Risk management or relevant experience within asset management, (re)insurance, banking or similar industries.
• Strong understanding of Fixed Income products.
• Proven experience in data management and data quality within the financial sector.
• Strong technical, analytical, and project management skills.
• Excellent written and verbal communication skills.
• Ability to work independently across global teams.
• Advanced MS Excel skills; MS SQL knowledge an advantage.

This is an exciting opportunity for a professional with strong financial data expertise to make a real impact in a global investment and risk management environment.

Interested candidates are invited to apply. Please note, only shortlisted applicants will be contacted.

Job Description

To gather data, store and maintain data, ensure its integrity and quality, and processing it into structured presentation as information

Manage costs / expenses within approved budget to achieve cost efficiencies.

Deliver exceptional service that exceeds customers' expectations through proactive, innovative and appropriate solutions.

Cultivate and manage objective working relationships with a variety of stakeholders, including end-users, SME's, project managers and senior staff members.

Accurate and timely delivery of all Financial and Non-Financial MIS for the business to ensure better decision-making.

Comply with governance in terms of legislative and audit requirements.

Ensure accurate and timely delivery of all Revenue Analysis for the business.

Accurate and timely delivery of source files to Business Intelligence Unit to ensure business have relevant information to maximise business opportunities.

Improve business decisions by providing accurate and reliable business intelligence (information) together with analyzing trends and data (monthly) for business.

Manage own development to increase own competencies.

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

24/09/25

All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

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.