What Jobs are available for Data Analysis 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

Advert reference: uj_

Advert status: Online

Apply by: 31 October 2025

Position Summary

Industry: Education & Training

Job category: Education and Training

Campus: Auckland Park Kingsway Campus

Contract: Permanent

Remuneration: Market Related

EE position: EE

Level: Management

Introduction

The University of Johannesburg (UJ) is a vibrant and cosmopolitan institution, guided by its bold UJ Strategy 2035, which emphasises Societal Impact and Sustainability, Global Footprint and Partnerships, and Technology for the Future. Committed to transformative change, UJ's mission is "To transform and serve humanity through innovation and the collective and collaborative pursuit of knowledge." The University is guided by the vision of building "An international university of choice, anchored in Africa and the global south, dynamically shaping a sustainable future".

Job description

"Please note that the University is obligated, in terms of recent amendments to the Criminal Law (Sexual Offences and Related Matters) Amendment Act 2021 (Act 13 of 2021), to assess all prospective employees (including applicants) against the National Register for Sex Offenders (NRSO). The outcome of such an assessment may have an impact upon possible employment with the University.

For more information, please review the following link: Justice/Criminal/NRSO

Job Description:

The Centre for Academic Technologies (CAT) supports teaching and learning through innovative and advanced technologies. Ensuring the training and support of the use of such technologies for both staff and students is a central part of CAT. CAT consists of staff support (Learning Experience Advisors Team), student support (Helpdesk Team), and technical/data support (IT team). Ultimately, we support all staff, students, and support stakeholders on all four of our UJ campuses. The purpose of this role is to develop, support, and maintain bespoke technologies for teaching, learning, and research.

Responsibilities:

• Understand the basic teaching and learning support provided by CAT to staff & students.
• Understand the basic technicalities of the Learning Management System.
• To work accurately with numbers and use different statistical techniques.
• Develop and design reports in a timely manner and aligned with the stakeholder requirements.
• Execute the data visualisation that is fit-for-purpose.
• Ensure accurate, reliable and relevant data and information are gathered from trustworthy internal and external information sources for reporting and planning processes.
• Interpret relevant data and present findings to relevant stakeholders that respond to the objectives identified in CAT relating to Teaching & Learning activities such as student progress tracking, learning analytics, etc.
• Build working relationships across divisional teams and functional lines to enhance work delivery, collaboration, and innovation.
• Test projects where developments have been completed by referencing the specification to ensure that the right results are achieved according to the stakeholders' requirements.
• Support capacity building within CAT and other relevant support services in providing data and analysis for planning processes.
• Manage the detailed T&L processes, which include supporting faculties with relevant analyses of current and historical Learning Management System trends and future projections.
• Monitor, identify and analyse trends in various projects related to student success.
• Design and develop intuitive, user-centred visualisations and multimedia that effectively communicate complex data insights.
• Create compelling data narratives that guide stakeholders to actionable insights.
• Transform analytical findings into accessible formats for diverse audiences, including academics, managers, administrators, and students.
• Maintain multimedia assets in alignment with UJ's branding standards.

Minimum requirements

• A Bachelors' degree (NQF 7) in Information Science, Knowledge Management or Statistics.
• At least three (3) years' experience in working with data extraction, analysis and visualisation.
• Proven experience and ability in working with, analysing, and interpreting data.
• Knowledge of accessibility standards for data visualisations (WCAG).

Competencies and Behavioural Attributes:

• Expertise in data visualisation tools (e.g., Power BI, Tableau).
• Proficiency in multimedia production software (video editing tools, animation software).
• Strong understanding of visual design principles and information architecture.
• Expertise in translating complex data into compelling visual narratives for diverse audiences.
• Proven experience and ability in data mining and data creation.
• Proven experience in a detailed planning environment.
• Ability to perform under pressure.
• Excellent writing, oral and electronic communication skills.
• Proven ability to produce high level proposals and reports.
• Excellent presentation skills.

Recommendations:

• An Honour's degree, or equivalent experience in a relevant field (e.g. information science, knowledge management or statistics).
• Experience working in the higher education sector
• Knowledge of trends in national and international higher education.
• Certification in specialised visualisation tools (such as Power BI).
• Understanding of user experience (UX) design principles.

Enquiries:

Enquiries regarding job content: Prof Corne Meintjes (Director: CAT) on Tel:

Enquiries rearding remuneration and benefits: Ms. Busisiwe Dumezweni (HCM Business Partner) on Tel:

Your application, comprising of a detailed Curriculum Vitae as well as the names and full contact details (including telephone numbers and e-mail addresses) of at least three traceable and credible referees must be uploaded before or on the closing date of the advertised post. Please also attach the following: a copy of your highest academic qualification, proof of registration with professional bodies you might belong to and if applying for an academic position, a list of accredited research output and/ or a portfolio of your creative output.

If you require technical support / assistance on the UJ e-recruitment website, please contact our service provider PNET on the following contact details: / or email

Candidates may be subjected to appropriate psychometric testing and other selection instruments.

In conjunction to merit on the basis of qualifications, experience and proven achievements the University of Johannesburg is committed to providing equal employment opportunities for persons with disabilities and those individuals from the historically disadvantaged groups. As necessitated by operational requirements the University reserves the right not to make an appointment to positions advertised. If you have not received a response from the University within 8 weeks of the closing date, you should assume that your application has been unsuccessful.

Please note that the University is obligated, in terms of recent amendments to the Criminal Law (Sexual Offences and Related Matters) Amendment Act 2021 (Act 13 of 2021), to assess all prospective employees (including applicants) against the National Register for Sex Offenders (NRSO). The outcome of such an assessment may have an impact upon possible employment with the University.

• Research / Data Analysis jobs

About Our Client

Our client is a global data intelligence company providing accurate and comprehensive information about millions of businesses worldwide. Their mission is to fuel insights and decision-making across industries with speed, scale, and accuracy.

Role Overview

We are looking for a
detail-oriented and analytical Data Entry Specialist – Data Mining Analyst
to join our client's dynamic data operations team. You will play a vital role in ensuring accuracy, consistency, and quality of the vast datasets that drive business and client solutions. While this role does not involve direct client interaction,
strong English comprehension
is required to interpret complex company records, documents, and instructions.

Key Responsibilities

• Review, validate, and enter company data with speed and precision.
• Interpret and process English-language company documents, instructions, and records.
• Track, clean, and maintain data to ensure consistency and quality.
• Perform data mining and analysis to identify patterns, anomalies, and trends.
• Collect and organize data from both structured and unstructured sources.
• Troubleshoot data-related issues to maintain data integrity.
• Support process improvements to enhance data quality, automation, and efficiency.

Tools Used

• Proprietary browser-based software
• Perplexity Pro
• Google Suite (Docs, Sheets, Gmail, Chat)
• Zoom (for collaboration)
• Potential future use of Jira

Qualifications

• Strong English reading comprehension and attention to detail.
• Proven experience in
  data entry, data validation, or data analysis
  roles.
• Proficiency with Google Sheets/Excel.
• Analytical mindset with the ability to spot patterns and discrepancies.
• Ability to work independently with minimal supervision.

Preferred

• Experience working with large-scale datasets.
• Knowledge of data quality control techniques.
• Comfortable in a
  fast-paced, metrics-driven
  environment.