496 Big Data Analytics 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 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.

Overview

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).

• 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.

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

Overview

Eduvos is looking to employ an IS Lecturer at our Mowbray campus on an independent contract basis.

• Independent Contract

• To lecture Information Technology-related modules in the faculty on a full-time basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

• Associate

• Full-time

• Education and Training

• Higher Education

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

Overview

University: Heidelberg University
Country: Germany
Deadline:
Fields: Bioinformatics, Computer Science, Medical Technology, Image Analysis, Data Science

Are you passionate about harnessing the power of data science and image analysis to revolutionize medical diagnostics and patient care? This doctoral opportunity at the University Medical Center Mannheim, part of Heidelberg University, offers a PhD position in ophthalmology, working alongside clinicians and scientists to advance science and patient outcomes.

About The University or Research Institute

Heidelberg University is one of Germany’s oldest and most renowned institutions. Its Medical Faculty Mannheim, in partnership with the University Medical Center Mannheim, leads in medical research, education, and clinical care. The University Medical Center Mannheim serves a large regional footprint, with numerous clinics and institutes and a substantial staff, providing a rich environment for interdisciplinary research and professional growth. Mannheim is a vibrant city in southwestern Germany with strong links to Europe's research and industry networks.

The PhD focuses on developing and implementing advanced algorithms for ophthalmological image data analysis. The rapid expansion of imaging technologies has generated enormous, complex datasets. The project aims to address challenges such as integrating multimodal data and creating robust, scalable solutions to support more accurate diagnostics, personalized treatments, and improved patient outcomes. The research has implications for broader medical imaging, artificial intelligence, and healthcare innovation.

European and German PhD opportunities in related fields are listed on the official job advertisement and related research institution pages.

As a doctoral student in the Department of Ophthalmology, you will:

• Develop and implement algorithms for analyzing image data, including multimodal approaches where necessary.
• Co-develop solutions that integrate various image analysis algorithms.
• Collaborate closely with researchers and physicians in ophthalmology.
• Engage in regular reporting, data curation, data analysis, and quality management.
• Prepare scientific publications and contribute to third-party funding applications.

This is a fixed-term contract for three years, with the possibility of extension. The position offers a high level of responsibility, a diverse range of tasks, and the opportunity to work within an open-minded and motivated team. You will benefit from Heidelberg University’s internal educational programs, support for balancing family and career, and competitive remuneration according to the Collective Agreement for the Public Service of the Federal States (TV-L), including pension benefits.

Ideal Applicants Will Have

• A completed degree (diploma or master’s) in bioinformatics, computer science, medical technology, image analysis, or a comparable field.
• Solid knowledge in machine learning and computer vision.
• Experience with scientific workflows, including data collection, management, and statistical analysis.
• Excellent written and spoken German and English language skills.
• A dynamic, highly organized, and creative personality with a proactive and independent work style.

The University Medical Center Mannheim values diversity and is committed to equal opportunities. Severely disabled persons will be given priority in cases of equal suitability.

For further information, please refer to the official advertisement at the following link:

Application deadline:

Reference number: 899-076

If you are eager to advance your expertise at the intersection of data science, medical imaging, and clinical research, and wish to contribute to meaningful innovations in healthcare, this PhD position at Heidelberg University offers a unique platform. We encourage qualified and motivated candidates to apply and explore related opportunities in this dynamic field.

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Lead Data Science & Analytics – Drive Innovation!

Are you a data-driven leader ready to shape the future of analytics? We’re looking for a Data Science & Analytics Manager to lead a high-performing team and drive data-powered decision-making in a cutting-edge environment.

What You’ll Do:

• Build and lead a team of Data Scientists & Analysts.
• Develop and execute a strategic data science vision.
• Work with stakeholders to drive innovation through data.
• Implement machine learning & predictive analytics models.
• Ensure scalable, high-impact data solutions.

What You’ll Need:

• Degree/Masters/PhD in a quantitative field (Actuarial Science, Statistics, Computer Science, etc.).
• 10+ years of hands-on data science experience .
• Expertise in Python, SQL, Power BI, Azure, and ML frameworks .
• Strong background in big data, cloud infrastructure, and predictive modeling .
• Proven ability to bring data science solutions into production .

Why Join Us?

• Lead a data-driven transformation.
• Work with cutting-edge technologies.
• Collaborate with top industry experts.
• Competitive salary & growth opportunities.

Mid-Senior level

Full-time

Business Development and Other

Data Infrastructure and Analytics

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Experience: Over 3 years of experience in data analytics
• Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience.
• Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions.
• Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques.
• Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
• Experience using Data Science algorithms and methods to solve business problems using R or Python
• Excellent capability in SQL to extract data from databases
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Utilities

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