1. Age
- Between 22 and 28 years old at the time of application.
2. Qualification
Applicants must possess one of the following qualifications:
- Diploma or Degree in Data Analytics
- Data Science
- Information Technology
- Computer Science
- Information Systems
- Software Development
- Business Intelligence
- Applied Mathematics
- Actuarial Science
- Computer Engineering
- Artificial Intelligence
- Machine Learning
- Digital Technologies
- BSc Computer Science
- Statistics graduates
- Mathematics graduates
- Information Systems graduates
- Data Science graduates
- BEng graduates
Applicants with relevant occupational certificates in Data Analytics or Data Science may also be considered.
3. Technical Knowledge
Applicants should demonstrate knowledge of at least some of the following:
- Microsoft Excel (Intermediate to Advanced)
- Data analysis
- Data visualisation
- Database concepts
- SQL
- Python (preferred)
- Power BI or Tableau
- Microsoft Office Suite
- Basic statistics
- Data cleaning and preparation
4. Artificial Intelligence Readiness
Because this programme includes AI Integration, applicants should demonstrate interest or experience in:
- Generative AI tools
- ChatGPT or Microsoft Copilot
- AI-assisted research
- Prompt engineering
- Automation
- Digital transformation
- Responsible use of AI
Formal AI certification will be advantageous but is not mandatory.
5. IT Competencies
Candidates should have an understanding of:
- Computer hardware fundamentals
- Networking basics
- Cloud computing concepts
- Cybersecurity awareness
- File management
- Microsoft 365
Knowledge of Microsoft Azure or AWS would be advantageous.
6. Project Skills
Candidates should understand basic project management concepts such as:
- Planning
- Scheduling
- Documentation
- Stakeholder communication
- Reporting
Experience using any project management software will be advantageous.
Examples include:
- Microsoft Planner
- Microsoft Project
- Jira
- Trello
- Asana
- Monday.com
This aligns well with Diana's emphasis on introducing structured project management tools and digital work management.
7. Analytical Skills
Applicants should be able to demonstrate:
- Logical thinking
- Problem solving
- Critical thinking
- Pattern recognition
- Numerical reasoning
- Attention to detail
8. Communication Skills
Applicants should have:
- Good written English
- Professional communication skills
- Ability to present information
- Report writing skills
9. Work Readiness
Applicants should:
- Be unemployed
- Be available for the full learnership duration
- Be committed to learning
- Be willing to attend workplace training
- Be willing to travel if required
Advantageous Certifications
Candidates who possess any of the following certifications will receive preference:
Microsoft
- Microsoft Excel Associate
- Microsoft Power BI Data Analyst
- Microsoft Azure Fundamentals (AZ-900)
- Microsoft AI Fundamentals (AI-900)
- Microsoft Data Fundamentals (DP-900)
Google
- Google Data Analytics Professional Certificate
IBM
- IBM Data Analyst
- IBM Data Science Professional Certificate
Cisco
- Cisco Data Analytics Essentials
Oracle
- Oracle Database Foundations
AWS
Behavioural Competencies
Successful candidates should demonstrate:
- Curiosity
- Adaptability
- Continuous learning mindset
- Innovation
- Integrity
- Teamwork
- Initiative
- Accountability
- Time management
- Resilience
Required Documents
Applicants must submit:
- Updated CV
- Certified copy of ID
- Certified qualification(s)
- Academic transcript
- Proof of residence
- SARS Tax Number (if available). CVs to be send to
Pay: R6 500,00 - R7 000,00 per month
Work Location: In person
