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Data Analytics Learnership

TP

Wes-Kaap

On-site

ZAR 200,000 - 300,000

Full time

3 days ago
Be an early applicant

Job summary

An educational organization offers a Data Analytics Learnership for unemployed youth in South Africa. This skills development opportunity focuses on building in-demand digital and data skills. Ideal candidates are unemployed individuals aged 26 or younger with some qualifications in IT, Computer Science, or related fields. By participating, they will receive practical training and support to launch a career in tech and analytics.

Qualifications

  • Applicants must be unemployed and 26 years old or younger.
  • Must have some IT, Computer Science, or digital/data qualifications.
  • Experience in related roles or digital projects is beneficial.

Responsibilities

  • Gain practical Data Analytics training and exposure to business tools.
  • Build a professional profile with support and guidance.
  • Prepare to launch a career in tech and analytics.

Skills

IT or Computer Science knowledge
Experience with Excel
Experience with SQL
Experience with Python
Experience with Power BI

Education

IT, Info Systems, Data Analytics or Computer Science

Tools

Microsoft Excel
SQL
Python
Power BI
Google Sheets
CRM systems

Job description

DATA ANALYTICS LEARNERSHIP - UNEMPLOYED

Help Us Spread the Word: Data Analytics Learnership!

We have 15 seats available for a career-boosting Learnership in Data Analytics — and we’re calling all to help share this opportunity with eligible youth in your communities, families, and networks.

About the Learnership

This is a skills development opportunity designed for unemployed youth who want to build real-world, in-demand digital and data skills — and launch a career in tech and analytics.

Who Should Apply?

Applicants must be:

  • Unemployed
  • 26 years old or younger
  • NOT currently on a learnership/ NOT withdrawn from a learnership in the last 12 months
  • Have some IT, Computer Science, or digital/data-related qualifications (short courses, diplomas or higher)

They’re likely to succeed if they have:

  • Studied IT, Info Systems, Data Analytics or Computer Science
  • Completed short courses in Excel, SQL, Python, Power BI, etc.
  • Experience in roles like IT intern, data capturer, admin assistant, helpdesk, or even self-taught digital projects

Advantageous Tools Experience:

  • Microsoft Excel (pivot tables, formulas)
  • SQL or Python
  • Power BI or Tableau
  • Google Sheets
  • CRM systems (Salesforce, SAP, etc.)

What They’ll Gain:

  • Practical Data Analytics training
  • Exposure to real business tools and environments
  • Support and guidance to build a professional profile
  • A launchpad into tech and analytics careers

Closing Date: 11 August 2025

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