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Apprentice Data Analyst
Remote / Online - Candidates ideally in
Stellenbosch, 7600, South Africa
Listed on 2026-09-28
Stellenbosch, 7600, South Africa
Listing for:
Placements24
Full Time, Apprenticeship/Internship, Remote/Work from Home
position Listed on 2026-09-28
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
About the Role
Our client is seeking ambitious individuals for a fully remote Apprentice Data Analyst role, supporting operations based in Stellenbosch . This apprenticeship provides an exceptional pathway for individuals with strong analytical skills and a passion for data to enter the field. You will work closely with experienced data scientists and analysts, learning to collect, clean, analyze, and interpret complex datasets to derive actionable insights.
This is a fantastic opportunity to gain hands-on experience with cutting-edge analytics tools and methodologies in a supportive, remote
-first environment, contributing directly to data-driven decision-making across the organization.
- Assist in collecting and organizing data from various sources for analysis.
- Perform data cleaning and preprocessing to ensure data accuracy and integrity.
- Conduct basic data analysis using statistical methods and tools.
- Create visualizations and reports to communicate findings to the team.
- Collaborate with senior analysts on data-related projects.
- Participate in training sessions and self-study to develop proficiency in data analysis tools and techniques.
- Strong analytical and problem-solving abilities.
- Basic understanding of statistical concepts.
- Familiarity with spreadsheet software (e.g., Microsoft Excel ) is essential.
- An interest in learning data analysis tools and programming languages like Python or R .
- Excellent attention to detail and ability to manage multiple tasks.
- Strong written and verbal communication skills suitable for a remote setting.
- Fully remote position offering maximum flexibility and work-life integration.
- Paid apprenticeship with a competitive salary and potential for full-time employment.
- Hands-on experience with real-world datasets and advanced analytical tools.
- Mentorship from seasoned data professionals .
- Opportunities for professional development and growth in the field of data analytics.
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