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Apprentice Data Analyst
Remote / Online - Candidates ideally in
Gqeberha, Port Elizabeth, 6000, South Africa
Listed on 2026-10-18
Gqeberha, Port Elizabeth, 6000, South Africa
Listing for:
Placements24
Apprenticeship/Internship, Remote/Work from Home
position Listed on 2026-10-18
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
About the Role
Our client is seeking bright and analytical minds to join their team as Apprentice Data Analysts , operating entirely remotely . This role offers a unique opportunity to enter the exciting field of data science and analytics, working with complex datasets to derive actionable insights. You will learn to collect, clean, analyze, and visualize data, supporting key business decisions and strategies.
This is a fantastic entry-level position for individuals who are curious, detail-oriented, and eager to develop their skills in data manipulation and interpretation within a collaborative, fully remote work environment, contributing valuable information to drive business growth.
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis to identify trends, patterns, and insights, using statistical methods.
- Create clear and informative data visualizations, such as charts and graphs, to present findings.
- Support senior analysts in preparing reports and presentations for stakeholders.
- Learn and utilize data analysis tools and programming languages like SQL, Python, or R.
- Collaborate with remote team members to understand data requirements and project goals.
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data manipulation tools or a strong desire to learn.
- Excellent analytical and problem-solving abilities.
- Strong attention to detail and accuracy.
- Effective communication skills for remote collaboration and reporting.
- Comprehensive training in data analysis techniques and tools.
- Competitive starting salary with opportunities for career progression.
- Remote work flexibility, allowing for a balanced work-life integration.
- Exposure to diverse datasets and real-world business challenges.
- Mentorship from experienced data professionals.
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