Remote Junior Data Analyst Apprenticeship with Mentorship

Placements24; Gqeberha; Hybrid; ZAR 67,000 - 134,000; Part time

Benefits offered by this job

Fully paid apprenticeship

Mentorship from experienced analysts

Remote training and real datasets

Career progression opportunities

Online learning resources

Job summary

Placements24 is partnering with a pioneering data analytics firm to offer a fully remote Junior Data Analyst Apprenticeship in South Africa. You will receive comprehensive remote training, learn data collection, cleaning, analysis, and visualization, and work on real-world datasets from anywhere in SA.

Ideal candidates have a strong numerical aptitude, basic statistics, and comfort with Excel. This role emphasizes self-motivation, remote collaboration, and opportunities to progress into a data

Qualifications

• Basic understanding of statistics.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) at an intermediate level.
• Matriculation certificate or equivalent qualification.

Responsibilities

• Assist in collecting, cleaning, and transforming data from various sources using defined procedures.
• Perform basic data analysis to identify trends, patterns, and anomalies under supervision.
• Create reports and dashboards using data visualization tools to present findings effectively.
• Support senior analysts in developing insights and recommendations based on data analysis.
• Learn and apply SQL for data extraction and manipulation.
• Collaborate with team members on data-related projects and tasks in a remote setting.
• Contribute to the maintenance and organization of data repositories.
• Assist in ad-hoc data requests and analysis as needed.
• Participate in training sessions and workshops to enhance analytical skills.
• Document data sources, methodologies, and findings clearly.

Job description

Placements24 is partnering with a pioneering data analytics firm to offer a fully remote Junior Data Analyst Apprenticeship in South Africa. You will receive comprehensive remote training, learn data collection, cleaning, analysis, and visualization, and work on real-world datasets from anywhere in SA.

Ideal candidates have a strong numerical aptitude, basic statistics, and comfort with Excel. This role emphasizes self-motivation, remote collaboration, and opportunities to progress into a data