Data Analyst Trainee: Paid Training & Mentorship (Durban)

Placements24; Durban; On-site; ZAR 180,000 - 240,000; Full time

Benefits offered by this job

Paid training

Mentorship

Exposure to data tools

Real business challenges

Potential for future employment

Job summary

Placements24 in Durban is seeking a motivated Data Analyst Trainee to join its analytics team. You will learn to collect, clean, analyze, and interpret data, turning raw information into insights that inform business decisions.

This learning program provides hands-on experience with reporting, visualization, and basic statistics under the guidance of experienced mentors. Ideal candidates have a degree in Statistics, Mathematics, Economics, or Computer Science, strong Excel or Google Sheets

Qualifications

• Demonstrable interest in data analysis and statistics.
• Proficiency in Microsoft Excel or Google Sheets.
• Strong analytical and problem-solving skills.
• Good verbal and written communication abilities.

Responsibilities

• Assist in collecting and cleaning data from various sources.
• Perform basic data analysis using spreadsheets and data analysis tools.
• Help create reports and data visualizations to communicate findings.
• Learn and apply fundamental statistical concepts to data interpretation.
• Support senior analysts in data-related projects and tasks.
• Maintain data integrity and accuracy throughout analysis processes.

Skills

Excel

Google Sheets

Analytical thinking

Communication

Education

Bachelor's degree in Statistics / Mathematics / Economics / Computer Science

Tools

Data visualization tools

Job description

Placements24 in Durban is seeking a motivated Data Analyst Trainee to join its analytics team. You will learn to collect, clean, analyze, and interpret data, turning raw information into insights that inform business decisions.

This learning program provides hands-on experience with reporting, visualization, and basic statistics under the guidance of experienced mentors. Ideal candidates have a degree in Statistics, Mathematics, Economics, or Computer Science, strong Excel or Google Sheets