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Graduate Trainee - Data Analyst

Job in Benoni, 1501, South Africa
Listing for: Placements24
Apprenticeship/Internship position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager, Data Scientist
Job Description & How to Apply Below
Location: Benoni

About the Role

Our client is seeking a bright and inquisitive Graduate Trainee - Data Analyst to join their expanding analytics division in Benoni . This role provides a unique chance for recent graduates to develop their skills in data interpretation, visualization, and reporting. You will work with diverse datasets, extract meaningful insights, and present findings to stakeholders, supporting data-driven decision-making across the organization.

This is an exciting opportunity to kick-start a career in data analytics within a supportive team committed to fostering professional growth and innovation.

Key Responsibilities
  • Collect, clean, and organize data from various sources.
  • Perform data analysis to identify trends, patterns, and insights.
  • Create reports and dashboards to visualize data and communicate findings effectively.
  • Assist in developing data models and conducting statistical analysis.
  • Collaborate with other departments to understand their data needs and provide analytical support.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Strong analytical and critical thinking skills.
  • Proficiency in data analysis tools such as Excel, SQL, or Python/R is advantageous.
  • Excellent attention to detail and accuracy in data handling.
  • Good communication skills, with the ability to explain technical findings to non-technical audiences.
Benefits
  • Competitive graduate salary and opportunities for performance-based incentives.
  • Comprehensive training in data analysis techniques and tools.
  • Mentorship from experienced data professionals in Benoni .
  • Exposure to a wide range of data challenges and business problems.
  • A collaborative and data-centric work culture.
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