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In office (Cape Town)
Seniority
Intern
Employment
Internship

First seen by Alion on Nov 11, 2026.

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SUMMARY:
Graduate Data Analyst InternIndustry: Automotive / Corporate Head Office
Employment Type: Internship
Job PurposeAn exciting opportunity is available for a technology-driven and analytical graduate to join a dynamic corporate environment as a Graduate Data Analyst Intern.
The successful candidate will assist with collecting, analysing, interpreting and reporting on business data across various departments. This position is ideal for a recent graduate with a passion for data, technology and analytics who is eager to gain practical experience and develop a career in data analysis.
Key Responsibilities

  • Collect, organise and analyse data from various business departments.
  • Assist with developing and maintaining reports and dashboards.
  • Identify trends, patterns and inconsistencies in datasets.
  • Compile weekly and monthly performance reports.
  • Interpret data and present findings to management.
  • Monitor business performance through data analysis.
  • Assist with improving data accuracy and reporting processes.
  • Work with spreadsheets, databases and analytical tools.
  • Identify opportunities for automation and improved reporting efficiency.
  • Provide analytical support to different departments.
  • Assist with ad hoc data-related projects.


POSITION INFO:
Minimum Requirements

  • Matric certificate.
  • Relevant tertiary qualification in Data Analytics, Information Technology, Computer Science, Statistics, Mathematics, Business Analytics or a related field.
  • Recent graduate or candidate with limited working experience.
  • Strong interest in technology, data and digital solutions.
  • Good computer literacy, particularly Microsoft Excel.
Advantageous Technical Skills
  • Advanced Microsoft Excel.
  • Power BI.
  • SQL and database management.
  • Python or other programming languages.
  • Data visualisation and reporting tools.
  • Knowledge of AI tools and automation.
Skills and Competencies
  • Strong analytical and numerical abilities.
  • Excellent attention to detail.
  • Logical and critical thinking.
  • Strong problem-solving skills.
  • Good communication and presentation skills.
  • Technologically inclined with a passion for learning.
  • Strong organisational and time-management skills.
  • Ability to work independently and as part of a team.


 

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