AI & Analytics Data Analyst Intern (Graduate)

Company : Bidvest

Johannesburg

On-site

ZAR 100,000 - 145,000

Part time

14 days+

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Job summary

Bidvest invites applications for its Graduate Programme as a Data Analyst. The role focuses on Power BI reporting, data analysis, and analytics workflow management within a dynamic logistics environment.

Ideal candidates are recent graduates or final-year students with degrees in IT or related fields and strong academic performance. The programme offers hands-on experience with Fabric, data pipelines, and self-service analytics adoption.

Qualifications

  • Bachelor's Degree, BSc, BCom, Diploma, or Advanced Diploma in Computer Science, Software Development, Computer Engineering or related IT qualification.
  • Recent graduate or final-year student
  • Good academic performance advantageous
  • Relevant Microsoft or technology-related certifications advantageous

Responsibilities

  • Monitor and validate scheduled Power BI report refreshes.
  • Assist in administration, maintenance, and monitoring of Microsoft Fabric workspaces, semantic models, dataflows, and data pipelines.
  • Support testing and validation of datasets, semantic models, reports and dataflows.
  • Develop and maintain reports, dashboards and analytical outputs.
  • Assist users with report navigation, interpretation, and adoption of self-service analytics solutions.
  • Analyse data to identify trends, patterns, anomalies and actionable insights.
  • Develop effective prompts for Microsoft Copilot to support reporting, analysis, documentation, troubleshooting and research activities.

Skills

Power BI
Data analysis
Microsoft Fabric
Copilot prompts

Education

Bachelor's degree in Computer Science / IT
Recent graduate or final-year student
Good academic performance

Tools

Power BI
Microsoft Fabric

Job description

Bidvest invites applications for its Graduate Programme as a Data Analyst. The role focuses on Power BI reporting, data analysis, and analytics workflow management within a dynamic logistics environment.

Ideal candidates are recent graduates or final-year students with degrees in IT or related fields and strong academic performance. The programme offers hands-on experience with Fabric, data pipelines, and self-service analytics adoption.

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