The application deadline was 31 August 2026.
Bidvest International Logistics is recruiting a Graduate Data Analyst focused on AI and Analytics for its Information Office in Greenstone, Gauteng. The Bidvest International Logistics Internship 2026 is part of the company’s graduate programme and is designed for recent graduates or final-year students from Computer Science, Software Development, Computer Engineering and related IT fields. The placement focuses on modern analytics tools, Microsoft Fabric, Power BI, Microsoft Copilot and approved AI technologies. The graduate will help monitor data platforms, develop reports and dashboards, validate datasets and support the use of AI and automation for better business reporting and decision-making.
Graduate Programme Overview
- Company: Bidvest International Logistics
- Position: Graduate Data Analyst (AI and Analytics)
- Department: Information Office
- Location: Greenstone, Gauteng
- Job Type: Internship / Graduate Programme
- Reference: BIL260811-1
- Closing Date: 31 August 2026
Data and Analytics Responsibilities
- Monitor and validate scheduled Power BI report refreshes.
- Assist with Microsoft Fabric workspaces, semantic models, dataflows and pipelines.
- Test and validate datasets, reports and analytical outputs.
- Develop and maintain reports and dashboards.
- Help users navigate and interpret self-service analytics solutions.
- Analyse data for trends, patterns and anomalies.
- Use Microsoft Copilot and approved AI tools to support analysis and documentation.
- Identify opportunities to automate repetitive reporting and data-preparation tasks.
Qualification Requirements
Applicants need Grade 12 together with a Bachelor’s Degree, BSc, BCom, Diploma or Advanced Diploma in Computer Science, Software Development, Computer Engineering or a related IT qualification. The role is open to recent graduates and final-year students, and a strong academic record is advantageous. Relevant Microsoft or technology certifications can also strengthen an application.
Technical Knowledge
The vacancy asks for a basic understanding of SQL, including SELECT statements, joins, filtering, aggregations and query troubleshooting. Exposure to Power BI is expected, while Microsoft Fabric experience is advantageous. The role also values familiarity with Microsoft 365 and Microsoft Copilot because the graduate will work in an environment where AI-assisted analytics and automation are being used to improve productivity.
AI and Automation Exposure
A distinctive part of the programme is the use of AI in practical business analytics. The graduate will develop prompts for Microsoft Copilot, review AI-generated outputs for accuracy and business relevance and use approved tools to support reporting, research, troubleshooting and documentation. The work therefore combines traditional data-analysis skills with newer AI-assisted workflows.
Skills and Competencies
- Analytical and logical thinking
- Attention to data accuracy
- Data visualisation and reporting
- Basic troubleshooting
- Strong learning agility
- Written and verbal communication
- Ability to explain technical information to non-technical users
- Interest in AI, automation and emerging technology
Microsoft Fabric and Reporting Exposure
The Information Office uses Microsoft technologies to manage reporting and analytical workloads. The graduate will assist with Fabric workspaces, semantic models, dataflows and data pipelines, which provides exposure to the components used to move, organise and present business data. The role also includes checking scheduled Power BI refreshes so that reports remain current and users can rely on the information being presented.
Validating AI-Assisted Work
The vacancy does not treat AI output as automatically correct. The graduate is expected to evaluate AI-generated information for accuracy, quality and business relevance. This is an important part of the programme because it combines prompt development with analytical judgement. The learner can build experience using Copilot productively while still checking whether the final output is supported by the underlying data and appropriate for business use.
How to Apply
Applications are submitted through the official Bidvest International Logistics eRecruit portal. Use reference BIL260811-1 when opening the graduate Data Analyst vacancy.
Apply for the Bidvest International Logistics Graduate Data Analyst Programme