• Analyse large volumes of data to identify trends, patterns, risks, opportunities, and actionable business insights.
• Collect, clean, structure, and consolidate data from multiple sources to support analysis, reporting, and decision-making.
• Develop and maintain custom reports, dashboards, and data visualisations based on business and management requirements.
• Proactively identify opportunities for new insights, reporting metrics, and analytical improvements from existing datasets.
• Support the development, maintenance, and enhancement of reports and dashboards using Microsoft Power BI and other reporting tools.
• Collaborate with stakeholders to understand reporting and data requirements and translate them into practical analytical solutions and AI-enabled workflows.
• Provide guidance and support to employees on the effective use of approved AI tools, including ChatGPT Business, Microsoft 365 Copilot, Claude, and related technologies.
• Identify and implement practical AI and data analysis use cases that improve productivity, operational efficiency, and decision-making.
• Design, develop, and deliver training materials, user guides, and workshops focused on AI, data analysis, reporting tools, and responsible technology use.
• Act as the first point of contact for AI, reporting, and data-related queries, providing troubleshooting and user support across the organisation.
• Promote compliance with AI governance policies, data privacy legislation, data handling standards, and responsible AI usage guidelines.
• Assist with scripting, workflow automation, prompt engineering, and process improvements to streamline repetitive administrative and reporting tasks.
• Monitor AI adoption, reporting utilisation, and organisational data-analysis needs, identifying gaps, opportunities, and return-on-investment outcomes.
• Stay informed of emerging AI technologies, data-analysis methodologies, reporting tools, and industry best practices, and share relevant insights with stakeholders

Qualifications and Experience:

• Grade 12 with a relevant tertiary qualification in Information Technology, Information Systems, Data Analytics, Business Analytics, Computer Science, or a related field
• 2–5 years’ experience in a data analysis, reporting, IT support, digital enablement, business intelligence, or technology training role
• Hands-on experience working with data, including cleaning, analysing, interpreting, and presenting information in a practical business context
• Strong working knowledge of Microsoft Excel, including formulas, pivot tables, data cleaning, and basic analysis functions
• Experience with Microsoft Power BI for reporting and dashboarding (advantageous)
• Hands-on experience with AI tools such as ChatGPT, Microsoft 365 Copilot, or Claude (advantageous)
• Good working knowledge of Microsoft 365 (Word, Excel, Outlook, Teams, SharePoint)
• Basic understanding of coding, scripting, automation, or data processing concepts (e.g. Python basics, Power Automate, prompt engineering, or similar tools) — software development experience not required
• Ability to work with data from multiple systems and sources, identify inconsistencies, and prepare data for reporting or analysis
• Understanding of data privacy principles and POPIA compliance, particularly in relation to AI tools, data handling, and reporting
• Experience in agriculture, the wine industry, membership organisations, or similar SME environments (advantageous)