Responsibilities
- Design and maintain enterprise-scale Power BI semantic models integrating multiple data warehouses
- Develop scalable data models enabling self-service analytics and automated insight generation
- Establish modelling standards including conformed dimensions, naming conventions and reusable logic
- Perform deep data profiling, reconciliation and validation across operational systems
- Develop highly optimised SQL for large datasets
- Build governed Power BI datasets and guided analytics solutions
- Design visualisations highlighting trends, anomalies and behavioural patterns
- Implement advanced calculations and analytical measures
- Shift reporting from descriptive outputs to decision-support tools
- Surface emerging risks and operational performance deviations
- Apply AI-enabled analytics features (predictive forecasting, clustering, AI visuals)
- Interpret and validate AI-driven outputs in a business context
- Identify automation opportunities including RPA and AI-assisted workflows
- Monitor and validate advanced analytics models for accuracy and reliability
- Partner with global stakeholders to translate operational needs into analytical solutions
- Present data-driven recommendations influencing operational and strategic decisions
- Promote a data-driven culture across supply chain teams
- Balance technical feasibility, business practicality and data integrity
- Identify inefficiencies and design improved workflows
- Evolve BI platforms for performance and usability
- Lead improvement initiatives and support operational planning
Requirements
- Tertiary qualification in Business, Commerce, Economics, Supply Chain or related discipline
- Strong experience with Power BI data modelling and report development
- Advanced SQL capability across large datasets
- Strong understanding of ERP and supply chain systems
- Experience applying AI-enabled analytics or machine learning techniques to business problems
- Experience with AI-assisted analytics tools (e.g. Power BI AI features, Microsoft Copilot)
- Ability to validate, interpret and monitor AI-generated insights responsibly
- Experience implementing automation solutions within supply chain processes
- Demonstrated ability to translate data into actionable commercial insights
Benefits
- Safety first environment and mindset
- Flexible work options
- Competitive Total Reward Packages
- Global and local recognition programs
- Paid Parental Leave
- Learning and Development focus
- Education assistance
- EAP for you and your family
- Community Involvement program
Additional Information
- Prior to commencing employment, candidates will be required to complete a psychometric assessment, and a pre-employment medical examination, which includes drug and alcohol testing.
- The closing date for applications is March 15, 2026.
