Analyst – Supply
Supply Chain
Mount Isa, TSV, BNE - Queensland, Australia
Reference 104012
Mount Isa Mines is currently advertising for a Supply Analyst.
Mount Isa
For 100 years, Mount Isa has been a thriving city, acting as the hub for regional business, transport, services and government in North West Queensland. The city offers an array of leisure activities, from dining and cinema to outdoor adventures like fishing and camping. With Mount Isa Mines, you get the best of both worlds – a thriving career and a fulfilling lifestyle.
Mount Isa Mines
Mount Isa Mines is one of the world's largest mining complexes. Comprising of underground mining, mineral processing and smeltingoperations, power generation, and support and administrative services, to deliver natural resources of enduring value in modern society.
At Mount Isa Mines, we believe in our people. We cultivate an environment of professionalism, ownership, and innovation while prioritizing safety and well-being. Our employee rewards program, market-leading superannuation, and commitment to professional development set us apart. Learn more about Mount Isa Mines at www.mountisamines.com.au
The Role
We are seeking a highly analytical Supply Analyst with strong statistical capability, forecasting skills, and reporting expertise. Reporting to the Inventory Superintendent / Supply Superintendent, you will play a key role in improving supply chain reliability, inventory optimisation, and bulk commodities planning.
A critical part of this role is the ability to transform complex data into clear, actionable insights through high-quality reporting tools such as Power BI, SAP-based reporting, and other data analysis platforms. This role is ideal for someone who enjoys deep diving into data, building models, and driving meaningful supply chain improvements.
Your key responsibilities include:
- Develop and maintain statistical forecasting models for materials, consumables, and bulk commodities
- Manage demand forecasting cycles by analysing consumption trends, seasonality, operational events, and variability
- Lead planning and optimisation for bulk commodities, including usage prediction, replenishment planning, and monitoring delivery performance
- Develop high-quality Power BI dashboards and automated reporting that communicate supply performance and trigger early warnings
- Produce actionable reports—not only data—providing insights that support operational and leadership decision-making
- Extract, clean, and analyse data from multiple systems (SAP and other databases/reporting platforms
- Create data models and datasets to support continuous analysis and forecasting
- Monitor stock levels daily and escalate risks early (expediting, parameter changes, stock transfers)
- Optimise SAP MRP parameters (safety stock, ROP/Max, MOQ/EOQ, lead time, procurement type)
- Conduct deep-dive investigations into stock-outs, slow movers, overstock, obsolete stock, and demand anomalies
- Support Material Master data accuracy (UoM, lead time, MRP type, lot size, storage locations)
- Collaborate with Procurement, Maintenance Planning, Warehousing, Inventory Controllers, and Commercial teams
- Contribute to improvement initiatives, Trigger Action Plans, audits, and digital optimisation projects
The successful applicants will have:
- Strong analytical and statistical skills
- Experience building or maintaining forecasting models (time-series, regression, variation analysis, or similar methods)
- Advanced Power BI capability (data modelling, visualisation, DAX, interactive dashboards)
- Experience using data extraction and reporting tools across various databases or platforms
- Strong Excel capability (Power Query, pivot tables, advanced formulas, modelling)
- SAP MM experience, including MRP analysis, Material Master review, and stock reporting
- Understanding of core supply chain principles: safety stock, ROP/Max, EOQ/MOQ, lead time variability, demand cycles
- Ability to interpret large datasets and convert findings into actionable insights
- Clear communication and stakeholder engagement skills
- Experience in mining or heavy industry (advantageous)
- Proactive, improvement-focused, and comfortable working with complex data
We thank you for taking the time to submit your application.
Applications Close: 19 March 2026
