Business Intelligence Engineer, SCOT AIM - AU
Amazon · Sydney, Australia · Business Intelligence
About this role
Amazon is hiring a mid-level Analytics Engineer in the data engineering function based in Sydney, Australia. The posting calls out experience with Python, SQL, AWS, DynamoDB.
- Role
- Analytics Engineer
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Sydney, Australia
- Department
- Business Intelligence
- Posted
- Apr 6, 2026
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Job description
from Amazon careersAmazon’s operations in Australia is at a unique phase of rapid expansion. As our selection and local fulfilment network grows, the complexity of managing supply chain increases. To systemically address these complexities, we are establishing a team of subject matter experts by expanding Supply Chain Optimisation Technology (SCOT) AIM team presence to Australia. We are looking for an exceptional Business Intelligence Engineer to join this specialised team and help build the analytical foundations that allow us to automate and optimize our local supply chain at scale. Key job responsibilities - Architect Local Foundations: Design and develop end-to-end analytics solutions (ETL, data modeling, and warehousing) tailored to the unique challenges of the Australian supply chain. - Drive Automation: Create automated reporting and interactive QuickSight dashboards that replace manual processes and allow stakeholders to deep-dive into performance metrics like defect attributions, plan over plan changes, actuals over plan defects etc. - Enable Scalability: Partner with Data Engineers Scientists to build the data pipelines required for predictive models, directly impacting how we handle forecasting for inbounds volumes. Leverage Agentic workflows to build custom models for inbound predictions. - Process Innovation: Identify "defects" in our current workflows across upstream planning execution systems and manual…