Business Intelligence Engineer, SCOT AIM - AU
Amazon - Sydney, New South Wales, AUS
Posted Apr 6, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Business Intelligence Engineer, SCOT AIM - AU Sydney, New South Wales, AUS Amazon'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) 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 optimise our local supply chain at scale. Key job responsibilities - Architect Local Foundations: Design and develop end-to-end analytics solutions (ETL, data modelling, 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 processes that impact inbound volumes, and build scalable, AWS-native solutions to fix them. - Influence Strategy: Spot trends across product demand forecasting accuracies, inventory efficiency and capacity planning, providing data-driven evidence needed to influence inbound volume projections
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