Senior Finance Data Analyst
Amazon - Sydney, New South Wales, AUS
Posted Feb 11, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Finance Data Analyst Sydney, New South Wales, AUS Amazon Australia is shaping how customers shop and buy online in Australia. If you're excited about making history, we have an unique opportunity to join our Sydney-based team as a Finance Data Analyst for our Amazon Retail Finance team. In this role, you'll contribute to building better reporting tools and dashboards that help our finance team work more efficiently. You will utilise your experience with business intelligence platforms, automation tools, and have the opportunity to learn about emerging AI technologies in a fast-paced retail environment. In this newly created role, you will be responsible for building the data and reporting foundation that will enable the team to become exceptional business partners, by reducing hours spent on data controllership and reporting. the Senior Finance Data Analyst will play a key role in transitioning our finance reporting to best in class through automation, centralized reporting, and integration with worldwide AI and automation initiatives. The successful candidate will combine strong business intelligence and data engineering capabilities with retail or commercial finance expertise. You're able to work independently on complex problems, demonstrate curiosity, enjoy business partnering, and ability to influence stakeholders through data-driven solutions. _________________________ Amazon offers employees a competitive remuneration package and participation in the company stock plan as applicable. We also look after our people with benefits, such as subsidized private health insurance, superannuation and paid parental leave options, and learning opportunity to gain exposure to Machine Learning models, AI tools and global
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