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Are you interested in helping shape Amazon's growth story in Australia? We are looking for a high caliber finance professional who can develop drive our financial analysis and insights to the next level. The ideal candidate will have a passion for building analytical models and using their financial and business acumen to help drive the business forward. They will partner with commercial teams and support long-term growth by providing insightful ad-hoc analysis to build product selection, supporting negotiations, and building business cases to assess new opportunities or investments. The successful candidate will be a self-starter who is comfortable with ambiguity, is analytical, detail oriented and will possess the ability to work well with cross-functional teams across Amazon.
Key job responsibilities
- Drive cost to serve initiatives both domestically and internationally with a view to improve long term free cash flow.
- Independently drive deep dive analyses into product selection and sourcing performance to generate insights.
- Analyze performance for the business on a weekly, monthly, quarterly basis to understand drivers of performance. Synthesize findings for leadership.
- Drive ad-hoc analysis and support commercial teams to improve business performance.
- Build business cases for any new opportunities, such as new programs, new categories or incremental strategic investments.
- Implement reporting to ensure free cash flow initiatives are accurately tracked and delivering results.
We are open to hiring candidates to work out of one of the following locations:
Sydney, NSW, AUS
BASIC QUALIFICATIONS
- 4+ years of applying key financial performance indicators (KPIs) to analyses experience
- 4+ years of creating process improvements with automation and analysis experience
- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
- 4+ years of finance or a related analytical field experience
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
- Experience with advanced use of SQL for data mining and business intelligence
PREFERRED QUALIFICATIONS
- MBA, or CPA
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.
