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Amazon
At Amazon, we're working to be the world’s most customer-centric company. Driving innovation on behalf of customers is core to our mission. This is an exciting opportunity to join one of the most strategic, impactful, and fastest growing areas within Amazon.
The FinOps Analyst will be responsible for service delivery of our Accounts Payable/Receivable functions for a specific geo / country and will partner with a diverse set of stakeholders within the Finance Shared Service Organization as well as the business. A key responsibility will be to deliver existing services at a high degree of accuracy, timeliness and controllership, besides supporting the growth in business.
This role requires one to be a self-starter with strong business modeling skills, keen attention to detail and good track record of collaborating with diverse stakeholders. This role has regular interaction with senior leadership and stakeholders across Amazon and requires strong verbal and written communication skills. The candidate will need to be capable of operating with a high degree of autonomy and hence needs to demonstrate a high degree of comfort with ambiguity besides holding a high bar on performance.
Key job responsibilities
Management responsibilities
1. Performs autonomously, initiates and manages complex, departmental and/or cross- company work.
2. Managing workload and establishing priorities.
3. Is expected to set and improve policies and procedures, maintaining full compliance, implementing best practices.
4. Focus is broad, will serve as a consultant on projects and areas of finance or support of a business.
5. This position will also act as an escalation point in resolving complex outstanding issues with internal and external business partners.- Bachelor's degree in finance, accounting or related field
- 1-2 years of Accounts Payable/Receivable (AP/AR)
- 1+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
- Experience using data to analyze problems
- Experience demonstrating problem solving and root cause analysis
- Knowledge of Lean
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