Financial Analyst I, FinOps-AR Operational Readiness

Amazon FinOps GAR Assurance Team
Amazon FinOps is looking for a Business Analyst to be part of the GAR Assurance Team. As Finance Business Analyst at Amazon you will have the opportunity to work on some of the largest data sets and help build data-driven operational strategies to adapt and be successful in ever-changing business environments.


Key job responsibilities
Develop strategies to improve accuracy and timeliness of revenue management to ensure billing assurance
Developing internal finance controls based on industry best practices
Support revenue recognition policies and revenue generation standards
Lead projects to address key cross-functional issues spanning financial operations and vendor management
Deliver financial savings through process improvement and automation initiatives
Design and implement mechanisms to improve Operational Excellence culture
Translate business problems into efficient scalable solutions using AWS services and data tools
Identify improvement opportunities through cross-team collaboration and brainstorming


- Bachelors degree in computer science engineering mathematics or equivalent or Bachelors degree in business administration finance economics computer science data science engineering or other related field
- Overall 6 years experience with 4 years of relevant experience in a business analyst/data analyst role
- Proficiency in AWS services such as S3 Lambda SES Step Functions DynamoDB and Redshift
- Proficiency in Amazon Quick Suite and Athena for data analysis and reporting
- Strong SQL skills for data querying and analysis
- Proficient with Advanced Excel
- Experience handling large datasets summarizing data into metrics and generating actionable insights
- Strong analytical problem-solving and critical thinking skills with attention to detail

- 2 years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- Experience in TM1 Data Warehouse and SQL
- Knowledge of Python or R or other scripting language
- Masters degree in Finance Statistics Business Analytics or related discipline
- 4 years of relevant data analysis and project management experience
- Basic understanding of how IAM works
- Basic understanding of AI models and their capabilities
- Ability to translate business problems into efficient technical solutions
- Able to work with financial analyses assess and mitigate risk and forecast both long and short-term outcomes in a complex business environment
- Great organizational skills with exceptional follow through and attention to detail
- Ability to present and clearly communicate complex data analyses and findings to non-technical stakeholders

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