Business Intelligence Engineer, Accounting

We are looking for a highly analytical Business Intelligence Engineer to join Amazon's Global Accounting Business Intelligence and Analytics team.

The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with accountants and financial analysts supporting the various businesses and industries Amazon operates in.

The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies.

• Collaboration and partnership with Accounting and software development teams driving enterprise level projects
• Contributing to the design, development, and maintenance of multiple scalable solutions supporting internal/external global stakeholders
• Coordinating project prioritization with multiple stakeholders, managing and executing competing priorities from end to end within defined timelines
• Supporting the global accounting organization with various ad-hoc reporting, analyses, and data processing needs
• Integrating AI capabilities into business intelligence operations, identifying opportunities to leverage AI for enhanced insights, optimization, and operational efficiency

• Analyzing and interpreting data with Redshift, Oracle, No
  
  SQL etc.
• Data visualization using Tableau, Quicksight, or similar tools
• Working with industry analytics visualization tools (e.g. Excel, Tableau, Quick Sight, Micro Strategy, Power
  
  BI) and statistical methods (e.g. t-test, Chi-squared)
• SQL
• Experience in the data/BI space

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Statistical analysis, co-relation analysis
• Scripting language experience (e.g., Python, Java, or R)

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