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.
Key Job Responsibilities
* 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
Experience
* Analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
* Data visualization using Tableau, Quicksight, or similar tools
* Working with industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
* SQL
* Experience in the data/BI space
Preferred Qualifications
* 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)
Equal Employment Opportunity
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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