Description 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 About the team Who We Are: The ATEAM (Accounting, Tools, Entities, Automation, and Management Reporting) Technology team is a dedicated group of program managers and technical resources in accounting who will identify manual effort reduction (MER) opportunities for operational accountants that includes the repetitive and mundane activities. In addition we help to facilitate process improvement workshops, document automation use cases, build, launch and manage the automations. What We Do: Identify manual effort reduction (MER) opportunities Facilitate process improvement workshops Document automation use cases Build, launch, and manage automations Basic Qualifications - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis

About Amazon Web Services (AWS)

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.