Job
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 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 - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
