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- 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)- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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