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

Basic Qualifications

• 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

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.