DESCRIPTION:

Amazon's Global Tax Services team seeks an exceptionally capable and motivated individual to help deliver the analytics support to our global analytics products.

The right individual should have in-depth ability to work with or an appetite to work with large data and solid business judgment capable of delivering the right system configurations with a tax and accounting context.

Key job responsibilities
· Perform hands on detailed data research and analysis of a large financial data set; investigate, troubleshoot, and resolve data quality issues.
· Build scalable tech solutions to solve complex tax reconciliation problems
· Influence tech teams and tax stakeholders alike to adopt scalable technologies and products
· Define business requirements for technical development based on analysis of data sets.
· Work with customer teams to identify improvements in efficiency and controllership for their current data processes; teach them how to utilize the designed reporting and functionality in their processes.
· Build and maintain relationships with our key technology providers, as well as, other technical teams across Amazon.
· Explain financial/technical concepts and analysis implications clearly to a wide audience and translate business objectives into actionable analyses.

About the team
Amazon's Global Tax Data team seeks an exceptionally capable and motivated individual to help deliver the analytics support to our global analytics products.
The right individual should have in-depth ability to work with or an appetite to work with big data and solid business judgment capable of delivering the right system configurations with a tax and accounting context.

BASIC QUALIFICATIONS:

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 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
- Experience in tax, finance or a related analytical field

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