Data Analyst, Global Tax Services
Babu Energy
Work from Office
Full Time
Min. 2 yearsJob Description
Data Analyst, Global Tax Services
Description
Amazon is a fast paced, dynamic, high-tech company based in Seattle. 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
· 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
· Ability to explain financial/technical concepts and analysis implications clearly to a wide audience, and be able to translate business objectives into actionable analyses.
About the team
We are a fast growing team supporting Corporate Tax function. We seek candidates who are eager and able to learn new content quickly, who are willing to go into unfamiliar territory, and who possess ironclad judgment and integrity around confidential information.
Basic Qualifications
- 2+ years of tax, finance or a related analytical field experience
- 4+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Bachelor's degree or equivalent
- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- Experience with Excel
- Experience with SQL
Preferred Qualifications
- Master's degree in computer science, engineering, mathematics or equivalent
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