Sr. Tax Data Analyst, Global Tax Services - Arlington, United States - Amazon
Description
Join Amazons Tax Team as a Sr. Tax Data Analyst for Mexico compliance.
Are you a dynamic Data Analyst with a passion for tax technology? Amazon's Global Tax Services Team is seeking an enthusiastic individual eager to navigate new territories, learn rapidly, and handle confidential information with the utmost integrity.
You're the ideal fit if you possess a blend of data proficiency, solution design skills, and a solid grasp of tax or accounting principles. Your ability to make informed judgments and adapt in a fast-paced environment sets you apart. As a self-starter, you excel in driving initiatives and thrive in a results-driven setting.
Key job responsibilities
In this role, you'll have a diverse range of responsibilities, including:
Design and Delivery: Contribute to the design and implementation of scalable tax technology solutions
Data Analysis: Conduct in-depth research and analysis of tax reporting data for specific tax jurisdictions, addressing data quality issues, and defining functional requirements for technical development.
Process Improvement: Collaborate with tax teams to enhance efficiency and controller-ship in current processes, educating them on data acquisition for reporting, planning, and controller-ship.
Collaboration: Work closely with cross-functional teams, fostering relationships with the tax, business and engineering teams across Amazon.
Metrics Development: Support the creation of new metrics to quantify the value of various aspects of tax data.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Seattle, WA, USA
Basic Qualifications
Knowledge of at least one data-focused technology tool, such as Python, SQL, Alteryx, Amazon QuickSight, or similar
Bachelor's degree
Bachelors degree in Information Systems, Computer Science, Accounting, Mathematics, or equivalent experience.
4+ years experience in data analysis, system design, business analysis, tax, accounting, or related fields.
Advanced proficiency in SQL for database querying and comprehension of dataset relationships across systems.
Preferred Qualifications
Knowledge of accounting principles, processes, and entries
Experience in large-scale tax or accounting business processes and data flows.
Proficiency in managing large datasets, data reconciliation, and investigation.
Understanding of indirect tax legislation specifically for Latin America, Mexico and Brazil, is a plus.
Fundamental knowledge of Python
Strong grasp of cloud concepts (AWS certification is advantageous but not mandatory)
Proficiency in developing data visualizations using tools like Tableau, AWS QuickSight, Power BI, etc.
Ability to articulate technical concepts clearly to diverse audiences and translate business objectives into actionable analyses.
Prior exposure to revenue accounting and indirect taxes across multiple geographies.
Familiarity with data modeling and large-scale data warehouses.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $54,600/year in our lowest geographic market up to $123,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit Applicants should apply via our internal or external career site.