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Senior Business Analyst, Global Tax Services

Amazon UK
London
3 months ago
Applications closed

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This position can be office based from London, Barcelona or Bratislava.


Amazon is seeking a highly motivated Senior Data Analyst to join our Global Tax Services team focused on audit. In this role you will be driving audit data support requests coming our way by understanding the requirements, planning, scoping, executing and providing data solution to our business customers.


We are looking for candidates who have strong data analytical skills along with tax experience.


The successful candidate will use their analytical skills and demonstrate their ability to interpret clearly, analyse quantitatively, problem-solve, scope technical requirements and prioritize.


Come and innovate with the Amazon Global Tax Services Team!


Key job responsibilities

As Senior Business Analyst your responsibilities would include:

  1. Supporting the indirect tax team on tax audit
  2. Diving deep into the details to develop meaningful findings and provide required data
  3. Analyse and solve problems at their root, stepping back to understand the broader context
  4. Own end to end 'Audit request' cases from gathering requirements to solutions ensuring deliverables within the deadline
  5. Learn and understand a broad range of Amazon's data resources and know when, how, and which to use
  6. Document processes and data flows
  7. Build partnership with Tax, Finance and Accounting customers


BASIC QUALIFICATIONS

  1. BS degree in Accounting, Business, Data Science, Economics, Finance, Mathematics, a related field or equivalent experience
  2. Substantial experience as a business analyst, data analyst, statistical analysis or data engineering role within a technology environment
  3. Advanced proficiency in SQL, Excel as well as any data visualization tools like Tableau or similar BI tools
  4. Proficiency with Alteryx


PREFERRED QUALIFICATIONS

  1. Experience within Tax/Accounting/Finance
  2. Familiarity with API's, Javascript, Python
  3. Knowledge of data management, modelling fundamentals & data storage principles
  4. Amazon tools; for example experience on AWS


Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.


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.


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.

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National AI Awards 2025

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