Senior Business Analyst, Global Tax Services

Amazon UK
London
1 week ago
Create job alert

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.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Business Analyst

Business Analyst, Global Security Organization (GSO)

Data Analyst, European Derivatives

Senior Data Engineer

Business Intelligence Analyst

Senior Consultant - Business Intelligence Specialist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Careers

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

Jobs Careers

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.