National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Business Analyst, GTS- Audit

Amazon
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Business Analyst

Senior Business Analyst - Data focused

Senior Business Analyst (Data & Tech)

Senior Business Analyst (Data & Technology)

Senior Business Analyst (Data & Technology)

Senior Business Analyst (Data & Technology)

Job ID: 2795867 | Amazon Spain Services, S.L.U.

Amazon is seeking a highly motivated Senior Data Analyst to join GTS- Audit team. In this role, you will be driving audit data support requests by understanding the requirements, planning, scoping, executing, and providing data solutions to our business customers. This team sits within Global Tax Services and is seeking an exceptionally capable individual to help deliver Tax Technology support within the Audit team for our Indirect Tax function. This position is based in Barcelona or Bratislava.
Ideally, we are looking for candidates with strong data analytical skills along with Tax experience. This role requires a self-starter with a keen attention to detail and a good track record of meeting deadlines. The successful candidate will have the ability to tackle multiple requests and efficiently execute deliverables. You will use your analytical skills to interpret clearly, analyze quantitatively, problem-solve, scope technical requirements, and prioritize.
Come innovate with the Amazon Global Tax Services Team!

Key job responsibilities

As Senior Business Analyst, you are expected to support Indirect Tax Audits globally and work in support of Audit Readiness. Your responsibilities include:

  1. Supporting the indirect Tax team on Tax audits on a daily basis.
  2. Diving deep into the details to develop meaningful findings and provide required data.
  3. Analyzing and solving problems at their root, understanding the broader context.
  4. Owning end-to-end ‘Audit request’ cases from gathering requirements to solutions, ensuring deliverables within the deadline.
  5. Learning and understanding a broad range of Amazon’s data resources and knowing when, how, and which to use.
  6. Documenting processes, data flows, etc.
  7. Building partnerships with Tax, Finance, and Accounting customers.

BASIC QUALIFICATIONS

• BS degree in Accounting, Business, Data Science, Economics, Finance, Mathematics, or a related field or equivalent experience.
• Substantial experience as a business analyst, data analyst, statistical analysis, or data engineering role within a technology environment.
• Advanced proficiency in SQL, Excel, and any data visualization tools like Tableau or similar BI tools.
• Advanced ability to draw insights from data and clearly communicate them to stakeholders and senior management.
• Proficiency with Alteryx.
• Strong analytical skills – ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis, and draw conclusions relevant to the business problem.
• Demonstrated ability to communicate complex technical problems in simple terms.
• Excellent writing skills – experience in writing business documents, process flows, and building flowcharts.
• Ability to present information professionally and concisely with supporting data.

PREFERRED QUALIFICATIONS

• Experience within Tax/Accounting/Finance.
• Familiarity with APIs, JavaScript, and Python.
• Knowledge of data management and modeling fundamentals and data storage principles.
• Experience with Amazon tools, for example, 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.

Posted:January 31, 2025 (Updated 3 days ago)

Posted:November 22, 2024 (Updated 6 days ago)

Posted:January 22, 2025 (Updated 15 days ago)

Posted:January 22, 2025 (Updated 15 days ago)

Posted:January 20, 2025 (Updated 17 days ago)

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.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.