Data Analyst Tax, Global Tax Services

Amazon
London
4 days ago
Create job alert

Job ID: 2866299 | Amazon Spain Services, S.L.U.

The Data Analyst improves VAT Compliance reporting and data accuracy for Global Tax Services to reflect legislative and business change. In this role, you will work closely with indirect tax compliance customers and internal tech partners to support complex data solutions underpinning Amazon's indirect tax reporting in EMEA. As a Data Analyst, you will be expected to have solid data management experience, strong data querying skills, and understanding of tax and accounting principles to support indirect tax compliance teams in EMEA.

Key job responsibilities:

  1. Investigating and resolving data quality issues
  2. Defining technical requirements based on data analysis
  3. Performing user testing on new system builds
  4. Using Excel, SQL, Alteryx for reporting, auditing, and analysis
  5. Building relationships with key tech partners and business teams
  6. Identifying process gaps and improvements
  7. Escalating technical/operational issues appropriately
  8. Clearly explaining financial concepts and analysis to stakeholders
  9. Translating business objectives into actionable analyses
  10. Leading medium to large projects end-to-end, including establishing timelines, priorities, resource allocation, and keeping stakeholders informed of status and obstacles


About the team

The Global Tax Services (GTS) team aims to provide scalable, innovative indirect tax data solutions that increase efficiency and reliability. By implementing robust data management standards, we seek to reduce manual work while ensuring stability. Our focus is on delivering exceptional customer service and long-term value through solutions that enable operational scale.

BASIC QUALIFICATIONS

- Experience in tax, finance, or a related analytical field
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
- Experience in business or financial analysis
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL
- Experience making business recommendations and influencing stakeholders

PREFERRED QUALIFICATIONS

- Excellent communication skills; detail-oriented
- 3+ years of experience in data analytics, business intelligence, tax, or finance
- Bachelor’s degree

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Business Analyst, Global Tax Services

Data Engineer

Senior Consultant - AI Analyst, Data & Analytics, Belfast

Data Analyst

Business Analyst, Customer Partner Trust

[Apply in 3 Minutes] Data Evaluation Analyst - Manchester(Trinity Bridge House)

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.

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

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.