At a Glance
- Tasks: Build and analyse data warehouses while ensuring tax compliance accuracy.
- Company: Join Amazon's fast-growing Global Tax Data team.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Other info: Collaborative environment with strong focus on learning and development.
- Why this job: Make a real impact by improving tax data integrity and compliance.
- Qualifications: Experience with data analysis, SQL, and visualisation tools required.
The predicted salary is between 49500 - 60500 £ per year.
The Global Tax Data (GTD) organization provides data management services and supports program and product initiatives that improve tax data integrity across Amazon's global indirect tax compliance operations. GTD ensures timely, accurate data is available for tax compliance reporting and audit readiness, and our teams manage the tax data infrastructure, pipelines, reconciliation tools, and operational reporting that compliance teams rely on worldwide.
As a Business Intelligence Engineer (BIE) II in GTD, you'll build gold-standard analytics datasets and data mart/warehouses while driving the data analysis, reconciliation operations, root-cause investigations, and process improvements that directly support Amazon's monthly tax compliance cycles. You'll partner cross-functionally with your customers in tax compliance and accounting, and with stakeholders across finance technology, to make sure the data behind every filing is complete, accurate, and delivered on time. You'll also work closely with Data Engineering, Software Engineering, and Solutions Architects.
This is a hands-on role for someone who enjoys digging into large datasets — spotting patterns, explaining the story behind the variances, and driving issues to resolution independently. You'll thrive here if you bring strong analytical skills, the ability (or a genuine eagerness to build it) to work with large-scale data, and the business judgment to translate tax and accounting context into the right system configurations.
Key job responsibilities
- Build and own the Gold standard data mart/warehouse for business reporting and analysis.
- Perform hands-on reconciliation and detailed analysis of large financial datasets each month, investigating and resolving discrepancies across source systems, tax reporting warehouses, and the general ledger.
- Troubleshoot data quality issues, identify root causes, and drive corrective actions with upstream and downstream teams.
- Partner with compliance and customer teams to understand reporting requirements and translate business objectives into clear data specifications and technical development requirements.
- Develop and maintain operational reports, dashboards, and metrics that give visibility into reconciliation health and data readiness.
- Identify opportunities to improve efficiency, controllership, and data quality — automating manual processes, reducing cycle time, and coaching customer teams on how to use the reporting and functionality you build.
- Own and manage SIM tickets and intake workflows, ensuring timely response and resolution for internal and external stakeholders.
- Support audit data requests by extracting, validating, and delivering data packages to auditors and tax authorities.
- Document standard operating procedures, runbooks, and process flows for recurring operational activities.
- Build strong relationships with key technology providers and technical teams across Amazon, and clearly explain financial and technical concepts to both technical and non-technical audiences.
- Contribute to Monthly and Quarterly Business Reviews (MBRs/QBRs) and operational readiness activities.
About the team
We are a fast-growing team supporting the Corporate Tax function. We seek candidates who are eager and able to learn new content quickly, who are willing to venture into unfamiliar territory, and who bring ironclad judgment and integrity when handling confidential information.
A day in the life
Work closely with Tech partners, non-tech customers and team to deliver the required solution.
Basic qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Experience in the data/BI space.
- 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 defining requirements and using data and metrics to draw business insights.
- Experience making business recommendations and influencing stakeholders.
- Bachelor's degree in finance, accounting, business, economics, engineering, analytics, mathematics, statistics or a related technical or quantitative field.
Preferred qualification
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
BIE II, Tax employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land BIE II, Tax
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We think you need these skills to ace BIE II, Tax
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amazon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Amazon
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
