Sr. Data Tax Analyst, 3P ITX - International Tax Team
Barcelona, SpainFull-timePosted Jul 7, 2026
ApplyAmazon's diverse online business operates across multiple jurisdictions worldwide, generating significant tax data-sharing obligations relating to third parties (3P) that sell via our marketplaces.
These obligations sit under frameworks such as DAC7, OECD Model Reporting Rules, CESOP, China PN15, Mexico Digital Access, and a growing number of bespoke jurisdiction-specific regimes.
We are looking for a smart, detail-oriented Senior Data Tax Analyst with strong analytical capabilities and hands-on experience in SQL and / or PySpark, to support the worldwide delivery of 3P data-sharing
obligations. The role focuses on reconciliation, data validation, and quality assurance across regulatory submissions covering hundreds of thousands of sellers and material reporting volumes.
In this role, you will partner with ITX teams across Europe and International, working cross-functionally with Tax, FinTech, GTD, and business stakeholders to ensure data submitted to tax authorities is accurate, complete, and reconcilable. You will play a key role in strengthening reconciliation frameworks, identifying data anomalies, and ensuring all submissions stand up to internal review and external audit scrutiny.
The successful candidate will be highly data-centric, naturally curious about numbers, and confident questioning what they see before any data leaves the team. They will have experience working with large, complex datasets, an analytical mindset, and the ability to build clear narratives around what the data is telling them.
At Amazon, we believe that in-person collaboration is essential to our culture and innovation. While we allow flexibility for personal circumstances, we generally expect employees to work from our offices five days a week. This approach has consistently shown that spontaneous interactions, rapid problem-solving, and the energy of in-person teamwork lead to better results for our customers. In particular, our data shows that teams working together in person are more effective at making complex decisions, onboarding new team members, and fostering the kind of creative collaboration that has driven Amazon's success. The serendipitous hallway conversations and impromptu whiteboarding sessions that happen naturally in an office environment have proven invaluable to our invention process and maintaining our high bar for excellence.
Key job responsibilities
- Lead reconciliation and data validation across 3P data-sharing submissions globally — across multiple frameworks (DAC7, OECD, CESOP, PN15, MX SAT, ad-hoc jurisdiction requests)
- Perform completeness and accuracy checks at extraction, transformation, and submission stages, including marketplace coverage, currency consistency, scope filters, and quarter-on-quarter trend analysis
- Investigate variances and anomalies between datasets (e.g., reporting outputs vs. independent baselines, current vs. prior periods) and drive resolution to root cause
- Build and maintain reconciliation methodologies that are documented, peer-reviewed, and auditable — strengthening the team's overall control framework
- Partner with FinTech, GTD, and other tech teams to translate regulatory requirements into data extraction and validation approaches, providing the analytical lens to ensure the outputs match expectation
- Collaborate with business stakeholders across Europe and International to understand reporting obligations, surface data quality risks, and propose improvements
- Support ad-hoc data requests from tax authorities globally, ensuring data shared externally is reconciled, validated, and documented before submission
- Contribute to continuous process improvement — identifying repeatable validation routines that can be standardized, automated through FinTech tooling, or scaled across jurisdictions
- Engage with senior stakeholders (including Directors and VPs) to communicate findings clearly, escalate risks early, and align on remediation
About the team
The work is owned and led by the International Tax Compliance team (ITX), in close partnership with FinTech as our technology partner, and is critical to Amazon's compliance posture globally.
- Experience in managing and troublshooting network, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience navigating a knowledge base and following Standard Operating Procedures (SOPs)
- Experience demonstrating strong analytical abilities and confidence in the use of data
- Experience coordinating between technical teams, peers and business stakeholders
- Strong analytical background, ideally with prior experience in tax compliance, data analytics, or business analysis roles
- Hands-on SQL and / or PySpark experience — comfortable working directly with large datasets to extract, transform, validate, and reconcile documented analytical outputs
- Experience working in an analytical environment with cross-functional teams
- Experience with regulatory tax data sharing frameworks (DAC7, OECD, CESOP, marketplace facilitator regimes)
- Exposure to working with multi-jurisdictional data and currency conversion mechanics
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.
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.
These obligations sit under frameworks such as DAC7, OECD Model Reporting Rules, CESOP, China PN15, Mexico Digital Access, and a growing number of bespoke jurisdiction-specific regimes.
We are looking for a smart, detail-oriented Senior Data Tax Analyst with strong analytical capabilities and hands-on experience in SQL and / or PySpark, to support the worldwide delivery of 3P data-sharing
obligations. The role focuses on reconciliation, data validation, and quality assurance across regulatory submissions covering hundreds of thousands of sellers and material reporting volumes.
In this role, you will partner with ITX teams across Europe and International, working cross-functionally with Tax, FinTech, GTD, and business stakeholders to ensure data submitted to tax authorities is accurate, complete, and reconcilable. You will play a key role in strengthening reconciliation frameworks, identifying data anomalies, and ensuring all submissions stand up to internal review and external audit scrutiny.
The successful candidate will be highly data-centric, naturally curious about numbers, and confident questioning what they see before any data leaves the team. They will have experience working with large, complex datasets, an analytical mindset, and the ability to build clear narratives around what the data is telling them.
At Amazon, we believe that in-person collaboration is essential to our culture and innovation. While we allow flexibility for personal circumstances, we generally expect employees to work from our offices five days a week. This approach has consistently shown that spontaneous interactions, rapid problem-solving, and the energy of in-person teamwork lead to better results for our customers. In particular, our data shows that teams working together in person are more effective at making complex decisions, onboarding new team members, and fostering the kind of creative collaboration that has driven Amazon's success. The serendipitous hallway conversations and impromptu whiteboarding sessions that happen naturally in an office environment have proven invaluable to our invention process and maintaining our high bar for excellence.
Key job responsibilities
- Lead reconciliation and data validation across 3P data-sharing submissions globally — across multiple frameworks (DAC7, OECD, CESOP, PN15, MX SAT, ad-hoc jurisdiction requests)
- Perform completeness and accuracy checks at extraction, transformation, and submission stages, including marketplace coverage, currency consistency, scope filters, and quarter-on-quarter trend analysis
- Investigate variances and anomalies between datasets (e.g., reporting outputs vs. independent baselines, current vs. prior periods) and drive resolution to root cause
- Build and maintain reconciliation methodologies that are documented, peer-reviewed, and auditable — strengthening the team's overall control framework
- Partner with FinTech, GTD, and other tech teams to translate regulatory requirements into data extraction and validation approaches, providing the analytical lens to ensure the outputs match expectation
- Collaborate with business stakeholders across Europe and International to understand reporting obligations, surface data quality risks, and propose improvements
- Support ad-hoc data requests from tax authorities globally, ensuring data shared externally is reconciled, validated, and documented before submission
- Contribute to continuous process improvement — identifying repeatable validation routines that can be standardized, automated through FinTech tooling, or scaled across jurisdictions
- Engage with senior stakeholders (including Directors and VPs) to communicate findings clearly, escalate risks early, and align on remediation
About the team
The work is owned and led by the International Tax Compliance team (ITX), in close partnership with FinTech as our technology partner, and is critical to Amazon's compliance posture globally.
Basic qualifications
- Experience working with large, complex data sets- Experience in managing and troublshooting network, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience navigating a knowledge base and following Standard Operating Procedures (SOPs)
- Experience demonstrating strong analytical abilities and confidence in the use of data
- Experience coordinating between technical teams, peers and business stakeholders
- Strong analytical background, ideally with prior experience in tax compliance, data analytics, or business analysis roles
- Hands-on SQL and / or PySpark experience — comfortable working directly with large datasets to extract, transform, validate, and reconcile documented analytical outputs
Preferred qualifications
- Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment- Experience working in an analytical environment with cross-functional teams
- Experience with regulatory tax data sharing frameworks (DAC7, OECD, CESOP, marketplace facilitator regimes)
- Exposure to working with multi-jurisdictional data and currency conversion mechanics
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.
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.