Descripción de la oferta
DescriptionAmazon's marketplaces process billions of transactions across hundreds of thousands of sellers in dozens of countries. Ensuring the accuracy, completeness, and reconcilability of this data at scale - before it's shared with tax authorities - is a complex, high-stakes analytical challenge. This is a data role first and foremost. A tax background is a benefit, but not a requirement - the regulatory context is something you'll pick up quickly.In this role, you'll own the reconciliation and validation of 3P data-sharing submissions globally, covering frameworks such as DAC7, OECD Model Reporting Rules, CESOP, China PN15, and Mexico Digital Access. You'll build the methodologies that ensure nothing leaves the team without being validated, reconciled, and explainable - designing frameworks from the ground up, identifying anomalies at scale, and driving root cause resolution across datasets covering hundreds of thousands of sellers.You'll partner cross-functionally with Tax, FinTech, GTD, and business stakeholders across Europe and International, and engage directly with senior leadership to communicate findings and elevate risks.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 responsibilitiesDesign and own reconciliation frameworks across 3P data-sharing submissions globally (DAC7, OECD, CESOP, PN15, MX SAT, ad-hoc requests)Build auditable, peer-reviewed reconciliation methodologies from the ground upDefine and automate validation logic across extraction, transformation, and submission stagesInvestigate variances and anomalies between datasets and drive root cause resolutionPartner with FinTech and GTD to translate requirements into data validation approachesSurface data quality risks and propose improvements across jurisdictionsIdentify routines that can be standardised, automated, or scaledEngage with senior stakeholders (Directors/VPs) to communicate findings and elevate risksAbout The TeamThe 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 QualificationsExperience working with large, complex data setsExperience in managing and troublshooting network, or experience that includes strong analytical skills, attention to detail, and effective communication abilitiesExperience navigating a knowledge base and following Standard Operating Procedures (SOPs)Experience demonstrating strong analytical abilities and confidence in the use of dataExperience coordinating between technical teams, peers and business stakeholdersStrong analytical background, ideally with prior experience in tax compliance, data analytics, or business analysis rolesHands‑on SQL and / or PySpark experience - comfortable working directly with large datasets to extract, transform, validate, and reconcile documented analytical outputsPreferred QualificationsExperience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environmentExperience working in an analytical environment with cross-functional teamsExperience with regulatory tax data sharing frameworks (DAC7, OECD, CESOP, marketplace facilitator regimes)Exposure to working with multi-jurisdictional data and currency conversion mechanicsAmazon 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.CompanyAmazon EU SARL (Spain Branch) - C16Job ID: A10467369
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