Business Intelligence Engineer 2 – Tax
Amazon
Business Intelligence Engineer 2 – Tax
Amazon
Sells products online and rents cloud computing
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 analysys
• 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 customer and team to deliver the required solution.
- 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 with SQL
- 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
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
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Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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