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Amazon Inc. is seeking a Business Intelligence Specialist to join the Pricing & Payments team within Amazon's Last Mile Brazil organization.
You will own the design, development, and maintenance of data intelligence solutions that ensure pricing accuracy and financial health across partner programs — EDSP, AMPL, and AMXL. As an Individual Contributor, you will build pipelines, dashboards, reconciliation mechanisms, and self-service tools to reduce manual work and provide real-time visibility
Amazon is the most customer-centric company on Earth. We need exceptionally talented, bright, and driven people who are passionate about doing the right thing.
We are looking for a Business Intelligence Analyst to join the Pricing & Payments team within Amazon's Last Mile Brazil organization, as part of the Partner Strategy & Experience (PSX) organization. This role owns the design, development, and maintenance of data intelligence solutions, automated mechanisms, and analytical frameworks that ensure pricing accuracy, payment reliability, and financial health across all delivery partner programs — EDSP (External Delivery Service Provider), AMPL (Amazon Partner Logistics), and AMXL (Amazon Extra Large).
As an Individual Contributor, you will be the data and automation backbone of the Payments & Pricing function — building pipelines, dashboards, reconciliation mechanisms, and self-service tools that eliminate manual processes, reduce payment errors, and provide real-time visibility into financial operations. You will partner closely with Payments Specialists, Pricing Specialists, Finance, and Operations to turn complex data into actionable intelligence.
This role reports directly to the Pricing & Payments Manager and works cross-functionally with Finance, Operations, Technology, and partner-facing teams.
This position is based out of an AMZL office.
If you are passionate about building intelligent data solutions, automating complex processes, and driving financial precision through analytics, come join our team.
Your day starts by checking the automated health monitors you built for the payment pipeline. An alert fires — a batch of AMPL partner payments shows a 3% discrepancy against expected values. You dive into the SQL query that powers the reconciliation engine, identify a data source lag from a route restructuring, and push a fix before the payment cycle closes.
Mid-morning, you join a sync with the Payments Specialists to review a new automated dispute detection mechanism you're piloting. The early results are promising: 40% of disputes that previously required manual review are now auto-classified and routed, saving 15