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Join a leading company as a Business Intelligence Engineer I in their International Seller Services Central Analytics Team. You'll tackle data warehousing and reporting challenges, build scalable solutions, and provide insights that drive strategic decisions. This role requires expertise in data visualization, business analysis, and programming languages like Python and SQL. Be part of a diverse team that leverages massive-scale data to optimize seller experiences on Amazon's platform.
Join Us in the International Seller Services Central Analytics Team and Tackle Data Warehousing and Reporting Challenges!
We are a dedicated group of BIEs, DEs, DSs, AS, and BAs within the Seller Services organization at Amazon. Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazon's global platform. We specialize in constructing and maintaining intricate standard data pipelines used by thousands of users worldwide to measure, derive, and analyze seller performance.
We are currently seeking a talented, self-driven, and experienced BIE I to join our team. In this role, you will work on building scalable solutions, including extensive data models and complex ETL pipelines, enhancing data timeliness, discoverability, and availability.
The ISS-CA team is a cross-functional group of experts including scientists, economists, BIEs, Data Engineers, and Business Analysts. Our mission is to uncover insights into third-party seller behavior and performance, guiding strategic decisions and optimizing the seller experience. We leverage massive-scale data, analytics, and machine learning to drive innovation and business success.
We are committed to an inclusive culture that empowers all Amazonians. If you need accommodations during the application or onboarding process, please visit this link. For other regions, contact your Recruiting Partner.
Posted: Multiple dates in 2024 and 2025, with recent updates.
Amazon is an equal opportunity employer, committed to diversity and inclusion, and does not discriminate based on protected statuses.