Business Intelligence Engineer, Fees Tech
3 weeks ago
Dive into the world of marketplace economics where your analytical genius will decode complex fee structures, uncover hidden patterns in seller behavior, and drive product innovations that directly impact over 2MM+ active sellers worldwide. In this high-impact role, you'll collaborate with product managers, scientists, engineers, and business leaders to tackle fascinating challenges at the intersection of technology, finance, and global commerce.
The Seller Fees Tech organization is where data meets real-world impact – every insight you generate can trigger a chain reaction across global stores, directly affecting seller profitability, and Amazon's bottom line. If you're passionate about leveraging latest analytical techniques (including GenAI) to solve complex business puzzles with massive scale and significance, this role offers the perfect blend of intellectual challenge and meaningful impact
Key job responsibilities
A. Data Analysis & Insights
Uncover insights by analyzing massive datasets, identifying patterns that reveal opportunities to optimize fee structures and seller experiences
Track and analyze business-critical metrics that reveal the performance of fee structures and incentive programs across international marketplaces
B. Business Partnership & Influence
Partner with product managers, engineers, and key stakeholders to define business metrics
Transform complex analytical discoveries into actionable business recommendations that drive measurable results
Develop and deliver compelling data narratives that influence product strategy and decision-making
Lead cross-functional collaborations that turn your analytical insights into tangible improvements
C. Technical Implementation & Innovation
Architect sophisticated data pipelines that extract, transform, and deliver critical insights
Build scalable, automated reporting solutions
Pioneer the application of latest GenAI tools to unlock deeper insights and analytical capabilities- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with data visualization using Tableau, Quicksight, or similar tools
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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