Business Intelligence Engineer II, RBS Tech, CAM

Overview Business Intelligence Engineer II, RBS Tech, CAM Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks: (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination, where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow; and (c) supports operational processes for WW Retail teams. Our team of high-caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to identify and fix the right catalog defects to ensure a good shopping experience for our customers. We are looking for a customer-obsessed Business Intel Engineer who thrives in a data-driven culture and will help us hold a high bar for the RBS Data Engineering Team. This individual will be responsible for driving/creating: Experience working with large, multi-dimensional datasets from multiple sources Make recommendations for new metrics, techniques, and strategies to improve operational and quality metrics Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.) Experience in deployment of Machine Learning and Statistical models Building new Python utilities and maintaining existing ones Enabling more efficient ad hoc queries & analysis Working closely with research scientists, business analysts and product leads to scale data Ensuring consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues Exploring and learning the latest AWS technologies to provide new capabilities and increase efficiencies Mentoring the team on analytics best practices About the team: Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow; and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. BASIC QUALIFICATIONS 3 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS 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 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. J-18808-Ljbffr

Location: Asti, Piemonte, IT

Posted Date: 11/1/2025