Business Intelligence Engineer, XCM Insights Position Available In New York, New York

DescriptionAmazon’s Cross Channel Marketing Insights Team (XCMI) is seeking an experienced BIE who will be a key contributor, developing analytics and insights for Amazon Retail and Prime fixed marketing. As a key contributor, you’ll shape how we understand and engage with customers globally by building innovative solutions that transform complex data into actionable marketing insights, and help drive Amazon Retail and Prime’s mission to deliver breakthrough, culturally-aware marketing that creates lasting business value. About the team We are Amazon’s center of excellence for marketing insights and measurement, supporting global Cross Channel Marketing (XCM) initiatives across 10+ marketplaces. Our team blends advanced analytics, research expertise, and engineering innovation to drive data-driven marketing decisions. Our work spans foundational research streams including: Global brand health measurement and tracking Structural Equation Modeling to understand brand drivers Marketing effectiveness and creative performance analysis Customer lifecycle insights and segmentation Machine learning-driven marketing analytics Based across Seattle, Arlington, London, New York, and Bengaluru, we partner closely with senior leadership to transform research and data into actionable insights that shape Amazon’s marketing strategy.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience writing complex SQL queries
• 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 modelingPreferred 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 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.