Business Intelligence Engineer, Worldwide Customer Service Finance

As a Business Intelligence Engineer with Worldwide Customer Services Finance team, you will help identify opportunities and implement solutions to improve Finance facing systems and tools. You will be Basic qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 2+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - Experience with data visualization using Tableau, Quicksight, or similar tools - 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 Preferred: - 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 in Statistical Analysis packages such as R, SAS and Matlab 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.