Description Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? How Amazon reliably maintains its network? Are you interested in joining a global reliability team at Amazon? If so, the Amazon RME team is for you. This is an opportunity to expand your knowledge and support a multi-disciplinary analytics team. Amazon aims to be Earth's most customer-centric company, providing a wide range of products online. We're looking for a Business Intelligence Engineer II to join our multi-disciplinary team of business intelligence engineers, business analysts, TPMs, and product managers. In this role, you will apply your analytical skills to analyze data and provide recommendations to help RME deliver excellent service to the Amazon network. You will work closely with PMs and BI Managers in one of the world's largest data warehouse environments, using historical information and real-time data to provide solutions. You will also have the opportunity to learn new systems, tools, and industry best practices to analyze big data and enhance our analytics. Join us in this dynamic environment, where you can work on challenging analytical problems, collaborate with other engineers, and deliver reporting at a massive scale. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! 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 Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.