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Amazon Corporate LLC Business Intelligence Engineer II in Seattle, Washington

Would you like to help the AWS forecasting team decrease the cost of AWS' infrastructure by improving the planning process for AWS services?AWS is made up of a collection of hundreds of individual services, each with its own goals, growth trajectory, and strategies. In addition, every service is built on top of other AWS services, creating a complex web of relationships between services. Decentralization is fantastic for innovation, but often results in inefficient resource usage that does not take advantage of AWS' scale.The AWS Forecasting team is looking for a Business Intelligence Engineer to improve our Capital Expenditure (CapEx) and utilization monitoring. This monitoring lowers the operating cost for AWS by helping services find opportunities to become more efficient. The primary customers for this program are: service leadership and their finance partners, who spend weeks of effort each year creating/reviewing manual reports that still leave many important questions unanswered.Your specific responsibilities include:* Write high quality SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL)* Create user friendly repeatable reporting solutions to minimize ad hoc customer requests, which creates team thrash and a poor customer experience.* Work directly with customers to understand the business problems at hand and propose impactful analyses and solutions. Ensure customers' problems are solved and sustained.* Provide requirements for teams responsible for building and maintaining data sources.The ideal candidate has: an understanding of how software engineering teams use hardware, the ability to build trusting relationships with internal customers, and a motivation to achieve results in a fast-paced environment. Candidates should also demonstrate a passion for working on behalf of customers and the ability to collaboratively work with others.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Mentorship & Career Growth - We're committed to the growth and development of every member of AWS forecasting. You will have the opportunity to contribute to the culture and direction of the entire org through participation in: the annual planning process, goal ownership, and on-going team process improvements. Over time, your role and scope of influence will likely grow/change as we scale our team to meet business needs.Work/Life balance - After Covid-19 restrictions end, our team will be co-located in: the Seattle and Bellevue offices, with the ability to occasionally work from home . This position does not require sev1/sev2 support. Our team does not have a sustained "peak" period of higher than normal workloads (e.g. prime-day, Re:invent, or Q4 prep).* Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)* 3+ years of relevant experience in one of the following areas: Business intelligence, data engineering, database engineering, or business analytics.* 3+ years of experience writing complex, optimized SQL queries.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 disabilit

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