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Amazon Corporate LLC Business Intelligence Engineer in Seattle, Washington

Each day, thousands of developers make billions of transactions worldwide in the cloud. They are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. However, there are always a few people that try to take unfair advantage of a good thing.Are you interested in taking your skills and career to the next level, while having fun and fighting fraud in the cloud?Would you like to be the driving force for developing the insights and strategy for our global AWS Fraud Prevention Team?As a Business Intelligence Engineer (BIE) in the AWS Fraud Prevention Team, you will work alongside with top notch Business Analysts, BIEs and Data Engineers who work closely with the latest analytical databases (Redshift), reporting tools (Tableau/QuickSight) and other AWS services (Spectrum/Athena, Glue, S3). You'll help the stakeholder teams comprised of data scientists, developers, fraud investigators and program managers to automate and optimize their processes. You'll design and develop the end to end architecture for solving complex business problems and enabling data driven decisions via metrics.Responsibilities Include:* Gathering business and functional requirements and translating them into robust and scalable solutions that work well within the overall data analytics architecture.* Analyzing large amounts of data using SQL/statistical techniques and building metrics to help business teams to make data driven decisions. Identifying business process improvements using data and optimizing them via automation.* Designing, developing, implementing, testing, and documenting large-scale, high-volume, high-performance ETL/data structures for business intelligence.* Implementing data structures using best practices in data modeling to provide self-service reporting and analytics with a logical abstraction layer against large, multi-dimensional datasets and multiple sources.* Evaluating and making decisions around dataset implementations/BI tools, driving best practices with peer analytics professionals.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Here 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 we 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.* Bachelor's degree in Management Information Systems, Statistics, Software Engineering, STEM or a related technical/quantitative field* 3+ years of experience with relational databases, ETL, Data Modeling and working with Business Intelligence systems* 2+ years of experience with processing large, multi-dimensional datasets from different sources and automating the end to end reporting pipeline* Advanced competency with reporting tools (like Tableau/ Quicksight) and practical und