Employment Type : Full-Time
AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.
AWS Payments is looking for a highly motivated Business Intelligence Engineer to help build our reporting, analytics, and forecasting capabilities. Our team powers the processing and collection of payments for the AWS Commerce Platform, provides the functionality for customers to purchase AWS products and services in multiple countries and currencies, using multiple payment methods, and processes billions of dollars in revenue.
As a BI Engineer II at AWS, you will work in one of the world’s most complex data warehouse and analytics environments. You will own development of reporting and analytics to improve the AWS payments experience and guide international expansion efforts. You will drive development and implementation of analytics, visualization solutions, and other BI applications used by data scientists, software engineers, product managers, and business leaders across the company.
As a member of this team, you will leverage your strong data and analytics skills to study and describe the customer end-to-end financial experience. You will develop new data sets to support deep-dive analyses and dashboards for cross-functional audiences, including AWS executive leadership. The ideal candidate will be detail-oriented, able to communicate effectively with technical and non-technical audiences, demonstrate strong business acumen and judgment, and be comfortable managing multiple competing priorities. Successful candidates will find new ways of working with and visualizing data and be adept at translating business requirements into practical deliverables. Above all, you should be passionate about transforming huge and disparate data sets into actionable information to help us delight our customers.
Key responsibilities
Learn and Be Curious. 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.
Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.
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