Business Intelligence Engineer

• Bachelor’s degree in Computer Science, MIS, related technical field, or equivalent work experience.
• 2+ years of experience using data visualization tools such as Tableau or QuickSight
• 3+ years of experience writing complex, highly optimized SQL queries for analyzing very large data sets (e.g. Oracle, SQL Server, Amazon Redshift)
• 2+ years of experience using Python or other scripting language in a Unix/Linux environment to automate data processing tasks
• 2+ years of hands on experience with data modeling, ETL development, and data warehousing
• 3+ years of hands-on analytics work experience with proven quantitative orientation
• Demonstrated ability to drive multiple complex projects to completion on 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

• Translate business requirements into technical requirements
• Integrate large and disparate data sets into operational and business planning
• Design, build, and maintain critical business reports, delivered on set schedules
• Build effective data visualizations and dashboards using Tableau, QuickSight, and other data presentation technologies
• Define and implement metrics across operations, payments services, and financials.
• Design, implement, and maintain ETL/ELT processes using AWS technologies together with SQL, Python, and other scripting languages
• Recognize and adopt best practices in reporting, analysis, data integrity, data security, test design, validation, and documentation
• Drive alignment and standardization of analytical processes across the Payments team
• Present BI solutions and features to technical and nontechnical stakeholders at all levels of the company

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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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

• Payments or banking industry experience a plus