Business Intelligence Engineer AWS Cloud Compute Amazon
Seattle, WA

Job Description

Amazon is looking for an outstanding Business Intelligence Engineer to join the AWS EC2 BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the EC2 team. Today, Amazon EC2 enables customers of all sizes to run their applications on our industry leading cloud infrastructure. Amazon EC2 redefines the economics and physics of computing, reducing the time to build a datacenter to minutes. Customers around the world use Amazon EC2 to rapidly scale capacity up and down as their computing requirements change. But there are many additional services and offerings that will make Amazon EC2 an even better customer experience and platform for our customers. We are changing the way people use computers and the EC2 team is at the core of pushing the future of our technology platform - come help us make history!

As a BI engineer on this team, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.

Key responsibilities include

* Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
* Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
* Conduct ad hoc data analysis and data quality investigations.
* Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
* Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
* Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.