Business Intelligence Engineer Amazon
Seattle, WA

Job Description

Do you have a passion for customer experience and a mindset for data-driven problem solving? Do you want to be part of a team forging new ways to experience Amazon deliveries? We turned the transportation industry on its head by offering 363 day-a-year delivery, what will we do next?

Amazon Transportation Services is looking for a talented Business Intelligence Engineer who will own analytics and develop solutions to drive insights and optimization for driving Performance improvements. As a member of this team, you will have an opportunity to be a thought leader in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business leaders to design the Amazon network of the future. This position requires superior analytical thinking, ability to quickly approach large ambiguous problems and apply analytics, technical and engineering expertise to rapidly analyze, validate, visualize, prototype and deliver solutions. This position also requires significant cross functional activity and integration with transportation, tech, operations and finance. Successful candidates must thrive in a fast paced environment

As you further your career as a Business Intelligence Engineer at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and business cases to improve decision making. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have full ownership of the projects you work on.

Responsibilities:

* Manipulating/mining data from databases ( SQL Server, Redshift, Oracle DW)
* Create automated metrics, reports and dashboards using complex databases, data warehouses and web application technologies
* Providing analytical network support to improve quality and standard work results
* Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown
* Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality
* Foster culture of continuous engineering improvement through mentoring, feedback, and metrics