Business Intelligence Engineer Amazon
Seattle, WA

Job Description

The US Softlines Financial Planning & Analysis group is looking for a smart, motivated, and driven Business Intelligence Engineer. Are you passionate about big data and analytics? Does working in one of the world's largest data environments excite you? Do you want to be a critical part of a high-growth business that is fundamentally changing an industry? If so, this is a unique opportunity to influence Sr. leaders and change the way our business arrives at and makes decisions by providing "information" instead of "data."

The Business Intelligence Engineer will play a critical role in supporting the Softlines leadership team and will impact all businesses within Softlines (Apparel, Shoes, Jewelry, Watches, Luggage, etc.). This role will influence a wide range of decisions from promotions to marketing to vendor performance to everything in-between. They will create visibility through building and maintaining insightful reporting and will participate in special projects aimed at disrupting the industry.

Our ideal candidate has a combination of strong technical skills, superb analytical capabilities, outstanding business insight, and excellent verbal and written communication skills. As a member of our team, you will have the opportunity to work with one of the largest and most complex data warehouses in the world and leverage leading edge technologies like Redshift, Hadoop/Hive.

Responsibilities Include:

* The design, development and maintenance of key metrics, reports, dashboards, etc. that drive key business activity.
* Building and managing a data environment that serves as the backbone for the analytical and reporting needs of multiple stakeholders.
* Partnering with the business and technical teams for analysis on many non-standard and unique business problems.
* Using creative problem solving to deliver new and innovative reports and data insights.
* Encouraging the organization to adopt next-generation business intelligence tools for real-time data analysis and scalable AWS-based solutions