bie II Amazon
Seattle, WA

Job Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, dynamic and driven people. As an organization, Amazon's US Selling Partner Recruitment and Development Organization is in a unique position to be highly influential; driving dialog and nurturing opportunities with Amazon Customers, Amazon Category teams, and Amazon Vendors.

As a result of strong business growth, we are looking for a BIE to join our BI team to further build and automate our reporting, high value action (HVA) recommending, and sales force prioritizing system to enhance team efficiency and effectiveness. The ideal candidate will be passionate about contributing to the team growth through his/her expertise in utilizing big data technology to answer business questions and identify growth opportunities. This person will build new business intelligence solutions as an owner end-to-end, at the same time, collaborate with data engineers and data scientists to automate recommendation and prioritization system.

To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, always applying analytical rigor to solve business problems. You should have strong business and communication skills and be able to work closely with product managers and sales teams to define key business questions and build data sets and models that answer them. Our BIEs are expected to have a detailed understanding of our business and never lose sight of the broader problems that we are trying to solve.

The primary responsibilities of this role include:

* Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
* Write SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, DBs), and learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use
* Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
* Create pipelines for automated Use analytical and statistical rigor to solve complex problems and drive business decisions.