Amazon Business Intelligence Engineer 

United States, Washington, Seattle 

571965131

You will design and implement streamlined data pipelines that can scale for volume, velocity, variety, and veracity. Your talent is wanted to make model results measured. You will build metrics and procedures to quantify their goodness and badness (much easier said than done). Your talent is wanted to democratize analytics. You will design and build dash- and visualization functionalities that will help our team members and business customers to explore complex multi-dimensional data produced by production systems as well as our models.You should be a self-starter who knows and loves working with BI tools, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets. You will also have the opportunity to display your skills in the following areas:- Performing analysis and validation using mathematical optimization models for network design tasks
- Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.- Communicating with senior management as well as with colleagues from different backgrounds
Key job responsibilities
- Develop metrics that helps support product category growth and expansion plansAbout the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling