Amazon Business Intel Engineer II ATS 

United States, Washington, Bellevue 

949909525

Amazon Transportation Services (ATS) is looking for an innovative, results-oriented and strategic Business Intelligence Engineer (BIE) individual who is comfortable diving into complex problems and can develop solutions to recommend business decisions.
• You have a department-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results company-wide.
• You should be skilled in database design, conduct analytics using SQL and Python, and build lightweight tools and methods for others to replicate and scale their work.
• You are comfortable dealing with large and complex data sets, and have experience building self-service dashboards and using visualization tools especially Quicksight.
• You should have strong analytical and communication skills, and ability to work through ambiguous problems in a fast paced environment to develop and define key business questions and requirements.Key job responsibilities
• Design, build, and maintain automated reporting, Quicksight dashboards, and analyses to enable self-service of data needs, allowing you to focus on answering hard and ambiguous problems.
• Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle).
• Ability to break down and solve complex problems while actively engaging with internal partners throughout the organization to meet and exceed customer service levels & transport-related KPI’s
• Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation while driving scalable solutions.
• Understand data resources and know how, when, and which to use (and which not to use)
• Continue to move forward in the face of ambiguity and imperfect data. Find a solution around the problem that still maintains a high analytical bar. You do not suffer from “analysis paralysis”.
• Ability to manage through conflict with a positive, flexible and professional attitude
• Communicate analysis results and techniques, both verbally and in writing, clearly and confidently to peers and business partners.
• Explain analysis results to the stakeholders through verbal and written communications.

- 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