Amazon Business Intelligence Engineer Ad Product Finance 

United States, Washington, Seattle 

891768220

This position will be responsible to develop and managing large, complex datasets that are both scalable and easily accessible. This candidate will be comfortable with ambiguity and a self-starter who seeks requirements for major business initiatives, and will be an essential team member that can articulate insights using the data.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. You can expect to leverage your analytical skills and have full ownership of your projects.Key job responsibilities
- Design, implement, and support a platform providing secured access to large datasets
- Interface with Business, Finance and Accounting customers, gathering requirements and delivering end-to-end BI solutions
- Model data and metadata to support ad hoc and pre-built reporting- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Tune application and query performance using profiling tools and SQL
- Analyze and solve problems at their root, stepping back to understand the broader context- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
A day in the life
- Work with stakeholders to understand and design solutions on major projects
- Seek opportunities to streamline existing Finance manual process and automate using BI technology

- 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 writing complex SQL queries
- 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