Amazon Business Intelligence Engineer CS Security 

United States, Washington, Seattle 

934922182

Key job responsibilities
1. Develop robust, extensible, and scalable Business Intelligence solutions for security problems.2. Create and refine data strategies, making technical trade-off decisions for short and long-term requirements.4. Conduct ad-hoc investigations to support future improvements and innovations.5. Gather and manipulate data, solve problems, and communicate insights and recommendations clearly.6. Write high-quality SQL queries and Python code to retrieve and analyze data efficiently.7. Build compelling data visualizations that illustrate business trends, patterns, and outliers.8. Stay current with BI tools, technologies, and best practices to continually improve solutions.
ABOUT AmSec:Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred 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.
Work/Life BalanceInclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training and 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.

- 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