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Amazon Sr Business Intelligence Engineer AWS Compliance & Security Assurance 
United States, Washington, Seattle 
204349211

04.05.2025
DESCRIPTION

As a Sr. Business Intelligence Engineer, you'll be instrumental in constructing data pipelines, crafting robust metrics, and conducting advanced statistical analyses to gauge the effectiveness of our security programs. Your role will encompass leading end-to-end development of business intelligence solutions, empowering strategic decision-making processes. If you excel at distilling complex data insights into actionable strategies and can effectively communicate them to both technical and non-technical stakeholders, we'd love to hear from you.Key job responsibilities
Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems.
Produce recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
Simplify and automate reporting, audits, and other data-driven activities.
Analyze and solve problems at their root, stepping back to understand the broader context.
Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation.About 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


BASIC QUALIFICATIONS

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.