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As a Sr. Business Intelligence Engineer, you'll lead constructing foundational data pipelines and data tables, crafting robust metrics, and conducting advanced statistical analyses to gauge the effectiveness of our security assessment programs. You will have end-to-end ownership of operational, and technical aspects of the insights you are building for the programs, and will play an integral role in strategic decision-making. 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
* Develop and lead design and execution of of BI solutions for complex and ambiguous problems.
* Produce recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
* Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
* Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
* Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
* Simplify and automate reporting, audits, and other data-driven activities.
* Mentor teammates, provide inputs in team and org level strategic planning, lead cross org discussions
* 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
- 7+ 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 theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
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