Sr. Business Intelligence Engineer, AWS Security
2 weeks ago
As a part of AWS Security, you’ll get to operate in a constantly changing environment and get to work with AWS business and engineering teams on business-critical security projects and programs. We work across AWS to drive strategic security initiatives, design, and deliver tooling and automation, and continue to raise the bar on security at AWS. Our team drives programs to enable customers to integrate control implementation and assurance from across all of Amazon.
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.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive 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 & 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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
We are open to hiring candidates to work out of one of the following locations:
Portland, OR, USA | Seattle, WA, USA
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS technologies
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