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As a Business Intelligence Engineer, you will play a pivotal role in building business intelligence solutions that directly impact strategic decision-making across AWS Security. You'll take ownership of developing and maintaining essential metrics while building automated processes that handle data analysis at AWS scale. We are looking for someone who can transform complex data into actionable insights and effectively communicate them to stakeholders across various levels.
Key job responsibilities
* Design, develop, and maintain scalable business intelligence solutions, including interactive dashboards and automated reports that drive key business decisions and strategic planning.
* Partner with business stakeholders to gather and analyze requirements, transforming their needs into data-driven solutions and actionable recommendations.
* Proactively identify business improvement opportunities through data analysis and present compelling insights and evidence-based recommendations to leadership.
* Work closely with Software Engineering teams to analyze complex datasets, creating clear visualizations and meaningful insights that support decision-making processes.
* Simplify and modernize existing BI solutions, ensuring scalability as business needs evolve and expand.
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
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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