As a Business Intelligence Engineer on the Data Engineering and Analytics team, you will build analytics solutions that directly impact decision-making across AWS Security. You'll own the development of essential metrics and measurement frameworks, design automated pipelines that handle data analysis at scale, and apply modern analytics techniques - including AI-assisted tooling and predictive capabilities - to surface insights that were previously out of reach. We're looking for someone who transforms complex data into clear, actionable intelligence and communicates it effectively to stakeholders at every level.
This role offers startup-like autonomy with enterprise impact: you'll challenge conventional approaches to analytics, explore emerging AI-driven methods to accelerate insight delivery, and build solutions that directly shape how security leaders inspect and operate their business. If you're passionate about pushing the boundaries of what data and intelligent automation can do for security, we want to hear from you.
Key job responsibilities
* Partner with business stakeholders to gather requirements, translate them into analytics solutions, and deliver actionable recommendations that inform decisions.
* Design, develop, and deploy production-grade data products - datasets, pipelines, dashboards, and measurement frameworks - with mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure reliability and reusability at scale.
* Apply AI-assisted techniques (e.g., intelligent anomaly detection, predictive analytics, natural-language interfaces) to deliver solutions that go beyond conventional BI approaches.
* Proactively identify business improvement opportunities through exploratory analysis and present evidence-based recommendations to leadership.
* Collaborate with SDEs, BIEs, Data Engineers, and Data Scientists to transform large, complex datasets into structured, analytics-ready assets that drive business outcomes.
* Simplify and modernize existing BI solutions to ensure they scale as business needs evolve.
* Contribute to team-wide analytics best practices - sharing methodologies, reviewing peers' work, and raising the bar on tooling and standards.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 3+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience working directly with business stakeholders to translate between data and business needs
PREFERRED QUALIFICATIONS
- 7+ years of business intelligence and analytics experience
- Experience developing, deploying and managing AI products at scale
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelor's Degree in Data Science, Statistics or related field.
- Experience with AWS technologies such as S3, AWS Glue, Lambda, IAM, Bedrock, SageMaker, Step Functions
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
