Business Intelligence Engineer, Amazon Security Experiences, Analytics and Science Team

Full Job Description

The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder experience analytics, and tooling decisions across Amazon's security ecosystem. Every insight surfaced to security leadership, from builder productivity trends to security issue quality metrics, flows through systems our team designs, builds, and maintains.

We operate at scale, processing large volumes of security and operational data daily through hundreds of pipelines consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. Our engineers work directly with source systems across AWS and SDO (Security, Developer, and Operations) data domains to procure data, convert it into structured formats, build large-scale processing pipelines, design analytical data models, and maintain infrastructure with the highest security and compliance standards.

We are seeking a Business Intelligence Engineer I to join our Security Data Intelligence (SDI) team. In this role, you will build and maintain BI solutions (datasets, queries, reports, dashboards, and analyses) that inform how security leadership makes decisions across Amazon. Working on well-defined problems with guidance from senior engineers, you will maintain data lineage understanding, apply analytics and visualization tools, and deliver reliable insights on schedule. You will partner with teams across ASE, BizOps, MapSec, and other security organizations to translate business questions into data-driven answers that serve the broader Amazon Security organization.

Key job responsibilities Learn and apply team BI best practices when building data artifacts including ETL, data models, queries, and reports. Measure and improve dataset quality across owned solutions. Automate manual processes where possible.

Maintain understanding of relevant data lineage: sources of data, how metrics are aggregated, and how BI is consumed and acted upon by security leadership. Learn the business context behind the team's data infrastructure and metrics definitions. Investigate data anomalies and validate outputs against source data and business logic.

Build small to mid-size BI solutions, or components of larger solutions, to answer straightforward business questions with data. Be proficient in SQL, maintain straightforward ETL, and create data structures using schema definition languages. Use analytics and visualization tools (e.g., QuickSight, Excel, Tableau) to deliver actionable insights.

Write secure, stable, testable, and maintainable code with minimal defects. Get analyses and code reviewed before deployment. Document solutions for ease of use, interpretation, and maintainability. Handle data in accordance with Amazon security and compliance policies.

Solve straightforward problems where what to accomplish is clear but how requires skill and knowledge. For example, building a dashboard that surfaces security issue quality trends, or creating a report that tracks builder productivity across SDO tooling data. Troubleshoot and research root causes, taking ownership or ensuring clear hand-off.

Take well-defined requirements and deliver on schedule. Seek input and guidance from team members on technology and business context. Participate in team design, scoping, and prioritization discussions. Communicate findings effectively to a technical audience.

Work effectively with customers (e.g., business teams, Data Scientists) and internal partners to ensure deliverables meet expectations. Partner with peer BIEs and others on the team. Help train new peers. Participate in the interview process.

Apply descriptive statistics to analyze security and operational data. Be familiar with inferential statistics and know when such methods are appropriate. Identify trends in metrics and segment along suitable dimensions to reveal deeper dynamics.

Assume responsibility for code, queries, reports, and analyses you inherit or produce. Ensure proper access control, data integrity, and auditability. Track security risks, mitigate issues, and escalate in a timely manner.

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.

Basic Qualifications

• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in data querying or modeling with SQL, Excel
• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
• Experience in data querying or modeling with SQL, Excel

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 - 82,300.00 - 144,000.00 USD annually

Experience with data visualization using Tableau, Quicksight, or similar tools Experience in data querying or modeling with SQL, Excel 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)