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.
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)
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
