Senior BIE, Business Intelligence & Analytics (BIA)

Amazon Inc.; Seattle (WA); On-site; USD 130,000 - 176,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Development Center U.S., Inc. is seeking a Senior Business Intelligence Engineer to drive AI-powered analytics and automation for AWS Platform Experience.

You will own end-to-end BI solutions in complex, ambiguous areas, setting engineering standards and collaborating with Data Engineers, Applied Scientists, Finance, and business leaders. You will lead architecture for data models and governance, build root-cause analytics using LLMs and RAG, and ensure accurate, auditable outputs.

Qualifications

• 10+ years of professional or military experience in BI/data analytics.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• 8+ years of SQL experience and experience processing large, multi-dimensional datasets from multiple sources.
• 8+ years of statistical analysis experience.
• Experience as a Data Analyst, Data Engineer, BI Analyst, or related occupation.
• Experience programming to extract, transform and clean large (multi-TB) data sets.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with AWS technologies and scripting for automation (e.g., Python).

Responsibilities

• Own the technical roadmap for the analytics stack, including data models and governance controls.
• Design and build AI-powered analytics products for root-cause investigation and proactive insights.
• Define and enforce KPI governance for business metrics, ensuring accuracy and trust.
• Replace manual dashboards and reports with self-service and agent-generated insights.
• Review data designs for quality, scalability, latency, security, and cost.
• Define KPIs with statistical methods and monitor their impact through experiments.
• Write design docs and narratives to communicate capabilities and trade-offs to senior stakeholders.
• Mentor BIEs, participate in hiring, and drive best practices across the org.

Skills

Data analysis

Statistical analysis

Leadership

Mentoring

Communication

Education

Bachelor's degree in CS/Engineering/Math/Statistics/Economics or related field

Master's degree (preferred)

Tools

SQL

Tableau

Amazon Redshift

Quicksight

Python

Job description

Senior BIE, Business Intelligence & Analytics (BIA)

Job ID: 10588005 | Amazon Development Center U.S., Inc.

We are looking for a Senior Business Intelligence Engineer to drive the use of Artificial Intelligence (AI) and automation in analytics, powering executive-level decision making for AWS Platform Experience (PLEX). The Platform Experience Business Intelligence & Analytics (PLEX BIA) team serves as the central hub for transforming the data into trusted business insights. We build and manage scalable analytics infrastructure, standardized metrics, dashboards, and automated reporting that support decision-making across Billing, Fraud Prevention, Payment and Order to Cash systems. We've already shown that governed, AI-powered self-service analytics works: our generative AI insights agent answers business questions for hundreds of users and has saved thousands of hours of manual work. Our next goal is to go from answering questions to investigating them. That means proactive, agent-driven analytics that explain why a metric moved and what to do about it. As a Senior BIE, you'll be a technical leader for that work. You'll own end-to-end Business Intelligence (BI) solutions in complex, ambiguous areas, set the engineering standards others follow, and work with Data Engineers, Applied Scientists, Finance and business leaders. You'll turn open-ended questions into insight leaders can trust and act on, and your work will directly shape decisions in Monthly Business Reviews (MBRs) and revenue assurance.

Key job responsibilities

• Architecture: Own the technical roadmap for the team's analytics stack, including data models, semantic layers, governance controls, and the integration patterns that let AI agents use our data reliably.
• AI-powered analytics: Design and build products for root-cause investigation, anomaly detection and proactive insights, using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agent frameworks.
• Metric governance: Define and enforce governance for S-team/AWS Goal business metrics, covering definitions, lineage, freshness and validation. Evaluate AI-generated outputs so answers stay accurate, auditable and trusted by Finance.
• Automation: Replace manual Key Performance Indicator (KPI) decks and recurring reports with self-service and agent-generated insights.
• Technical judgment: Review data designs for quality, scalability, latency, security and performance. Make high-impact calls on data modeling, build-vs-buy, legacy migrations, and cost/performance across Amazon Redshift, Athena and related services.
• Statistical rigor: Define, calibrate and monitor KPIs with statistical methods, including alarms based on historical variance and experiments that measure business impact.
• Communication: Write design docs and narratives that align senior stakeholders, and explain capabilities, limitations and trade-offs in business terms.
• Raising the bar: Mentor BIEs, provide technical assessments for promotions, take part in hiring, and drive best practices across the organization: code reviews, naming conventions, metric definitions and operational excellence.

Basic Qualifications

• 10+ years of professional or military experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• 8+ years of SQL experience
• 8+ years of processing large, multi-dimensional datasets from multiple sources experience
• 8+ years of performing statistical analysis experience
• 8+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience working as a BIE in a technology company

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 - 130,400.00 - 176,300.00 USD annually