Sr. Business Intelligence Engineer, AWS Analytics Engineering

Amazon Web Services (AWS); Seattle (WA); On-site; USD 130,000 - 176,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon Development Center U.S., Inc. in Seattle is seeking a Sr. Business Intelligence Engineer to join the AWS Analytics Engineering team for Amazon Quick.

You will own the reporting roadmap, deliver data-driven analyses, and build scalable pipelines from large datasets to surface adoption, engagement, and growth insights. Collaborate with cross-functional partners, communicate findings to senior leadership, and help establish best practices while mentoring junior engineers on analytics

Qualifications

• 5+ years of SQL experience.
• Experience programming to extract, transform and clean large (multi-TB) data sets.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with AWS technologies.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Responsibilities

• Develop a deep understanding of the business drivers, customer behavior, and data landscape for Amazon Quick.
• Own and deliver a comprehensive reporting and analytical roadmap that surfaces the key metrics for adoption, engagement, and growth.
• Deliver in-depth, data-driven analysis papers with actionable insights for business and product leaders.
• Design and build scalable data pipelines and models to derive key business metrics from large, complex datasets.
• Collaborate with cross-functional teams to identify and onboard new data sources that expand analytical coverage.
• Communicate findings clearly to business, finance, product, and technical audiences to influence decision-making and product enhancements.
• Build and adopt agentic capabilities that automate and accelerate analytical work, from report generation to answering analytical questions on demand.
• Mentor junior engineers and help establish new analytical standards and best practices for the team.

Skills

SQL

Data extraction & cleaning

Data modeling & warehousing

ETL pipelines

AWS technologies

Python scripting

Tools

QuickSight

Tableau

Job description

Description

AWS is looking for a Sr. Business Intelligence Engineer to join the AWS Analytics Engineering (AAE) team supporting Amazon Quick. Formerly Amazon QuickSight, Quick has evolved from a standalone BI service into a comprehensive, generative-AI-powered business intelligence platform that combines traditional analytics with modern AI assistance. It brings together two complementary experiences. Amazon Quick Sight is the cloud-native dashboarding and visualization engine that powers governed datasets, interactive dashboards, and ML-driven insights such as forecasting and anomaly detection. Alongside it, an agentic AI layer lets users chat with their data, conduct deep research, and automate multi-step workflows across connected enterprise sources through natural language. Available in the browser, as a desktop companion, and through extensions for Slack and Microsoft Office, Quick is used to turn data into decisions and actions, without requiring machine learning expertise. This is your opportunity to shape the analytical foundation of one of AWS's fastest-evolving products.

Key job responsibilities

• Develop a deep understanding of the business drivers, customer behavior, and data landscape for Amazon Quick.
• Own and deliver a comprehensive reporting and analytical roadmap that surfaces the key metrics for adoption, engagement, and growth.
• Deliver in-depth, data-driven analysis papers with actionable insights for business and product leaders.
• Design and build scalable data pipelines and models to derive key business metrics from large, complex datasets.
• Collaborate with cross-functional teams to identify and onboard new data sources that expand analytical coverage.
• Communicate findings clearly to business, finance, product, and technical audiences to influence decision-making and product enhancements.
• Build and adopt agentic capabilities that automate and accelerate analytical work, from report generation to answering analytical questions on demand.
• Mentor junior engineers and help establish new analytical standards and best practices for the team.

About The Team

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Basic Qualifications

• 5+ years of SQL experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Experience with data visualization using QuickSight, Tableau, or similar tools

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

Company - Amazon Development Center U.S., Inc.

Job ID: A10538977