Beyond building analytics for Amazon Quick, this team is reimagining how analytical work itself gets done. We are developing agentic capabilities that automate and accelerate the daily workstream of a business intelligence engineer, from building reports to answering analytical questions on demand. As a Sr. BIE, you will help shape and adopt these capabilities, both applying them to scale your own impact and informing how they evolve. This is a rare opportunity to practice business intelligence on a platform you are helping to build, and to redefine analytical best practices for an AI-native era.
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.
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.
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
