Business Intelligence Engineer, WWGS Retail BI, WWGS Retail BI
Seattle, WA - USA
Job Summary
Were seeking a Business Intelligence Engineer to support the teams that make pricing promotions selection assortment and reset decisions across Amazons grocery banners. Youll design scalable data solutions deliver actionable insights and build AI-powered tools that help merchandising stakeholders access data and make faster better decisions.
What makes this role exciting:
- Strategic breadth: Support multiple merchandising functions giving you visibility into how grocery retail decisions come together end-to-end
- AI innovation: Build and deploy AI-powered analytics tools that transform how stakeholders interact with data and get their analytical questions answered
- Complex problem-solving: Tackle ambiguous challenges born from the rapid growth and evolution of Amazons grocery business
- Cross-functional influence: Partner with Finance Tech and Retail teams to establish data-driven decision frameworks
- Technical depth: Design ETL pipelines build automated reporting create self-service dashboards and develop data models using AWS technologies (Redshift Athena QuickSight S3)
Key job responsibilities
- Design and implement automated ETL pipelines data models and reporting solutions that transform raw data into actionable insights for grocery retail stakeholders
- Build self-service dashboards and analytics tools that enable business teams to monitor performance and make data-driven decisions independently
- Develop AI-powered solutions that improve stakeholder access to data and accelerate time-to-insight
- Write high-quality SQL to retrieve and analyze complex datasets understanding which data sources to use and how to join them reliably
- Deliver insights that go beyond what happened to explain why and recommend what to do next
- Partner cross-functionally to translate ambiguous business requirements into technical solutions
- Implement data quality monitoring and documentation practices that maintain trust in analytics outputs
A day in the life
Youll split your time between building scalable analytics infrastructure and partnering directly with stakeholders to answer their most pressing questions. Some days youre deep in code building pipelines or prototyping an AI tool; others youre presenting findings to leadership or whiteboarding a measurement framework with cross-functional partners. Youll balance planned projects with urgent requests supporting the emergent needs of the business along with contributing to the long-term data vision.
About the team
The Grocery Retail BI team provides business intelligence and data engineering support across Category Management Merchandising Operations and Retail Operations for Amazons grocery banners. We increase the speed and quality of decision-making through robust data infrastructure scalable self-service solutions and AI-powered tools. The team values intellectual curiosity ownership and a builder mentality collaborating across teams to create capabilities that dont exist yet.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 1 years of SQL ETL or Oracle experience
- 1 years of processing large multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- 1 years of developing automated reporting experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 99500.00 - 160000.00 USD annually
Required Experience:
IC
About Company
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