Business Intelligence Engineer, WWGS Retail BI, WWGS Retail BI

Description

Are you passionate about using data to shape how millions of customers experience grocery shopping? Join our Grocery Retail Business Intelligence team as we build the analytics foundation powering Category Management and Merchandising Operations for Amazon's grocery business.
We're seeking a Business Intelligence Engineer to support the teams that make pricing, promotions, selection, assortment, and reset decisions across Amazon's grocery banners. You'll 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 Amazon's 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
You'll split your time between building scalable analytics infrastructure and partnering directly with stakeholders to answer their most pressing questions. Some days you're deep in code building pipelines or prototyping an AI tool; others you're presenting findings to leadership or whiteboarding a measurement framework with cross-functional partners. You'll 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 Amazon's 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 don't exist yet.

Basic Qualifications

- 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

Preferred Qualifications

- 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 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.