Business Intelligence Engineer, WWGS Retail BI, WWGS Retail BI
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- 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
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
