Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, worldwide grocery stores
BusinessIntelligenceEngineer,WWGSRetailBI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer, WWGS Retail BI at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, ETL Pipelines, Data Modeling. Design automated ETL pipelines. Implement automated ETL pipelines”
Industry & Context.
Complex problem-solving; Ambiguous challenges; Data-driven decisions
What They're Looking For.
Must Have
3+ years analyzing data, 1+ years SQL, 1+ years ETL, 1+ years Oracle experience, 1+ years processing large datasets, 1+ years performing statistical analysis, 1+ years developing automated reporting, Experience with data visualization, Experience with Tableau, Experience with Quicksight
Nice to Have
Experience with AWS solutions, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience using databases in business environment
What You'll Do.
Design automated ETL pipelines
Implement automated ETL pipelines
Implement data models
Design reporting solutions
Implement reporting solutions
Build self-service dashboards
Build analytics tools
Develop AI-powered solutions
Improve stakeholder access to data
Accelerate time-to-insight
Write high-quality SQL
Retrieve complex datasets
Analyze complex datasets
Join data sources reliably
Recommend 'what to do next'
Translate business requirements
Implement data quality monitoring
Implement documentation practices
How You'll Work.
Team & Collaboration
Partner with Finance; Partner with Tech; Partner with Retail teams; Cross-functional partners
Communication Scope
Presenting findings; Whiteboarding measurement frameworks
Full Job 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
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