Amazon
Business Intelligence Engineer, Grocery Retail & In-Store Experience (GRAISE)
Amazon, San Francisco, California, United States, 94199
Business Intelligence Engineer, Grocery Retail & In-Store Experience (GRAISE)
As a Business Intelligence Engineer II on the Amazon Worldwide Grocery team, you will support analytics and metrics dashboards for in-store products including Amazon Dash Carts, Point of Sale, Self Checkout, Digital Displays, and more. You will partner with product management teams to drive key business decisions, monitor service health, and measure customer engagement through data-driven insights.
Key job responsibilities
Design, develop, and maintain analytics dashboards and reporting solutions that provide actionable insights for in-store product performance
Partner with product managers to define key metrics and success criteria for Amazon Grocery in-store technologies
Build and optimize data pipelines to ensure accurate and timely data collection from multiple sources
Analyze complex datasets to identify trends, anomalies, and opportunities for product improvement
Create visualizations that effectively communicate insights to technical and non-technical stakeholders
Monitor service health metrics and develop alerting mechanisms for critical KPIs
Support A/B testing initiatives to measure the impact of product changes on customer engagement
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
The Grocery Retail and In-Store Experience team owns the products that power checkout and in-store customer engagement, helping shopper save time and money, and enabling store associates to do their jobs more effectively. Products include Dash Cart, Self-Checkout (SCO), Point of Sale (POS), Electronic Shelf Labels, Digital Displays, In-Store Mode for the Amazon app, and more.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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
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.
Posted:
January 13, 2026 (Updated about 4 hours ago)
Posted:
January 8, 2026 (Updated about 15 hours ago)
Posted:
January 13, 2026 (Updated about 16 hours ago)
Posted:
November 21, 2025 (Updated 1 day ago)
Posted:
December 15, 2025 (Updated 1 day ago)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Key job responsibilities
Design, develop, and maintain analytics dashboards and reporting solutions that provide actionable insights for in-store product performance
Partner with product managers to define key metrics and success criteria for Amazon Grocery in-store technologies
Build and optimize data pipelines to ensure accurate and timely data collection from multiple sources
Analyze complex datasets to identify trends, anomalies, and opportunities for product improvement
Create visualizations that effectively communicate insights to technical and non-technical stakeholders
Monitor service health metrics and develop alerting mechanisms for critical KPIs
Support A/B testing initiatives to measure the impact of product changes on customer engagement
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
The Grocery Retail and In-Store Experience team owns the products that power checkout and in-store customer engagement, helping shopper save time and money, and enabling store associates to do their jobs more effectively. Products include Dash Cart, Self-Checkout (SCO), Point of Sale (POS), Electronic Shelf Labels, Digital Displays, In-Store Mode for the Amazon app, and more.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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
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.
Posted:
January 13, 2026 (Updated about 4 hours ago)
Posted:
January 8, 2026 (Updated about 15 hours ago)
Posted:
January 13, 2026 (Updated about 16 hours ago)
Posted:
November 21, 2025 (Updated 1 day ago)
Posted:
December 15, 2025 (Updated 1 day ago)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr