Amazon
Business Intel Engineer I, Global Operations - Artificial Intelligence
Amazon, Bellevue, Washington, us, 98009
Overview
Business Intel Engineer I, Global Operations - Artificial Intelligence at Amazon is seeking candidates who can excel in a fast-paced environment and drive data-informed decisions. GO-AI remotely handles exceptions in the Amazon Robotic Fulfillment Centers globally, complementing automated vision-based decision-making with human support for tasks requiring higher cognitive ability. This team delivers end-to-end programs at Amazon scale and partners with global technology and operations teams. Key job responsibilities
Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. Building and owning small to mid-size BI solutions with high accuracy and on-time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either taking ownership for their resolution or ensuring a clear hand-off to the right owner. About the team
The Global Operations – Artificial Intelligence (GO-AI) team is an initiative which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision-based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs including Nike IDS, Proteus, Sparrow and other new initiatives in partnership with global technology and operations teams. Basic Qualifications
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Experience applying basic statistical methods (e.g. regression) to difficult business problems Preferred Qualifications
Master\'s degree, or Advanced technical degree Experience with statistical analysis, co-relation analysis Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Excellence in technical communication with peers, partners, and non-technical cohorts 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:
August 25, 2025 (Updated 43 minutes ago) Posted:
August 25, 2025 (Updated 44 minutes ago) Posted:
September 28, 2025 (Updated about 1 hour ago) Posted:
July 3, 2025 (Updated about 1 hour ago) Posted:
August 20, 2025 (Updated about 2 hours 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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Business Intel Engineer I, Global Operations - Artificial Intelligence at Amazon is seeking candidates who can excel in a fast-paced environment and drive data-informed decisions. GO-AI remotely handles exceptions in the Amazon Robotic Fulfillment Centers globally, complementing automated vision-based decision-making with human support for tasks requiring higher cognitive ability. This team delivers end-to-end programs at Amazon scale and partners with global technology and operations teams. Key job responsibilities
Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. Building and owning small to mid-size BI solutions with high accuracy and on-time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either taking ownership for their resolution or ensuring a clear hand-off to the right owner. About the team
The Global Operations – Artificial Intelligence (GO-AI) team is an initiative which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision-based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs including Nike IDS, Proteus, Sparrow and other new initiatives in partnership with global technology and operations teams. Basic Qualifications
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Experience applying basic statistical methods (e.g. regression) to difficult business problems Preferred Qualifications
Master\'s degree, or Advanced technical degree Experience with statistical analysis, co-relation analysis Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Excellence in technical communication with peers, partners, and non-technical cohorts 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:
August 25, 2025 (Updated 43 minutes ago) Posted:
August 25, 2025 (Updated 44 minutes ago) Posted:
September 28, 2025 (Updated about 1 hour ago) Posted:
July 3, 2025 (Updated about 1 hour ago) Posted:
August 20, 2025 (Updated about 2 hours 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