Amazon Web Services, Inc.
Technology
Sr.BIE,AWSSpecialistsandPartnersOperations
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. BIE, AWS Specialists and Partners Operations at Amazon Web Services, Inc.. Skills: Data Engineering, Business Intelligence, Machine Learning, Data Analytics. Design and implement data pipelines. Develop and maintain ETL processes”
Industry & Context.
Data analysis; Troubleshoot data issues
What They're Looking For.
Must Have
5+ years of experience in Business Intelligence or Data Analytics, Proficiency in SQL, Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
Nice to Have
Master's degree preferred, Experience with AWS cloud platform, AWS Data Analytics certification preferred
What You'll Do.
Design and implement data pipelines
Develop and maintain ETL processes
Build and optimize data models
Create and manage BI dashboards
Perform data analysis
Develop machine learning models
Collaborate with stakeholders
Ensure data quality and integrity
Troubleshoot data issues
Document data processes and models
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Business stakeholders
Full Job Description
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Partner Analytics & Reporting Knowledge (PARK) team, within the AWS Specialists & Partners Operations Org (ASP Ops), has an immediate need for a creative and driven Sr Business Intelligence Engineer (BIE). Key job responsibilities As a Sr Business Intelligence Engineer on this team, you will design and build agentic reporting solutions that go beyond static dashboards — creating intelligent, extensible data artifacts that surface actionable insights autonomously. You will embed deeply with business stakeholders across the AWS Partner organization to understand their highest-priority questions, then engineer reporting workloads that answer those questions proactively, at scale. You are technically versatile (ETL, Python, SQL, visualization) and relentlessly focused on business impact. Your deliverables will accelerate the partner organization by identifying key drivers behind top-line metrics and translating them into clear next steps for sales and leadership teams. Key Job Responsibilities Build agentic reporting solutions — Design, develop, and operate intelligent reporting workloads that autonomously generate, refresh, and distribute actionable data artifacts across the partner organization. Create extensible, actionable data artifacts — Engineer centralized reporting assets (metrics, dashboards, automated analyses) built for reuse by peer BI teams, with clear interfaces and scalable architecture. Get closer to the business — Partner directly with executive leadership and geogra
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