Amazon Web Services, Inc.
Technology
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer at Amazon Web Services, Inc.. Skills: Business Intelligence, Data Engineering, Data Visualization, Reporting. Explore AWS technologies. Contribute to Agentic reporting development”
Industry & Context.
Actionable insight; Key drivers; Finding the Why
What They're Looking For.
Must Have
2+ years analyzing data with Redshift, Oracle, NoSQL, Experience with data visualization using Tableau, Quicksight, or similar, Experience with industry analytics visualization tools and statistical methods, Experience with scripting language (Python, Java, or R), Familiarity with Agentic AI concepts, LLMs, or Generative AI tooling
Nice to Have
Master's degree or Advanced technical degree, Knowledge of data modeling, Knowledge of data pipeline design, Experience with statistical analysis, Experience with co-relation analysis, Experience in Sales Operations analytics environment
What You'll Do.
Explore AWS technologies
Contribute to Agentic reporting development
Implement data pipelines from disparate sources
Gather and understand data requirements
Achieve high-quality data solutions
Dive deep into requirements
Unearth optimal reporting design
Drive technical discussions
Build end-to-end BI solutions
Determine data lineage
Build enablement material
Create interactive data visuals
Contribute to knowledge repositories
Support Executive Reporting
Perform in-depth analyses
Provide standardized reporting sources
Participate in causation/correlation research
Provide proactive insight into trends
Identify churn drivers
Identify actionable levers
Build scalable reporting artifacts
Tell the Partner ecosystem story
Create trusted data artifacts
Act as SME on metric drivers
Communicate actionable insights
Contribute to Agentic reporting development
Contribute to knowledge curation
Contribute to causation research
Build reporting that is transparent
Build reporting that is precise
Build reporting tailored for personas
How You'll Work.
Team & Collaboration
Cross-functional teams; Operations leads; Sales stakeholders; BI Teams
Communication Scope
Business communication; Technical discussions; Executive reporting; Stakeholder communication
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 Specialist and Partners (ASP) organization sits at the heart of this mission, working with partners to extend the reach and impact of AWS globally. The Partner Analytics and Reporting Knowledge (PARK) Team has an immediate need for a creative and driven Business Intelligence Engineer (BIE). PARK is a centralized BI team within the ASP Operations BI organization, chartered to transform structured and unstructured data into actionable business insights for the ASP. We identify internal and external business signals, research their impacts, and deliver contextualized reporting tailored for Agentic delivery to specific customer personas. The right candidate will be innovative and technically versatile. They will have the opportunity to work in a fast-paced cloud sales organization within Amazon, using a vast warehouse of data to find actionable insight and key drivers behind the ASP's most visible metrics. This candidate should be an expert in the architecture and implementation of data processing solutions using multiple platforms. They should excel in the design, creation, management, and business use of extremely large datasets. The role requires excellent business and communication skills to work effectively with fellow BIEs, Operations leads, and Sales stakeholders to consult as a reporting subject matter expert and provide innovative reporting solutions. The ability to learn new technology, develop deep understanding of how the ASP operates and its latest strategic priorities, and contribute to the development of Agentic reporting tools is critical to the role. Key job responsibilities Explore and learn the latest AWS technologies and contribute to the team's Agentic reporting development initiatives. Implement data pipelines from
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