Amazon Web Services, Inc.

Technology

BusinessIntelligenceEngineer

$82–144k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Technology
Problems you'll solve

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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