Amazon. com Services LLC

Business Intelligence, Business Intel Engineer, transportation and logistics

BusinessIntelligenceEngineer

$90–185k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Business Intelligence Engineer at Amazon. com Services LLC. Skills: Business intelligence, Data analysis, Data modeling, SQL. Conduct exploratory data analysis. Uncover insights”

What You'll Achieve.

Improve network capacity; Improve network design; Deliver greatest value; Drive innovation; Leverage data for business value

Industry & Context.

Business Intelligence, Business Intel Engineer, transportation and logistics
Problems you'll solve

Problem-solving; Troubleshoot data discrepancies; Troubleshoot technical issues; Develop solutions

What They're Looking For.

Must Have

5+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python

Nice to Have

Experience with AWS EC2, Experience with AWS DynamoDB, Experience with AWS S3, Experience with AWS Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets

What You'll Do.

Conduct exploratory data analysis

Develop statistical models

Implement statistical models

Perform ad-hoc analysis

Answer business questions

Gather data from sources

Design data integration processes

Implement data integration processes

Ensure data consistency

Develop interactive visualizations

Present data effectively

Ensure compliance with regulations

Stay updated with BI tools

Stay updated with BI technologies

Maintain documentation

Troubleshoot data discrepancies

Troubleshoot technical issues

Contribute to data strategy

Identify opportunities

How You'll Work.

Team & Collaboration

Work closely with stakeholders; Present findings to audiences; Present insights to audiences

Communication Scope

Present findings; Present insights

Full Job Description

Amazon Air operates an air transportation network comprised of 80+ aircraft serving 40+ airports in the United States, enabling us to deliver fast shipments over long distances to Amazon customers, no matter where they live. We also serve an increasing number of external airfreight and express cargo shippers via domestic and international routes. The Amazon Air Speed and Yield Management (SPYM) team is looking for an experienced, creative and strategically-minded Business Intelligence Engineer who can help us understand how we can improve our network capacity and design to deliver the greatest value to all of our customers. The person in this role will drive innovation within and beyond Amazon Air through actionable insights, advanced analytics, and measured experimentation. Key partners include product management, supply chain, research science, operations, and other teams. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in an ambiguous, fast-paced environment. Key job responsibilities Data Analysis: - Conduct exploratory data analysis to uncover insights - Develop and implement statistical models and algorithms - Perform ad-hoc analysis to answer business questions Collaboration and Communication: - Work closely with stakeholders to understand business requirements - Translate business needs into technical specifications - Present findings and insights to both technical and non-technical audiences Data Collection and Integration: - Gather data from various sources (databases, APIs, files, etc.) - Design and implement data integration processes - Ensure data quality and consistency across systems Data Modeling and Optimization: - Write complex SQLs to convert raw data to meaningful metrics - Optimize SQLs for improved performance Report and Dashboard Development: - Develop interactive visualizations to present data effectively Data Governance and Security: - Ensure

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