Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, transportation and logistics
BusinessIntelligenceEngineer,NorthAmericaTransportation
“Business Intelligence Engineer, North America Transportation at Amazon.com Services LLC. Skills: Business intelligence, Data pipelines, Data modeling, Machine learning. Develop dashboards. Maintain dashboards”
What You'll Achieve.
Move packages faster; Move packages accurately; Move packages at lower cost
Industry & Context.
Resolve data quality issues; Troubleshoot data issues
What They're Looking For.
Must Have
1+ years analyzing data with Redshift, 1+ years analyzing data with Oracle, 1+ years analyzing data with NoSQL, Experience with analytics visualization tools, Experience with statistical methods, Experience with scripting language
Nice to Have
Master's degree in Engineering, Master's degree in Computer Science, Master's degree in Machine Learning, Master's degree in Operations Research, Master's degree in Statistics, Knowledge of data engineering pipelines, Knowledge of cloud solutions, Knowledge of ETL management, Knowledge of databases, Knowledge of visualizations, Knowledge of analytical platforms, Experience building data flows, Experience maintaining data flows, Experience building data pipelines, Experience maintaining data pipelines, Bachelor's degree in logistics, Bachelor's degree in transportation, Bachelor's degree in supply chain, Bachelor's degree in business, Knowledge of version control systems, Experience with AWS data services
What You'll Do.
Develop visualizations
Maintain visualizations
Collaborate with business teams
Translate operational questions
Deliver actionable insights
Design data pipelines
Deploy data pipelines
Perform SQL-based transformations
Monitor pipeline health
Resolve data quality issues
Develop curated datasets
Maintain curated datasets
Document data sources
Document business logic
Document transformation rules
Document dataset logic
Implement automation opportunities
How You'll Work.
Team & Collaboration
Cross-functional business teams; Network design teams; Planning teams; Delivery operations teams; Linehaul teams; Applied Scientist collaboration
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