Amazon Cross-border Analytics and Business Intelligence
Business Intelligence, Business Intel Engineer, Retail
BusinessIntelEngineerII
“Business Intel Engineer II at Amazon Cross-border Analytics and Business Intelligence. Skills: Business Intelligence, Data Analysis, Reporting. Own analytical tools. Build business intelligence solutions”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Knowledge of SQL, Knowledge of data warehousing concepts, Advanced skills in Excel, Experience in Statistical Analysis packages, Experience in data mining, Experience in ETL, Using databases in a business environment
Nice to Have
Familiarity with Tableau, Master's degree in BI, Master's degree in finance, Master's degree in engineering, Master's degree in statistics, Master's degree in computer science, Master's degree in mathematics, Master's degree in quantitative field
What You'll Do.
Build business intelligence solutions
Create reporting and analysis
Drive incremental improvement
Drive large scale changes
Create standard metrics reporting
Deliver on ad hoc requests
Link operational metrics to consumer behavior
Provide proactive points of view
Lead design of analytical tools
Lead development of analytical tools
Lead management of analytical tools
Provide thought leadership
Provide business analysis support
Own design of scalable solutions
Own development of scalable solutions
Own maintenance of scalable solutions
Support analytical needs
Support business needs
Develop queries for ad hoc requests
Develop visualizations for ad hoc requests
Develop queries for projects
Develop visualizations for projects
Develop queries for ongoing reporting
Develop visualizations for ongoing reporting
Understand customer needs
Understand customer concerns
Translate business problem statements
Solve complex problems
Drive business decisions
Design outlier deep dives
Drive outlier deep dives
Form actionable recommendations
Manage implementation of recommendations
Write queries efficiently
Identify advanced methods of query optimization
Convert data for analysis
Adopt best practices in reporting
Adopt best practices in analysis
Monitor operational issues
Troubleshoot operational issues
Troubleshoot data issues
How You'll Work.
Team & Collaboration
Work across all teams; Work with internal customers; Work with cross functional teams
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