Amazon Web Services, Inc.
Business Intelligence, Business Intel Engineer, Cloud Computing
SrBusinessIntelligenceEngineer,AWSGDSPA&I
“Sr Business Intelligence Engineer, AWS GDSP A&I at Amazon Web Services, Inc.. Skills: Business Intelligence, Data Analytics, Data Engineering, Machine Learning. Lead sales executive discussions. Share insights”
What You'll Achieve.
Achieve highest standards; Provide performance reporting; Provide actionable insights; Provide decision support; Achieve goals; Accelerate Private Pricing growth; Deliver actionable intelligence; Deliver timely recommendations; Drive operational excellence
Industry & Context.
Solve thorny business challenges; Data-driven decision making
What They're Looking For.
Must Have
10+ years professional experience, 5+ years SQL experience, 5+ years ETL experience, 5+ years Oracle experience, Programming to extract data, Programming to transform data, Programming to clean data, Design of experiments, Statistical analysis of results, Scripting for automation, Advanced SQL skills, Information retrieval, Data science, Machine learning, Data mining, 5+ years analyzing data, 5+ years interpreting data, Redshift experience, NoSQL experience, Tableau Desktop experience, Quicksight experience, Data visualization software experience, Data modeling, Data warehousing, Building ETL pipelines
Nice to Have
Experience with business stakeholders, Managing results, Analyzing results, Communicating results to leadership, Leading process improvements, Managing competing priorities, Iterative development methodologies, Agile development methodologies, Scrum, AWS solutions experience, EC2 experience, DynamoDB experience, S3 experience, Redshift experience, Data mining experience, ETL experience, Using databases in business
What You'll Do.
Lead sales executive discussions
Provide forward-looking recommendations
Enable strategic decision-making
Accelerate Private Pricing growth
Design business analytics frameworks
Maintain business analytics frameworks
Own quantitative analysis
Develop expertise in sales metrics
Develop expertise in reporting tools
Develop expertise in data architectures
Identify data quality issues
Resolve data quality issues
Deliver actionable intelligence
Design analytical tools
Build collaborative relationships
Identify reporting gaps
Design automated analytical tools
Deploy automated analytical tools
Streamline business reviews
Streamline annual planning
Streamline forecasting processes
Create operational templates
Create standardized processes
Consolidate disparate data sources
Execute complex ad hoc analyses
Deliver timely recommendations
Architect new mechanisms
Architect business processes
Standardize workflows
Drive operational excellence
How You'll Work.
Team & Collaboration
Cross-functional teams; Diverse teams; Sales teams; Finance teams; Sales operations teams; Cross-functional teams; Business units
Communication Scope
Communicate effectively; Present insights; Communicate results
Process & Methodology
Agile development methodologies, Scrum
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