Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, alexa and amazon devices
BusinessIntelligenceEngineer,DSCLBI
“Business Intelligence Engineer, DSCL BI at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, SQL, Python. Engage with leadership and diversified functional groups to. Recommend business intelligence solutions”
What You'll Achieve.
Drive key business decisions; Improve business KPIs
Industry & Context.
Data-driven decisions; Business problems; Data issues
What They're Looking For.
Must Have
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, writing complex SQL queries, Experience using SQL to pull data from a database or data warehouse, scripting experience (Python) to process data for modeling
Nice to Have
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift, Experience in data mining, ETL, etc., using databases in a business environment with large-scale, complex datasets, Experience with forecasting and statistical analysis
What You'll Do.
Engage with leadership and diversified functional groups to
Recommend business intelligence solutions
and maintenance of metrics
Drive key business decisions
Partner with technology teams to define
Automate and simplify self-service or reporting pipelines
Improve ETL workflows
Implement automatic alarming
Perform performance tuning
Conduct deep dive analyses of business problems and
Formulate conclusions and recommendations for leadership and technical
Participate in strategic and tactical planning discussions
Provide data insights
Challenge business teams to think differently about data
Make recommendations for new metrics
Improve business KPIs
Be connected and influential within the Amazon BIE
Work with Data engineering and Software development teams
Develop and implement AI/ML models to enhance predictive
Automate decision-making processes
Lead integration of generative AI tools to streamline
Improve data visualization
Design and implement AI-powered anomaly detection systems
Create intelligent automation solutions using AI to reduce
Partner with AI/ML teams to develop and deploy
Stay current with emerging AI technologies
Evaluate potential application of AI in improving BI
Build and maintain AI-driven self-service analytics platforms
Democratize data access across the organization
Understand a broad range of Supply Chain &
Partner with internal stakeholders across multiple teams
Deliver end to end solutions
Partner with Data Engineering and Software Development Engineers
Formulate conclusions and determine optimized courses of action
Deliver comprehensive BI solutions
Synthesize requirements into technical specifications
Solve ambiguous business problems
Outline Analytics solution
develop and maintain scalable and reliable analytical
Simplify and automate reporting and metrics
Build solutions for maximum scale and self-serviceability
Recognize and adopt best practices in reporting and
Handle multiple projects at once
Deal with ambiguity and rapidly-changing priorities
Lead and develop a team of Business Intelligence
How You'll Work.
Team & Collaboration
Cross-functional databases; Business customers; Technology teams; Data Engineering; Software development teams; AI/ML teams; Internal stakeholders; Data Engineering and Software Development Engineers
Communication Scope
Business owners; Leadership; Technical teams; Business teams
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