Amazon Web Services, Inc.
Business Intelligence, Business Intel Engineer, Cloud Computing
SrBusinessIntelligenceEngineer,AWSGDSPA&I
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“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
Full Job Description
Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in North America, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. As a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals. The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards. The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with little direction or supervision. Key job responsibilities Lead sales executive discussions to share insights, challenge status quo, and provide forward-looking recommendations that enable strategic decision-making and ac
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