Amazon
Business Intelligence Engineer, Deal Tooling and Insights, Strategic Customer En
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Deal Tooling and Insights, Strategic Customer Engagements
Job ID: 2780094 | Amazon Web Services, Inc.Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions?
If so, we are looking for a Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges through data analytics. Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and help them meet their desired business outcomes while ensuring alignment with AWS business objectives.
Key job responsibilities
In this role, you will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable insights to senior leadership. You will own suite of metrics for Weekly/Monthly business reporting, establish automated processes for large scale data analyses and create net new metrics to measure the health of the business. You will drive the development of new self-service reporting mechanisms to help scale and optimize the reporting processes across the organization. You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives. You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:
November 23, 2024 (Updated about 14 hours ago)
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Job ID: 2780094 | Amazon Web Services, Inc.Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions?
If so, we are looking for a Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges through data analytics. Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and help them meet their desired business outcomes while ensuring alignment with AWS business objectives.
Key job responsibilities
In this role, you will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable insights to senior leadership. You will own suite of metrics for Weekly/Monthly business reporting, establish automated processes for large scale data analyses and create net new metrics to measure the health of the business. You will drive the development of new self-service reporting mechanisms to help scale and optimize the reporting processes across the organization. You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives. You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:
November 23, 2024 (Updated about 14 hours ago)
#J-18808-Ljbffr