Amazon Business Intelligence Engineer Amazon 

United States, Washington, Bellevue 

599937721

Key job responsibilities
- Design automated processes for in-depth analysis databases.
- Design automated data control processes.
- Improve tools, processes, scale existing solutions, create new solutions as required based on stakeholder needs.- Participate in annual budgeting and forecasting efforts.
- Perform monthly variance analysis and identify risks & opportunities.
A day in the life
Work with the largest dataset in logistics management in the world to drive business insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable reporting solutions to integrate with multi heterogeneous data sources to retrieve, curate & aggregate data that can be used in reporting, analysis, ML models, GenBI and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies.

- 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 modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

- 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
- Experience with forecasting and statistical analysis
- Experience in discovering business requirements and creating insightful dashboards tailored for various levels of the organization, including senior leadership.