Amazon Business Intelligence Engineer Demand Forecasting Selling Partner Support 

United States, Washington, Seattle 

659605312

BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of hands-on analytics work experience, with proven quantitative orientation
- 3+ years of work experience using business intelligence tools like Tableau, QuickSight, PowerBI, etc. as well as advanced skills in Excel
- Hands on experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- 2+ years of work experience in hands-on forecast modeling and statistical analysis
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 2+ years of professional experience in building demand forecasting models or equivalent field
Key job responsibilities
Key job responsibilities:
- The role requires technical agility with understanding of forecasting methods and models
- Owning the analytics space including the BI architecture to support Forecast Planning cycles
- Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key forecast and planning decisions
A day in the life

- 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

- 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
- 2+years of professional experience in building demand forecasting models or equivalent field