Amazon Business Intelligence Engineer II Chronicle 

United States, Washington, Seattle 

384245132

In this role you will be responsible for solving complex and ambiguous data and metric problems. You will influence business-critical questions across multiple organizations and geographies. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity and advocate on behalf of the customers.
- Be able to manage multiple projects - including planning, prioritization, and task delegation
- Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation
- Define data driven approaches and metrics strategy to uncover new insights- Be able to clearly communicate strategic findings and recommendations

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 3+ years of professional experience in a business analyst/data analyst/statistical analyst role
- 2+ years experience with SQL, ETL, Data Warehouse solutions and databases
- Experience with statistical analytics and programming languages such as Python
- Advanced skills in data visualization tools like Tableau or similar BI tools
- Ability to effectively communicate with both business and technical teams

- Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
- 5+ years of industry experience working as a BIE or related specialty
- Proficient in statistical programming language (e.g., Python) for data extraction/ manipulation, statistical analysis/modeling, and automation
- Understanding of data warehousing and data modeling
- Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift