BI Engineer I: Data Pipelines & Insights
Socket.dev
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
Amazon's North America CDE team seeks a Business Intelligence Engineer in Seattle with strong data skills and experience in ETL, data modeling, and visualization. You will build scalable data pipelines, deliver BI reporting capabilities, and partner with cross-functional teams to translate data into business insights.
The role emphasizes refining reporting processes, supporting program managers, and driving data-driven decisions to improve transportation and operations across Amazon's global
Qualifications
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL.
- Experience with data visualization using Tableau, QuickSight, or similar tools.
- Experience with one or more analytics visualization tools (Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (t-test, Chi-squared).
- Experience with scripting languages (Python, Java, or R).
- Master's degree or advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis, correlation analysis.
Responsibilities
- Build robust and scalable ETL pipelines using SQL, EMR, Python and Spark.
- Build and deliver high quality data architecture to support BI reporting needs.
- Interface with other technology teams to extract, transform, and load data from multiple sources.
- Drive business and technology solutions to improve Amazon Inbound visibility.
- Continually improve reporting and analysis processes, automating self-service for customers.
- Translate data into actionable insights for stakeholders.
Skills
Education
Tools
Job description
Amazon's North America CDE team seeks a Business Intelligence Engineer in Seattle with strong data skills and experience in ETL, data modeling, and visualization. You will build scalable data pipelines, deliver BI reporting capabilities, and partner with cross-functional teams to translate data into business insights.
The role emphasizes refining reporting processes, supporting program managers, and driving data-driven decisions to improve transportation and operations across Amazon's global
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