Business Intelligence Engineer

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 82,300.00 - 144,000.00 USD annually
The North America Customer Delivery Excellence (CDE) team within Amazon Global Delivery Services is seeking a Business Intel Engineer to join our team in Seattle. You will be building world class big data applications to support Amazon transportation and business operations.

Key job responsibilities
Key job responsibilities
As a Business Intelligence Engineer on the CDE team, you will be responsible for:

Building robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
Build and deliver high quality data architecture to support business intelligence engineer and program managers’ reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Drive both business and technology solutions to improve Amazon Inbound visibility.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Translate data into actionable insights for the stakeholders.