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Amazon Senior Business Intelligence Engineer NCRC Science Analytics 
United States, Washington, Bellevue 
565015936

10.07.2024
DESCRIPTION

As a sr. BIE on the NCRC team within Amazon Returns and Recommerce, you will be a part of the Science and Analytics team collaborating with a group of Analysts, Economists, and other Engineers. You will have an opportunity to participate and innovate across the engineering landscape, starting from ingestion, storage, processing and reporting. You will partner closely with analysts and economists in the pursuit of investigative data. You will educate and train customers to self-serve , present in new forms, explore reporting options and innovate. You will participate in business reviews and new-initiatives. You should be able to identify and help close gaps in the information available, as well as predict up-and-coming -needs when participating in discussions about new products or features.Key job responsibilities- Translate basic business problem statements into analysis requirements.
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
- Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.
- Troubleshoot operational data-quality issues.
- Review and audit existing ETL jobs and queries.
- Recommend improvements to back-end data sources for increased accuracy and simplicity.
- Drive best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.


BASIC QUALIFICATIONS

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining