Business Intel Engineer II - AMZ
Listed on 2026-06-11
-
Engineering
Data Engineering, Data Science Manager
Job : | Amazon Web Services, Inc.
- A97
Employer:
Amazon Web Services, Inc.
Position:
Business Intel Engineer II - AMZ
27009.1
Location:
Atlanta, GA
Multiple Positions Available
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization.
Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
(40 hours / week, 8:00am-5:00pm, Salary Range $99500 - $160000)
is an Equal Opportunity – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Basic QualificationsMaster's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience.
Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
All applicants must meet all the above listed requirements.
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