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Business Intelligence Engineer II - AMZ1080

Business Intelligence Engineer II - AMZ1080

Job ID 
303328
Location 
US-WA-Seattle
Posted Date 
4/27/2015
Company 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 
..

Job Description

MULTIPLE POSITIONS AVAILABLE
Company: Amazon Corporate LLC
Location: Seattle, Washington
Position Title: Business Intelligence Engineer II
Position Responsibilities:

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.

Basic Qualifications

Position Requirements:
Master’s degree or foreign equivalent in Computer Science, Computer or Electrical Engineering, Mathematics Statistics, Economics, or a related quantitative 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, Computer or Electrical Engineering, Mathematics, Statistics, Economics, or a related quantitative 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. One year of experience in the job offered or a related occupation must involve: using database technologies, including SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.

Preferred Qualifications

All applicants must meet the above listed requirements for this position.