Business Intel Engineer III - AMZ26595.1

About the role

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.

Responsibilities

• Manage metrics reporting and perform mathematical and statistical modeling to produce business forecasts
• Research, design, and develop new forecasting technologies to support business functions
• Utilize database technologies such as SQL, ETL, and Oracle to design, develop, and evaluate business intelligence tools and automated reports
• Transform complex 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

Requirements

• Master’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
• 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
• One year of experience in using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting

Qualifications

• Must have a Master’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
• Must have 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 using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting

Skills

• Using SQL, ETL or Oracle
• Processing large, multi-dimensional datasets from multiple sources
• Performing statistical analysis
• Developing automated reporting

Benefits

Salary Range: $143400 - $194000 (yr)

Pay is based on market location and may vary depending on job-related knowledge, skills, and experience.

A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered.

Pay

Base pay range for this position in New York City is USD $143400 - $194000 (yr).

Schedule

(40 hours / week, 8:00am-5:00pm)

Company

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation