Business Intel Engineer II - AMZ9573369

Amazon • Santa Clara, CA

6d

About The Position

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.

Requirements

• Master's degree or foreign equivalent degree 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 degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate 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): (1) using SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) performing statistical analysis; and (4) developing automated reporting.

Nice To Haves

• Please see job description and the position requirements above.

Responsibilities

• managing metrics reporting
• performing mathematical and statistical modeling to produce business forecasts
• researching, designing, and developing new forecasting technologies
• design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization
• transforming complicated business problems into mathematics modeling and provide data-driven solutions
• performing statistical analysis, including clustering, cross-session and panel data regression
• establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation

Benefits

• equity
• sign-on payments
• medical, financial, and/or other benefits
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level