Business Intel Engineer II - AMZ9675631
About The Position
This role supports senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. The engineer will research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Responsibilities include utilizing database technologies such as SQL, ETL, and Oracle to design, develop, and evaluate innovative business intelligence tools and automated reports for campaign targeting and optimization. The role involves transforming complex business problems into mathematical models and providing data-driven solutions, performing statistical analysis (clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS), and establishing scalable, efficient, automated processes for large-scale data analyses, model development, validation, and 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.
- Alternatively, 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.
- One year of experience using SQL, ETL or Oracle.
- One year of experience processing large, multi-dimensional datasets from multiple sources.
- One year of experience developing automated reporting.
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.
Benefits
- Equity
- Sign-on payments
- Other forms of compensation as part of a total compensation package
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
