Senior Business Intelligence Engineer, SCOT Selection

Job Description

Amazon is seeking a Senior Business Intelligence Engineer to join the SCOT Selection team. This role is pivotal in building next-generation metrics and driving business analytics for selection. The team is responsible for models and systems that make selection decisions worldwide. As a Business Intelligence Engineer, you will develop metrics for new products, create deep dive analytics tools, and drive the strategy on data visualization for the group. You will own the development and support of key business metrics while continuing to raise the bar for creating scalable, efficient, and automated processes for large-scale data analysis.

Key Responsibilities

• Write expert-level SQL to extract actionable insights from some of the world’s largest datasets.
• Dive deep to help drive key business decisions through data insights and improve a wide range of internal products.
• Own the design and development of automated solutions for recurrent reporting and in-depth analyses, including learning, publishing, and managing our operational business metrics decks.
• Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers.
• Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Basic Qualifications

• 5+ years of SQL experience.
• 5+ years of professional or military experience.
• Experience programming to extract, transform, and clean large (multi-TB) data sets.
• Experience in scripting for automation (e.g., Python) and advanced SQL skills.
• Experience with AWS technologies.
• Experience with the theory and practice of information retrieval, data science, machine learning, and data mining.
• Experience with the theory and practice of design of experiments and statistical analysis of results.

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs.
• Experience managing, analyzing, and communicating results to senior leadership.

About Amazon

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.