Business Intelligence Engineer (L5)

Job description

DESCRIPTION

We are growing and taking on more to make the world safe for ecommerce. Amazon.com's Buyer Risk Prevention team is a centralized technology team that works to make Amazon the safest and most trusted marketplace online and offline for our Buyers by defending Amazon accounts from malicious actors. These systems, invisible to the customer, work seamlessly across the billions of transactions occurring simultaneously around the world. Come build with us! Because of Amazon's huge scale, this a great opportunity to add hundreds of millions to the bottom line and protect Customers everywhere.

We are seeking an innovative, results-oriented, customer-centric BIE to drive expansion of innovative business intelligence solutions globally in the Account Integrity space. As a BIE (L5), you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences.

PREFERRED QUALIFICATIONS

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Desired profile

BASIC QUALIFICATIONS

· Bachelor's Degree in any quantitative discipline such as Statistics, Mathematics, Economics, Computer Science, Operational Research, or a related quantitative field
· Relevant experience in business intelligence or business analyst role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.
· Advanced analytical skills and detail-oriented, while also seeing and understanding the big picture.
· Demonstrated ability to meet deadlines while managing multiple projects.
· Excellent communication and presentation skills working with multiple peer groups and different levels of management.
· Strong skills in accessing and using analytical tools (Excel, Databases, SQL).