DESCRIPTION

Amazon seeks an experienced Business Intelligence Engineer (BIE) to join the Deny Party Screening (DPS) team. Our mission is to prevent denied parties from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries etc. We build automatic mechanisms to detect and prevent prohibited transactions with the denied parties using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day, integrate with Tier 1 systems and deal with unique scaling challenges. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Analytics powered detection and resolution systems to help scale Amazon for years to come.
we are looking for a Sr. BI Engineer with experience in applying analytics to solve complex business problems. The ideal candidate has a demonstrable track record of success in driving business impact through application of analytics. As a BI Engineer, you will work closely with internal stakeholders to perform data analyses, develop complex SQL queries for ad-hoc requests and projects, define metrics through your deep understanding of the business and create self-service dashboards/reports to bring visibility into health of the business. You will exercise your technical skills in SQL, Python or other data analysis tools and visualization tools such as QuickSight in order to produce reports and build dashboards that are flexible and information-rich.

Key job responsibilities
– Interface with business customers to gather requirements, drive reporting or analytic projects to help solve complex challenges.
– Design, implement, and support datasets that provide structured data for reporting and analysis.
– Develop QuickSight dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.
– Use advanced analytics skills to analyze billions of rows of data to find the root causes behind variances and drive business insights.
– Investigate and implement new technologies to provide automatic resolutions to address business needs.

About the team
Denied Party Screening (DPS) is a part of Amazon Security, an organization designed to drive bar-raising security engagements. The vision of the Amazon DPS program is to ensure that 1+ billion Amazon accounts spanning across consumers, sellers, developers, employees, and all other Amazon parties, are not a denied party, located or incorporated in a sanctioned region or country, or owned or controlled by or subject to the jurisdiction of the government of a sanctioned country.

About AmSec:

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

– 10+ years of professional or military experience
– 5+ years of SQL experience
– Experience programming to extract, transform and clean large (multi-TB) data sets
– Experience with theory and practice of design of experiments and statistical analysis of results
– Experience in scripting for automation (e.g. Python) and advanced SQL skills.

PREFERRED QUALIFICATIONS

– Experience working directly with business stakeholders to translate between data and business needs
– Experience managing, analyzing and communicating results to senior leadership
– Knowledge of data warehousing and data modeling
– Master’s degree in statistics, data science, or an equivalent quantitative field
– Experience with AWS technologies
– Experience with theory and practice of information retrieval, data science, machine learning and data mining

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

USA, WA, Seattle