Business Intelligence Engineer, International Seller Services

Job description

DESCRIPTION

Amazon's International Seller Services (ISS) organization is seeking an experienced Business Intelligence Engineer with excellent statistical and analytical abilities as well as data engineering skills. You are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for turning qualitative analysis and observations into diagnostics and metrics? Then you are the right candidate for our team.

In this position, you will be a key contributor responsible for developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. You will be part of a global team that is focused on acquiring new self-service merchants from around the world to sell on Amazon's global marketplaces around the world. The position is based in Seattle, but will interact with global leaders and teams in Europe, Japan, China, Australia, and other regions. You will also have the opportunity to display your skills in the following areas:

Be a thought leader: Interface with business partners, architect, design, implement, and support BI projects & tools that derive insights and shape important, worldwide business decisions.
Dive Deep, Raise the bar and insist on high standards: Recognize and adopt best practices in analysis and reporting, data integrity, test design, analysis, validation, and documentation. Support your leadership team with deep-dives and insights that improve our performance and productivity, so we can serve our customers even better.
Deliver Results: Be inspired by the motto of Customer First, use outstanding business acumen, technical and analytical skills to drive real, actionable results.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline
· 2+ years of relevant experience in business intelligence role, or post-graduate degree in an analytical field and 1+ year of relevant experience in business intelligence role
· Experience with data warehousing and business intelligence tools, techniques and technology
· Experience analyzing data or technical issues to create effective solutions
· Experience with analytics, business analysis, or comparable consumer analytics solutions
· Experience with SQL, Relational databases, and/or Big Data
· Experience with data warehousing concepts and coding in at least one modern programming language (Python, Ruby, Java)
· Experience with data mining, including ETL, and using databases in a business environment with multiple datasets
· Experience using business intelligence reporting tools like QuickSight and Tableau