Come build the future with us. What unites all Amazonians across teams and geographies is that we all strive to delight Customers and make their lives easier.
Together we are building the future, one innovative product, service, and idea at a time.
Amazon’s seller marketplace is home to more than two million small businesses, individual sellers and household names who reach tens of millions of potential customers.
These customers can choose from more than 120 million products and this vast choice is only possible because of the many entrepreneurial, third-party businesses who offer their products on the platform.
Today more than 50% of worldwide purchases from Amazon’s sites are made from third party sellers.
Position Summary & Responsibilities
Amazon currently seeks a creative, dynamic and motivated Sr Business Intelligence Engineer to join EU Marketplace Expansion team at its EU headquarter, based in Luxembourg.
The ideal candidate thrives in working with large and complex data warehouse environments and has excellent verbal and written communication skills.
S / he is motivated by developing innovative and simplified solutions to solve complex analytical problems using very large datasets and is passionate about working with large datasets and bringing data together to answer business questions and drive change.
S / he loves participating in cross-functional projects that will directly impact the commercial performance of the business
Responsibilities include :
Create innovative reports and provide insights as to how improve CX and SX in EU Countries.
Analyze and solve business problems at their root, stepping back to understand the broader context
Develop metrics to assess performance and drive improvement, providing clear, compelling management reporting on a regular basis.
Build out, maintain, optimize and support our Redshift-based data mart
Support and troubleshooting of SQL and data warehouse ETL jobs
3+ years of hands-on industry experience in in business intelligence, data mining, predictive analytics and statistical analyses.
Advanced degree in Computer Science, Mathematics, or related field
Proficiency in data processing on relational databases (Oracle, SQL Server, Redshift, etc.)
Experience in working ETL and DW processes (working with large datasets in particular)
Excellent troubleshooting and problem solving skills
Advanced SQL, database, and business intelligence experience
Highly organized and ability to complete a high volume of tasks and projects with limited guidance and tight deadlines
Excellent verbal and written communication skills including technical writing
Fluency in English is required
Strong team player and the ability to work in a diverse environment with people in various locations
Impeccable attention to detail, passion for processes, systems and database development
Advanced Degree in Economics, Statistics, Econometrics, Mathematics or related quantitative field or MBA with a concentration in Quantitative Analysis.
Experienced working in a fast-paced, high-tech environment
Candidates with experience in Amazon Redshift will be favored