Job Description
Over 2 million Selling Partners list their products for sale on the Amazon Marketplace. Selling Partners are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. These Selling Partners offer hundreds of millions of unique products providing a broad and diverse inventory of products from Books, Electronics and Apparel to Consumables and beyond. In our vision to build a global marketplace, we will enable Selling Partners to list, make their selection available to customers globally while optimizing their inventory placement across multiple countries.

You have a passion for using data in order to drive business actions. You are keen to improve current reporting solutions or innovate by creating new and simpler ones and provide the Marketplace business with robust automated insight. You thrive at analyzing and modelling very large data sets, diving below the surface to identify the root cause and the “so what” rather than just superficial trends. You love participating in cross-functional projects that will directly impact the commercial performance of the business.


Responsibilities include:
· Performing deep-dives to derive actionable insights
· Creating models to predict outcomes and optimize business processes
· Building self-service reporting tools and dashboards
· Providing SQL support and delivering trainings (SQL, Tableau, etc.)
· Participating in and driving cross-functional projects in collaboration with BI teams across Europe and US

BASIC QUALIFICATIONS

· Experience working directly with business stakeholders to translate between data and business needs
· Experience with SQL
· Experience with data visualization using Tableau, Quicksight, or similar tools
· Experience in the data/BI space
· 5 years of work experience as a Business Intelligence Engineer / Data Scientist / Software Developer / Business Analyst
· Working knowledge of a scripting language (e.g. Python, R,
JavaScript)

PREFERRED QUALIFICATIONS

· Advanced Degree in Computer Science, Mathematics, Statistics, Finance, or related field
· Familiarity with AWS services such as S3, Redshift, EMR, Athena, etc.
· Experience with Machine Learning projects