Description

Want to work for a truly global reliability team? This is an opportunity with Central RME to expand your knowledge and support a great analytics team. Amazon strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated, and friendly work environment.

We're looking for a curious Business Intelligence Engineering interested in working in a multi-disciplinary team of business intelligence engineers, business analysts, TPM’s and product managers. In this role, you will work on an analytical team to bust myths, create insights, and produce recommendations to help Central RME to deliver world class service to the Amazon network. As part of the team will be involved in all phases of research, experiment, design and analysis, including defining research questions, designing experiments, identifying data requirements, and communicating insights and recommendations. You'll also be expected to continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics. All of this work is performed in close coordination with PMs and BI Managers. These are exciting fast-paced businesses in which we get to work on extremely interesting analytical problems, in an environment where you get to learn from other engineers and apply econometric, statistics, and machine learning at a massive scale.

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

Basic Qualifications

• Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field

• Experience with SQL

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

• Experience with scripting language (e.g., Python, Java, or R)

• Experience in the data/BI space

• Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)

Preferred Qualifications

• Master's degree, or Advanced technical degree

• Knowledge of data modeling and data pipeline design

• Experience with statistical analysis, co-relation analysis

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.