Description

　　Does data platform standardization and data engineering automation driving analytics and reporting excite you? Do you thrive in a fast paced, ambiguous environment, enjoy transforming data into actionable recommendations, implement data governance standard practices, define best practices of data access, quality, consistency and innovate to deliver world-class business intelligence? If yes, then look no further! The Worldwide Operations Finance Standardization & Automation (SnA) team is looking to hire a focused & customer-centric Business Intelligence Engineer to establish a standardized data platform with clean, reliable and accessible data feeds allowing Operations Finance customers to trust the data, technology and the tools and help become more data aware and make data-driven business decisions.

　　Key job responsibilities

　　The ideal candidate is a seasoned data professional with strong bias for action, data modeling, ETL, SQL and scripting skills. In this role you will help identify complex business problems, identify opportunities and implement solutions to improve Operations Finance facing systems, processes and tools. The successful candidate will be a self-starter, quick learner, comfortable with ambiguity, result oriented with strong attention to detail, insists on high standards, shows ability in decision making and ready to adapt in a fast paced business changing circumstances. You will be responsible for setting data modeling standards, building complex data pipelines, building and maintaining multiple databases, identify complex/abstract problems and discovering insights through the use of statistical, data mining and visualization techniques. Further, you will help automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate these insights in real time to the business teams. Successful members of this team collaborate effectively with business customers, cross-functional data management teams to solve problems, and implement new solutions.

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

　　Luxembourg, LUX

　　Basic Qualifications

　　Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

　　5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience writing complex SQL queries

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

　　Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

　　Experience in Statistical Analysis packages such as R, SAS and Matlab

　　Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

　　Preferred Qualifications

　　Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

　　Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

　　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.