Business Intelligence Engineer, Speed and Long-term Planning

at  Amazon EU SARL

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience with SQL
• Experience in the data/BI space
  Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you!
  The team: Global transportation services, Speed and Long-term Planning
  Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. Fulfillment acceleration is one of those Global transportation analytical team. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day.

Key job responsibilities

• Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support design speed strategy in Europe and North America
• Turn data into actionable business insights to improve complex tech systems in supply chain. and work with partner teams to prioritize fixing system defects.
• Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies.
• Perform deep-dives and data analysis using SQL ( >10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision
• Lead regular business review with partner teams to monitor the progress of projects in the roadmap.
• Consolidate progress into crisp and concise data-driven status updates.

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

Luxembourg, LUX

• Bachelor or Master’s degree, or Advanced technical degree
• 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

• Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support design speed strategy in Europe and North America
• Turn data into actionable business insights to improve complex tech systems in supply chain. and work with partner teams to prioritize fixing system defects.
• Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies.
• Perform deep-dives and data analysis using SQL ( >10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision
• Lead regular business review with partner teams to monitor the progress of projects in the roadmap.
• Consolidate progress into crisp and concise data-driven status updates