Business Intelligence Engineering Manager

il y a 2 semaines


Luxembourg, Luxembourg Amazon EU Sarl - A84 Temps plein
Experience with SQL

  • Experience with ETL
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing a data or BI team
  • Experience leading and influencing the BI strategy of your team or organization
  • Experience in the data/BI space


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.

Key job responsibilities

  • Develop a team of BIEs and BAs to support the analytics need for Central RME.
  • Define the longterm vision and portfolio of initiatives to improve the customer experience and business results through creating worldclass metrics, analysis, visualizations, and datadriven storytelling.
  • Drive a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs of the business
  • Lead the definition and governance of key business metrics, drive the vision and building of selfservice analytic capabilities, and engineer datadriven processes to reduce maintenance costs.
  • Review latest AWS solutions, develop proof of concept ideas performing cost benefit analysis to develop new product catering to diverse customer needs.
  • Interface with business customers and product managers, gather requirements and deliver accurate, easy to use and scalable Business Intelligence solutions.
  • Establish trade off mechanisms to evaluate BI tool capabilities comprising of tools such as Tableau / Looker / Quicksight to name a few.
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Luxembourg, LUX

  • Experience working with very large data warehousing environment
  • Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and handson SQL coding


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