Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Amazon Business Intelligence Engineer Global Procurement Organization 
Luxembourg, Luxembourg 
417769594

12.06.2024
DESCRIPTION


Key job responsibilities
• Manage a portfolio of BI solutions (Data Products, Analysis, Dashboards) related to supplier management (performance & risk management, diversity & inclusion etc. ), work with multiple stakeholders and communicate effectively progress and blockers with the project team and sponsors. Identify high impact business problems and present written recommendations on solutions that will drive the future of EU Ops Procurement
• Design and own processes that are customer centric and will improve the operational efficiency.
• Develop ETL jobs and analytical layers that require in depth knowledge in scripting and OLAP concepts (Data Marts, Data Cubes, Python-Based Data Analysis Layer etc.).
• Implement metadata management and follow core data governance practices
• Develop visualizations that are fast and easy to comprehend.
• Adopt existing best practices or contribute to improving them; solution design, development, validation and documentation practices.
A day in the life
A Business Intelligence Engineer manages requirements from a large group of customers, understands how they operate and is able to build solutions that return the right strategic value back to the organization. Improves the way that customers interact with data and analytics. Works cross functionally, interacting with other tech and non-tech teams globally to align on requirements and solutions. Develops and maintains strong networks and partnerships across organizations, builds trusted relationships. Keeps customers and stakeholders up to date. Innovates in data engineering, analysis, statistics and visualization.
Luxembourg, LUX


PREFERRED QUALIFICATIONS

- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with forecasting and statistical analysis