Senior Business Intel Engineer

Senior Commercial Intel Engineer, Global Procurement Organization

At Global Recruitment, we are committed to being the world's most customer-centric company. To achieve this, we need extraordinary talent. Global Recruitment is seeking a Senior Business Intelligence Engineer to join the Global Procurement Excellence (Global Recruitment), Business Intelligence (BI) team. Global Recruitment is part of the Global Procurement Organization (GPO). It is Global Recruitment’s only channel to create, deliver and maintain core procurement capabilities globally while implementing best-in-class S⚠P policies, processes and digital solutions. This pillar promotes efficiency, control, and compliance and consistently delivers a user- and supplier-centric procurement experience across teams, companies, and geographies. BI provides procurement leaders with metrics-driven capabilities through reporting and analytics products that are secure, powerful, scalable, and sustainable. We let the data speak for itself. Providing an Global Recruitment-standard customer experience is very important to us. We build trust with executives and deliver the analysis they need in a timely, high-quality manner. Actionable analytics is part of our culture and we insist on timely, accurate, scalable and actionable business intelligence.

The Senior Business Intelligence Engineer should be able to handle a fast-paced environment and handle multiple deliverables while also being able to effectively prioritize and effectively communicate progress and impediments. Manage a portfolio of BI solutions related to supplier risk and performance management, collaborate with multiple stakeholders, and effectively communicate progress and impediments to project teams and sponsors. Identify serious business issues and make written recommendations on solutions that will drive the future of EU operational procurement design and processes, be customer-focused and improve operational efficiency. Developed ETL jobs and analysis layers that required in-depth understanding of scripting and OLAP concepts (data marts, data cubes, Python-based data analysis layer, etc.). Implement metadata management and follow key data governance practices. Develop visualizations that are fast and easy to understand. Adopt existing best practices or work to improve them; solution design, development, validation, and documentation practices.

A Day in the Life

A Senior Business Intelligence Engineer manages the needs of a large number of customers, understands how they work, and is able to develop solutions that deliver the right strategic value to the business. Improve how customers interact with data and analytics. Work cross-functionally and interact with other technical and non-technical teams around the world to coordinate requirements and solutions. Develop and maintain strong networks and partnerships across the organization and build trusting relationships. Keep customers and stakeholders informed. Innovations in data technology, analytics, statistics and visualization.

About the Team

Global Recruitment BI empowers procurement leaders with metrics-driven capabilities through reporting and analytics products that are secure, powerful, scalable, and sustainable. We let the data speak for itself. Providing an Global Recruitment-standard customer experience is very important to us. We build trust with executives and deliver the analysis they need in a timely, high-quality manner.

We welcome candidates to work in one of the following locations: Luxembourg, LUX

Basic Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Data warehousing and data modeling knowledge
• Ability to extract, transform and cleanse large data
• Programming experience (multi-terabyte data sets)
• Experience with automation scripts (e.g. Python) and advanced SQL skills.
• Experience with AWS technologies.
• Experience with cloud storage and computing technologies such as AWS Redshift, S⚠, Hadoop, etc.
• Experience with data visualization tools using Tableau, Quicksight, or similar technologies.
• Experience creating metrics and reporting solutions.

Priority Qualifications

• Experience managing and analyzing and communicating results to management.
• Theoretical and practical experience in information retrieval, data science, machine learning and data mining.
• PhD in statistics, data science, or equivalent quantitative field.