Group Data Analyst at Evos
Amsterdam Head Office — full-time
About the company: With more than 700 employees at eight terminals in seven key strategic hubs in Europe, we offer tailored storage solutions for liquid energy and chemicals. Every day, we look for better solutions, better service and better performance. We embrace the exciting opportunities ahead of us by combining our strengths, expertise and capabilities with those of our partners. Helping to deliver cleaner energy to empower society. About the IT & OT Team: The Evos IT/OT team is responsible for ensuring secure, stable, and efficient IT and OT operations across all terminals. The department consists of several specialized teams covering IT Security, Business Applications, End User Services, IT Infrastructure, and Operational Technology. These teams work closely together with experienced colleagues and service partners. Data security and governance are embedded in both daily operations and continuous improvement initiatives. About the role: Evos is looking for a Data Analyst enjoys turning data from our terminal operations into meaningful insights, reporting, and operational improvements. Experience with analytics and forecasting is an advantage. This is a versatile role where you will work with data from across our terminals, build and maintain reporting solutions, perform analyses, and share insights with operational, supply chain, and commercial stakeholders. You will learn and grow with the support of an experienced data team. Reporting to the Group BI & Data Manager, you will work in a modern Microsoft data platform environment: Microsoft Fabric, Power BI, SQL, and Python/PySpark. Key responsibilities Build and maintain analytics-ready data models and transformations in Microsoft Fabric (Lakehouse/Warehouse, SQL, PySpark), using version control and CI/CD Build semantic models and Power BI reports (including Direct Lake) that give operational and commercial teams reliable, self-service insights Perform data analyses to explain trends, deviations, root causes, and business performance Support forecasting activities and help identify trends in throughput, tank utilisation, vessel/truck/rail movements, and demand Help identify and quantify operational improvement opportunities, such as turnaround times, capacity utilisation, planning efficiency, and energy consumption Translate business questions into analyses and present clear, actionable insights to stakeholders Contribute to data quality, documentation, and consistent KPI definitions across terminals, in line with data governance and security standards Explore opportunities to apply advanced analytics, AI, and machine learning where they can add business value Work location This role is based in the Netherlands. About you: Experience & knowledge Bachelor’s or Master’s degree in Data Science, Statistics, Econometrics, Operations Research, or a related quantitative field 2–6 years of experience in a data, analytics, or data science role Good SQL and Python skills (e.g. pan