Description Are you passionate about turning complex data into powerful insights? At the forefront of the maritime industry’s transition towards smarter, more sustainable operations, our Global Fuel Purchasing team is looking for a forward-thinking Data Analytics and Digital Transformation Manager. Join us and play a key role in shaping the future of global fuel strategy, working in a dynamic, innovative and collaborative environment. Responsibilities Design, implement, and maintain data analytics solutions to support strategic fuel purchasing decisions, with a focus on optimization and performance management Drive the ongoing development and optimization of the in-house fuel planning and procurement tool, ensuring it meets evolving business and user requirements Develop and enhance automated reporting and visualization tools that provide transparency into fuel consumption, procurement efficiency, and supplier performance Collaborate closely with procurement, operations, and digitalization teams to translate business needs into technical solutions and actionable insights Perform data mining, modelling, and statistical analysis to identify trends, risks, and opportunities in global fuel sourcing and usage Ensure data quality and integrity across various sources and reporting systems, proactively resolving inconsistencies and implementing best practices Evaluate and apply advanced analytical methods to explore innovative approaches in fuel purchasing and planning Operate with a high degree of autonomy and accountability, managing complex tasks and delivering high-quality outputs without direct supervision Qualifications University degree or comparable education in Data Science, Engineering, Computer Science, Business Analytics, or a related field Proven experience in data analytics, business intelligence, or digital transformation roles—preferably within procurement, logistics, or the maritime industry Strong proficiency in data visualization tools (e.g., QlikSense, Power BI, Tableau) Solid understanding of statistical analysis, data modelling, and performance metrics Experience with automation, reporting workflows or building digital tools in a complex, cross-functional environment Knowledge of or experience with AI and machine learning techniques is a plus Ability to communicate technical context or findings clearly and effectively to non-technical stakeholders Self-driven with excellent problem-solving skills and the ability to manage tasks independently Professional-level proficiency in oral and written English