Data Analytics and Digital Transformation Manager (m/f/d)

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.

• 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

• 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

With a fleet of 287 modern container ships and a Vessel Capacity 2.2 million TEU, as well as a Container Capacity 3.2 million TEU including one of the world’s largest and most modern reefer container fleets, Hapag-Lloyd is one of the world’s leading liner shipping companies. In the Liner Shipping segment, the Company has around 13.500 employees and 400 offices in 139 countries. Hapag-Lloyd has a container capacity of 11.9 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 114 liner services worldwide ensure fast and reliable connections between more than 600 ports across the world. In the Terminal & Infrastructure segment, Hapag-Lloyd has stakes in 20 terminals in Europe, Latin America, the United States, India, and North Africa. The roughly 2.600 employees assigned to the Terminal & Infrastructure segment deal with terminal-related activities and provide complementary logistics services at selected locations.