BI Data & Functional Analyst

CLdN is a leading provider of integrated quay-to-quay and door-to-door logistics solutions. Founded in 1929, CLdN ensures reliable, cost-effective transport that links the major economic areas of Europe. With 30 ships and more than 200 sailings a week, CLdN provides shortsea connections between the European continent, the United Kingdom, Ireland, Iberia and Scandinavia and offers the lowest CO2 footprint of all Western European RoRo operators. CLdN’s cargo and multimodal services have a Europe-wide reach using CLdN’s extensive network of ships, terminals and equipment. CLdN’s 3,000 employees ensure that it fulfills its mission: to excel as an integrated provider of maritime links. 

As a BI Data & Functional Analyst, you deliver business value at the intersection of business processes, data, and technology. Your mission is to translate operational and strategic information needs into actionable BI & Data solutions that enhance shipping efficiency, cargo optimization, supply chain performance and sustainable operations.

Your role

· Gather and analyse reporting needs from various departments.

· Act as the liaison between the business and BI & Data team; you understand both worlds and connect them effectively.

· Translate business needs into clear functional requirements and user stories; facilitate requirement workshops and 1-on-1 sessions.

· Work closely with the BI & Data team to design, test and deliver dashboards, analytic solutions and data models.

· Ensure requirements are implemented efficiently and according to agreed priorities, standards and processes.

· Proactively identify improvement opportunities for better data insights, process optimisation and automation.

· Ensure end-to-end follow-up of BI projects, including stakeholder alignment, implementation and change management.

· Oversee delivery in cross-functional teams; provide direction to developers in collaboration with the Data Engineering team lead and the Data & BI Manager.

· Validate delivered work against development standards (definition of done, quality, documentation) and coordinate feedback loops.

· Support the business in understanding and adopting data products; continuously gather feedback and translate it into improvements.