Junior/Mid Business Analyst IT

Falck is an international provider of emergency response, assistance, and healthcare services, headquartered in Copenhagen. You will join the Digital Enablement team within Falck's Data, Insights & AI department, which leads AI enablement and adoption across the organisation.

The Business Analyst supports the build-out of Falck's AI landscape, working across FalckGPT, Falck's enterprise AI assistant used by employees throughout the organisation, and the wider portfolio of AI initiatives. The role uncovers where AI can create value, translates business needs into clear requirements, and provides the analysis that underpins product decisions.

In this role, you are the bridge between the business and the technical team. You get close to actual adoption of the tool, document users' expectations and feedback, and make sure that understanding reaches the people who build the tool.

You do not need to meet every requirement above. If the role speaks to you, we encourage you to apply.

This role offers broad exposure to AI work at an early career stage. You will work directly with colleagues across the business, the technical team, and the team leading AI enablement across Falck, and gain practical experience in how a large, multi-national organisation adopts and scales AI.

This is a junior to mid-level position. To succeed in this role, we imagine that you have:

• A relevant master's degree, for example in business administration, digital business, information systems, or a related field.
• 1 to 4 years of relevant professional experience.
• Experience in a business analysis, consulting, data, or digital role, or a demonstrated track record of structured problem-solving in comparable work.
• Full professional fluency in English (mandatory).
• The ability to turn input from users and stakeholders into clear, well-documented requirements for a development team.
• Strong communication skills and the ability to work with both technical and non-technical stakeholders.
• Strong problem-solving, facilitation, and communication skills, with the ability to translate complex topics into clear, compelling narratives.
• Strong analytical and structured thinking, with a high standard of accuracy and attention to detail in documentation.
• Strong knowledge of the AI landscape (LLMs) and familiarity with ML concepts, including a practical understanding of prompt engineering.
• Hands-on experience with generative AI tools and a practical understanding of their applications and limitations.
• The confidence to ask probing questions of colleagues at all levels and challenge assumptions constructively.

Advantageous:

• Familiarity with Agile ways of working and backlog management tools.
• Working knowledge of data analysis tools such as Excel, SQL, or Power BI.
• Experience with enterprise AI assistants such as Microsoft Copilot, or other large language model tools.
• Experience in adoption, change management, training, or internal communications.
• Knowledge of responsible and compliant AI use in an enterprise setting.