Data Analysts and Scientists and AI
Exposure scores
What does an AI score of 8/10 mean?
High exposure — Many tasks in this occupation can be automated or AI-assisted. Adaptation is key.
High AI exposure changes the work of Data Analysts and Scientists substantially, but employment is expected to stay roughly stable. Where AI takes over routine tasks, the role shifts toward judgement, client contact and oversight.
What changes for Data Analysts and Scientists?
The forecast starts from the national projection per occupational group and adds AI and robotics as separate layers. The band of -15% to +5% matters more than the midpoint.
I build with AI. And I track what it does to work.
I'm Simon Janssen, CTO and management board member at HappyNurse. This map shows, occupation by occupation, what AI does to work, based on official labour-market data rather than hype. On LinkedIn I share what I see as a CTO: what AI is already taking over, what it isn't, and what that means for people.
Business & Finance and AI
Data Analysts and Scientists belongs to the Business & Finance sector. This sector has an education level index of 3/4, indicating higher formal education requirements. Occupations in Business & Finance with high AI exposure tend to see significant task restructuring as AI tools handle information-intensive work.
Which AI tools are already making an impact?
Deepen the human side
AI is changing parts of this work, but the jobs are expected to remain. Focus on the tasks where human judgement, relationships or creativity are central: those become more valuable. Combine that with strong AI skills.
Personal development plan
Based on your sector (Business & Finance) and AI exposure level, here are three concrete steps to future-proof your career.
Analysts using AI produce insights 5x faster
→ Excel Copilot, Tableau AIFCA and PRA are developing AI-specific guidance
→ FCA AI guidance, UK AI Safety InstituteAI generates analysis; humans create the narrative
→ Storytelling with Data (Knaflic)