Occupation baseline ยท Model 1.0
Is the Data Analyst role AI-proof?
The Data Analyst role is partly exposed to AI, but it is more likely to be reshaped than removed as a whole. Outcomes depend heavily on the person's task mix, seniority and work setting.
Direct answer
Exposure is not replacement probability
The Data Analyst role is partly exposed to AI, but it is more likely to be reshaped than removed as a whole. Outcomes depend heavily on the person's task mix, seniority and work setting. The 65/100 figure is an occupation-level starting point. It does not mean that 65% of workers will lose their jobs or that 65% of the role will certainly disappear.
More exposed
Tasks AI can reach
- Generating routine queries
- Drafting recurring reports
- Explaining standard chart patterns
Human advantage
Tasks that resist removal
- Defining the right business question
- Validating messy source data
- Influencing decisions with context
Augmentation
Where AI may help
- Exploratory analysis
- SQL and code assistance
- Narrative and visual iteration
Why your result may differ
A title cannot describe the whole job
Two people called Data Analyst may have different exposure. Routine digital inputs and repeatable rules raise automation pressure. Accountability, trust, unusual cases, physical presence and senior decision-making generally raise resilience. The personal assessment adjusts this baseline around those factors.
Baseline inputs come from the site's compiled occupation dataset. Scores are editorial planning indicators, not official labour-market forecasts. See the methodology, formulas and limitations.
Measure the work you actually do
Adjust this baseline using your task mix, career level and workplace context. No account is required and answers remain in your browser.
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