data analyst

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

The most in-demand skills for this role include digital data processing, information structure, business intelligence, data mining, documentation types, visual presentation techniques. These are the skills O*NET identifies as most important for competent performance.

Our AI-durability model gives data analyst a score of 0.62 on a 0-1 scale (higher = more exposure). That places it at moderate AI exposure — some tasks are being automated but the role adapts. Learning to work with AI tools rather than against them is the path forward.