Data analysts
Data analysts gather and organise a variety of data and analyse it to understand what it means for their organisation or society.
Task Bundle Breakdown
How AI interacts with this occupation's task bundle
Task-by-Task Breakdown
Every task scored individually — sorted highest to lowest AI exposure
creates visual representations of data, such as data dashboards and graphs
Tools like Power BI Copilot, Tableau AI, and ChatGPT can generate dashboards, suggest chart types, and produce visualisations from natural language prompts, significantly reducing manual design time.
gathers, cleans and collates datasets and develops data management processes and policies
AI tools like GitHub Copilot and ChatGPT can generate data cleaning scripts, suggest pipeline architectures, and automate deduplication, but human judgment is still needed to define policies, handle edge cases, and ensure data governance compliance.
analyses data to identify trends and patterns in a variety of fields, such as opinion polling, predicting demand for goods and services, or the testing of new medications
AI platforms like DataRobot, Google AutoML, and ChatGPT with Code Interpreter can rapidly surface patterns and run statistical models, but domain expertise is essential to interpret results correctly, avoid spurious correlations, and draw meaningful conclusions.
presents findings for technical or non-technical audiences to inform the decisions of companies, government or other organisations
AI tools like Gamma, Beautiful.ai, and ChatGPT can draft presentation narratives and structure findings, but effective communication to stakeholders still requires human judgement on emphasis, context, and audience sensitivity.
ROI Calculator
Data analysts
This is not a pay rise — it's 900 hours of productive capacity that AI could return to you, valued at your current rate.
The portion of your current salary tied to tasks AI can automate or augment. Not a prediction of job loss — a signal of where your role is changing fastest.
How is this calculated?▾
Task weights — each task is weighted by its O*NET frequency rating. Where frequency data is absent, equal weighting is applied.
AI time reduction — tasks scored as "AI Automates" assume 80% time saving; "AI Assists" assumes 40%; "Human-Led" assumes 5%.
Salary equivalent — annual hours saved × (salary ÷ 1,800 working hours/year).
Value at risk — salary × share of role time in AI-automate or AI-assist tasks.
Figures are indicative estimates for planning purposes, not guarantees of productivity gain or job loss risk.