Career Risk Page

Data Analysts career risk in the UK

Compare this role's AI exposure, automation potential, relative income vulnerability, relative health risk, pay, and growth outlook using WeCovr's UK occupation dataset.

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Digital AI Exposure

8/10

Higher

Automation Potential

8/10

Higher

Relative Income Vulnerability

6/10

Moderate

Relative Health Risk

2/10

Lower

Median Pay

£39,260

median pay

UK Jobs

121,234

estimated employment

Growth Outlook

As fast as average

neutral

Education

Degree

typical route

What The Data Suggests

Data Analysts is one of the 400+ UK occupations tracked in the WeCovr Job Market Visualiser. In our current dataset, this role shows higher digital AI exposure, higher automation potential, moderate relative income vulnerability, and lower relative health risk.

The role currently shows a median pay of £39,260 with an outlook of As fast as average. These indicators are designed to help users compare jobs in a practical way rather than predict a single outcome for any one worker.

For WeCovr, the important question is not just whether technology may reshape a role over time, but whether a worker in this occupation could face meaningful disruption from illness, injury, delayed treatment, or interrupted earnings in the meantime.

These scores are directional comparisons across the dataset. They are designed to be useful for ranking occupations, not to act as precise forecasts for any one person.

Practical Takeaways For Data Analysts

This role has relatively high digital AI exposure compared with many UK occupations.
A larger share of the day-to-day workflow appears structured enough to be reshaped by automation or process tooling.

Why These Scores Look Like They Do

Why this AI exposure score: 8/10

This occupation contains substantial digital and information-based work that AI can already accelerate. Human oversight still matters, but the role is exposed to meaningful workflow change and labour-saving pressure.

Why this relative income score: 6/10

This role looks relatively less income-vulnerable because median pay is around £39,260 and the occupation tends to have stronger continuity or stability than more precarious work. Financial disruption is still possible, but the baseline resilience is better than average.

Why this relative health score: 2/10

This occupation looks lower-risk from a health perspective because the main exposure is more about sedentary and screen-based strain than acute hazard. The main exposure is more likely to come from general stress or sedentary work than acute physical risk.

How Data Analysts Compares Within Associate Professional And Technical

This occupation sits inside the Associate Professional And Technical group, where we currently track 68 roles with an average pay of £38,324.

Data Analysts looks more exposed than the average Associate Professional And Technical role on AI exposure.
Data Analysts looks more exposed than the average Associate Professional And Technical role on automation potential.
Data Analysts sits close to the sector average for relative income vulnerability.
Data Analysts looks lower than the average Associate Professional And Technical role on relative health risk.
Data Analysts sits broadly in line with the sector average on pay.

Data Sources

This page draws on the same WeCovr UK job-market dataset used in the main visualiser, including occupation-level information linked to the National Careers Service, ONS-aligned labour-market data, and WeCovr's comparative scoring for AI exposure, automation potential, income vulnerability, and health risk.

Why WeCovr Built This

AI gets the headlines, but sudden illness or injury can also create significant pressure on income. We built this dataset so UK workers can compare both technology-related change and protection-relevant pressures in one place.

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Next Steps

Compare against other UK jobs View on National Careers Service Life insurance for Data Analysts Health cover for Data Analysts

Related Occupations

Roles in the same part of the labour market with a broadly similar mix of AI, automation, income, and health exposure.

Authors, Writers And Translators Database Administrators And Web Content Technicians Clothing, Fashion And Accessories Designers Insurance Underwriters Interior Designers Advertising And Marketing Associate Professionals

Nearby Comparisons

Lower combined risk at a similar pay level

Police Officers (Sergeant And Below) with lower AI exposure and lower relative income vulnerability.
Fire Service Officers (Watch Manager And Below) with lower AI exposure and lower relative income vulnerability.
Midwifery Nurses with moderate AI exposure and lower relative income vulnerability.
Registered Community Nurses with moderate AI exposure and lower relative income vulnerability.

Higher combined risk at a similar pay level

Telephone Salespersons with higher automation potential and moderate relative health risk.
School Secretaries with higher automation potential and moderate relative health risk.
Collector Salespersons And Credit Agents with higher automation potential and lower relative health risk.
Financial Administrative Occupations N.E.C. with higher automation potential and lower relative health risk.

FAQs

Does this page mean AI will definitely replace data analysts?

No. The scores are comparative indicators, not a prediction that any individual worker will lose their role. They are calibrated to show relative positioning across UK occupations rather than absolute certainty.

Why does WeCovr show income and health risk for data analysts?

Because the biggest near-term disruption for many workers is not necessarily AI. Illness, injury, treatment delays, or time away from work can have a faster and more immediate financial impact.

What should data analysts do after reading this page?

Use the main visualiser to compare this role against other occupations, then calculate your Protection Score if you want to explore whether your current arrangements may leave gaps.