As of June 2026, Data Analyst has an AI-exposure score of 59/100 (Elevated exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Data Analyst

59/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 60% of the roles we track. Median pay ~US$83,640.

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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How you compare to similar Technology roles

Data Analyst (you)
59
Backend Developer
59
Business Analyst
60
Frontend Developer
61
Software Developer
57
DevOps Engineer
57
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Your tasks, by AI exposure

Automatable
  • Query and clean datasets
  • Build reports and dashboards
Augmentable
  • Maintain or modify all financial analytic models in use.
  • Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.
  • Identify, track, or maintain metrics for trading system operations.
  • Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.
  • Devise or apply independent models or tools to help verify results of analytical systems.
  • Define or recommend model specifications or data collection methods.
  • Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
  • Interpret results of financial analysis procedures.
  • Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
  • Translate questions into analysis
  • Produce written summary reports of financial research results.
  • Provide application or analytical support to researchers or traders on issues such as valuations or data.
  • Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
  • Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.
  • Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.
  • Research new financial products or analytics to determine their usefulness.
Durable
  • Advise stakeholders on decisions
  • Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.

Safer adjacent roles

YOUR ROLE TODAY
Data Analyst 59
→
Data Scientist 82% overlap56Business Analyst 74% overlap60Product Manager 66% overlap48
Data Scientist
82% skills overlap · Elevated exposure · ~US$108,020
56
Business Analyst
74% skills overlap · Elevated exposure · ~US$91,290
60
Product Manager
66% skills overlap · Moderate exposure · ~US$134,290
48
Risk Analyst
56% skills overlap · Elevated exposure · ~US$85,000
58
Financial Analyst
48% skills overlap · Elevated exposure · ~US$96,220
62
Operations Research Analysts
40% skills overlap · Elevated exposure · ~US$88,940
60
Statistical Assistants
40% skills overlap · Very High exposure · ~US$50,330
75
Statistician
40% skills overlap · Elevated exposure · ~US$99,000
57

Your AI-Safe Career Report

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Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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