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Singulariki

Analyzing Data or Information

Work activity group · O*NET

Analyzing Data or Information is one of the 41 Generalized Work Activities at the top of O*NET's work-activity hierarchy — the broadest description of what people do on the job, sitting above the more specific intermediate and detailed work activities. Across the 894 occupations O*NET rates on it, it scores an average importance of 3.43 of 5 — 70th percentile among all activity groups.

Intermediate activities it contains

The intermediate work activities O*NET groups under Analyzing Data or Information, ranked by how many occupations perform each. Each links to its own page.

Intermediate activity Occupations AI applied
Analyze data to improve operations 100 51st pct
Analyze health or medical data 71 54th pct
Evaluate designs, specifications, or other technical data 50 70th pct
Analyze business or financial data 34 68th pct
Analyze performance of systems or equipment 33 73rd pct
Analyze market or industry conditions 30 78th pct
Analyze biological or chemical substances or related data 29 68th pct
Analyze environmental or geospatial data 26 38th pct
Analyze scientific or applied data using mathematical principles 23 83rd pct
Assess characteristics or impacts of regulations or policies 19 84th pct
Analyze business or financial risks 18 62nd pct
Research laws, precedents, or other legal data 6 76th pct

How AI is applied to this activity group

Microsoft's "Working with AI" study measured how often an AI assistant performs each work activity in real Bing Copilot conversations. Averaged across the 12 intermediate activities under Analyzing Data or Information that the study measured, this group ranks in the 67th percentile for how frequently AI is applied — a description of how AI is used today, not a forecast that the activity will be automated.

The figure is the mean of the child activities' applied-percentiles; open any activity above to see its underlying Microsoft measurements. Every occupation blends many activities, so a high AI-applied rank for one group does not mean a job is being automated.

Occupations that rely on this activity group most

Ranked by O*NET importance rating (1–5) for Analyzing Data or Information. Wages are BLS OEWS May 2024 national medians.

Occupation Importance Median pay Employment
Biochemists and Biophysicists 4.95 $103,650 34,520
Statisticians 4.95 $103,300 29,800
Epidemiologists 4.95 $83,980 11,460
Economists 4.92 $115,440 15,880
Astronomers 4.87 $132,170 1,560
Environmental Economists 4.85 $115,440 15,880
Clinical Neuropsychologists 4.83 $117,580 17,790
Hydrologists 4.82 $92,060 5,720
Political Scientists 4.80 $139,380 5,950
Actuaries 4.79 $125,770 28,340
Sociologists 4.79 $101,690 2,950
Market Research Analysts and Marketing Specialists 4.78 $76,950 861,140
Bioinformatics Scientists 4.77 $93,330 59,710
Anthropology and Archeology Teachers, Postsecondary 4.76 $95,770 5,260
Bioinformatics Technicians 4.76 $71,490 4,660
Investment Fund Managers 4.75 $161,700 818,620
Atmospheric and Space Scientists 4.75 $97,450 8,780
Business Intelligence Analysts 4.73 $112,590 233,440
Personal Financial Advisors 4.68 $102,140 270,480
Geoscientists, Except Hydrologists and Geographers 4.68 $99,240 22,510
Survey Researchers 4.68 $63,380 7,720
Operations Research Analysts 4.67 $91,290 107,760
Biostatisticians 4.67 $103,300 29,800
Sociology Teachers, Postsecondary 4.66 $82,540 12,380
Search Marketing Strategists 4.65 $76,950 861,140
Industrial Ecologists 4.65 $80,060 84,930
Credit Analysts 4.65 $80,970 67,370
History Teachers, Postsecondary 4.65 $81,500 19,860
Appraisers of Personal and Business Property 4.65 — —
Medical and Clinical Laboratory Technologists 4.65 — —
Neuropsychologists 4.64 $117,580 17,790
Quality Control Systems Managers 4.63 $121,440 234,380
Political Science Teachers, Postsecondary 4.63 $94,680 17,170
Ophthalmologists, Except Pediatric 4.63 — 12,110
Treasurers and Controllers 4.62 $161,700 818,620
Hospitalists 4.62 — 315,360
Nanosystems Engineers 4.62 $117,750 150,750
Database Architects 4.62 $135,980 64,770
Geographic Information Systems Technologists and Technicians 4.61 $108,970 439,380
Bioengineers and Biomedical Engineers 4.61 $106,950 21,860
Urologists 4.60 — 315,360
Financial Quantitative Analysts 4.60 $80,190 127,450
Transportation Planners 4.60 $100,340 36,970
Industrial-Organizational Psychologists 4.60 $109,840 1,050
Commercial Pilots 4.59 $122,670 51,830
Emergency Medicine Physicians 4.59 — 33,680
Physicists 4.59 $166,290 21,340
Neurologists 4.59 — 7,700
Petroleum Engineers 4.58 $141,280 18,970
Geographers 4.58 $97,200 1,380
Cost Estimators 4.57 $77,070 219,530
Preventive Medicine Physicians 4.56 — 315,360
Geneticists 4.56 $93,330 59,710
Nurse Anesthetists 4.56 $223,210 50,350
Computer and Information Research Scientists 4.56 $140,910 38,480
Remote Sensing Scientists and Technologists 4.56 $117,960 22,580
Judicial Law Clerks 4.56 $60,400 13,220
Water Resource Specialists 4.55 $161,180 100,870
Data Warehousing Specialists 4.55 $135,980 64,770
Animal Scientists 4.55 $79,120 2,470

Showing 60 of 894 occupations.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Analyzing Data or Information." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Microsoft “Working with AI” working-with-ai. Accessed June 7, 2026. https://singulariki.com/activity-groups/analyzing-data-or-information

APA

Singulariki. (2026). Analyzing Data or Information. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/activity-groups/analyzing-data-or-information

BibTeX 
@misc{singulariki-analyzing-data-or-information,
  title  = {Analyzing Data or Information},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Microsoft “Working with AI” working-with-ai. Accessed June 7, 2026},
  url    = {https://singulariki.com/activity-groups/analyzing-data-or-information}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.