Analistas de Qualidade de Dados
Computação e MatemáticaExposição à IA
- Fonte dos dados: BLSPublicado: 2026-08
Muito alto· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: 2026-03
0.461
0.000Intervalo dos valores aqui apresentados0.745Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
- Fonte dos dados: ILOPublicado: 2025
0.57
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor
Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 7% atingem ou superam este valor.
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Task-level exposure
Apenas tarefas expostas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare appropriate formatting to data sets as requested.15-2041 | 0.066713.2 | 0.439434.9 |
Evaluate sources of information to determine any limitations in terms of reliability or usability.15-2041 | 0.063412.5 | 0.130110.3 |
Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.15-2041 | 0.04488.9 | 0.315625.0 |
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.15-2041 | 0.03717.3 | 0.00880.7 |
Report results of statistical analyses, including information in the form of graphs, charts, and tables.15-2041 | 0.03396.7 | 0.02161.7 |
Prepare articles for publication or presentation at professional conferences.15-2041 | 0.02995.9 | 0.00620.5 |
Prepare data analysis listings and activity, performance, or progress reports.15-2041 | 0.02434.8 | 0.10078.0 |
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.15-2041 | 0.02114.2 | 0.01851.5 |
Write program code to analyze data using statistical analysis software.15-2041 | 0.02054.1 | 0.05664.5 |
Develop and test experimental designs, sampling techniques, and analytical methods.15-2041 | 0.01713.4 | 0.00630.5 |
| Not observed on any surface — 31 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Analyze and interpret statistical data to identify significant differences in relationships among sources of information. | —0 | —0 |
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. | —0 | —0 |
Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used. | —0 | —0 |
Supervise and provide instructions for workers collecting and tabulating data. | —0 | —0 |
Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed. | —0 | —0 |
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering. | —0 | —0 |
Present statistical and nonstatistical results using charts, bullets, and graphs in meetings or conferences to audiences such as clients, peers, and students. | —0 | —0 |
Teach graduate or continuing education courses or seminars in biostatistics. | —0 | —0 |
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients. | —0 | —0 |
Calculate sample size requirements for clinical studies. | —0 | —0 |
Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies. | —0 | —0 |
Assign work to biostatistical assistants or programmers. | —0 | —0 |
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected. | —0 | —0 |
Develop or use mathematical models to track changes in biological phenomena such as the spread of infectious diseases. | —0 | —0 |
Develop or implement data analysis algorithms. | —0 | —0 |
Design research studies in collaboration with physicians, life scientists, or other professionals. | —0 | —0 |
Design or maintain databases of biological data. | —0 | —0 |
Analyze archival data such as birth, death, and disease records. | —0 | —0 |
Review clinical or other medical research protocols and recommend appropriate statistical analyses. | —0 | —0 |
Provide biostatistical consultation to clients or colleagues. | —0 | —0 |
Apply research or simulation results to extend biological theory or recommend new research projects. | —0 | —0 |
Analyze clinical or survey data using statistical approaches such as longitudinal analysis, mixed effect modeling, logistic regression analyses, and model building techniques. | —0 | —0 |
Design surveys to assess health issues. | —0 | —0 |
Write work instruction manuals, data capture guidelines, or standard operating procedures. | —0 | —0 |
Track the flow of work forms including in-house data flow or electronic forms transfer. | —0 | —0 |
Supervise the work of data management project staff. | —0 | —0 |
Monitor work productivity or quality to ensure compliance with standard operating procedures. | —0 | —0 |
Generate data queries based on validation checks or errors and omissions identified during data entry to resolve identified problems. | —0 | —0 |
Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. | —0 | —0 |
Develop project-specific data management plans that address areas such as data coding, reporting, or transfer, database locks, and work flow processes. | —0 | —0 |
Develop or select specific software programs for various research scenarios. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Prepare appropriate formatting to data sets as requested.O*NET Task ID 16268 | 1.0 |
Develop technical specifications for data management programming and communicate needs to information technology staff.O*NET Task ID 16270 | 1.0 |
Develop or select specific software programs for various research scenarios.O*NET Task ID 16271 | 1.0 |
Write work instruction manuals, data capture guidelines, or standard operating procedures.O*NET Task ID 16273 | 1.0 |
Design and validate clinical databases, including designing or testing logic checks.O*NET Task ID 16281 | 1.0 |
Design forms for receiving, processing, or tracking data.O*NET Task ID 16286 | 1.0 |
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.O*NET Task ID 16266 | 0.5 |
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.O*NET Task ID 16267 | 0.5 |
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.O*NET Task ID 16269 | 0.5 |
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.O*NET Task ID 16272 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Informação ocupacional
Alterações recentes relacionadas com esta ocupação
ago. de 2026: BLS Occupational Outlook Handbook (updated Aug 2026): employment of data scientists is projected to grow 35% from 2025 to 2035, much faster than the average for all occupations, with about 24,800 openings a year.
[Fonte: U.S. Bureau of Labor Statistics]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.