Computer Systems Analysts

Computer and Mathematical Occupations
O*NET-SOC 代码
15-1211.00

Analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions, improve existing computer systems, and review computer system capabilities, workflow, and schedule limitations. May analyze or recommend commercially available software.

职业名称和任务陈述按其发布时的英文原文显示。标签(包括任务类型)为译文。

AI暴露度

  • 数据来源: BLS发布时间: 2026-08

    很高· 相对

    低四级相对区间很高

    职业群单位数值

    尺度 · 母数 · 来源

    四级相对类别(低 / 中等 / 高 / 很高)

    以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档

    来源数据集(XLSX 文件下载)

  • 数据来源: Anthropic发布时间: 2026-03

    0.276

    0.000此处所载数值的范围0.745

    职业群单位数值

    尺度 · 母数 · 来源

    观测暴露度指数,按发布原值0–1

    以O*NET任务映射为基准

    按 SOC 2018 职业发布的数值;具有相同 SOC 2018 代码的所有 O*NET 职业均显示此值

    来源数据集(CSV 文件下载)

  • 数据来源: ILO发布时间: 2025

    0.49

    0.09此处所载数值的范围0.70

    职业群单位数值

    尺度 · 母数 · 来源

    生成式AI暴露度指数,按发布原值0–1

    按 ISCO-08 细类(4 位)发布的数值。按原样应用美国劳工统计局(BLS)的官方对照表(ISCO-08→2010 SOC、2010 SOC→2018 SOC)关联到本职业,对应关系为全部或部分对应

    来源数据集(PDF 文件下载)

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。

AI 暴露度(OpenAI 评分标准)

已评分任务 22 项 · β ≥ 0.5 的任务 20 项(90.9%)

β = 直接暴露(E1)+ 0.5 × 借助工具时的暴露(E2),依据原始代码库的定义。

  • 原始单位:O*NET 27.2 任务 → O*NET 31.0 职业代码
  • 所有已评分任务均在 O*NET 31.0 任务列表中。
来源
OpenAI "GPTs are GPTs" exposure rubric
版本
gh-main-0471612
许可
MIT License, Copyright (c) 2024 OpenAI

任务

来自 O*NET® 31.0 Database 的任务陈述,核心任务在前。

任务类型β(OpenAI)
Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems.核心0.5
Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.核心1
Use object-oriented programming languages, as well as client and server applications development processes and multimedia and Internet technology.核心1
Confer with clients regarding the nature of the information processing or computation needs a computer program is to address.核心0.5
Coordinate and link the computer systems within an organization to increase compatibility so that information can be shared.核心0.5
Consult with management to ensure agreement on system principles.核心0
Expand or modify system to serve new purposes or improve work flow.核心1
Determine computer software or hardware needed to set up or alter systems.核心1
Train staff and users to work with computer systems and programs.核心0.5
Analyze information processing or computation needs and plan and design computer systems, using techniques such as structured analysis, data modeling, and information engineering.核心1
Assess the usefulness of pre-developed application packages and adapt them to a user environment.核心1
Define the goals of the system and devise flow charts and diagrams describing logical operational steps of programs.核心1
Develop, document, and revise system design procedures, test procedures, and quality standards.核心1
Recommend new equipment or software packages.核心0.5
Read manuals, periodicals, and technical reports to learn how to develop programs that meet staff and user requirements.核心1
Use the computer in the analysis and solution of business problems, such as development of integrated production and inventory control and cost analysis systems.核心1
Specify inputs accessed by the system and plan the distribution and use of the results.核心1
Troubleshoot program and system malfunctions to restore normal functioning.核心1
Interview or survey workers, observe job performance, or perform the job to determine what information is processed and how it is processed.补充0
Review and analyze computer printouts and performance indicators to locate code problems, and correct errors by correcting codes.补充1
Supervise computer programmers or other systems analysts or serve as project leaders for particular systems projects.补充0.5
Prepare cost-benefit and return-on-investment analyses to aid in decisions on system implementation.补充0.5

职业信息

来源与署名

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 15-1211.00 Computer Systems Analysts

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

完整署名与许可