Operations Research Analysts

O*NET-SOC コード: 15-2031.00

Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decisionmaking, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, services, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.

データ出典: BLS公表時点: 2026-08
非常に高い· 相対
低い4段階の相対区分非常に高い
職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
出典データセット（XLSX ファイルのダウンロード）
データ出典: Anthropic公表時点: 2026-03
0.429
0.000ここに掲載された値の範囲0.745
尺度・母数・出典
観測エクスポージャー指数、公開されたまま0–1
O*NETタスクへの対応づけが基準
SOC 2018の職業単位で公表された値で、同じSOC 2018コードを持つO*NET職業はすべてこの値になります
出典データセット（CSV ファイルのダウンロード）
データ出典: ILO公表時点: 2025
0.56
0.09ここに掲載された値の範囲0.70
職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の細分類（4桁）単位で公表された値です。米国労働統計局（BLS）の公式対応表（ISCO-08→2010 SOC、2010 SOC→2018 SOC）を公表どおり適用してこの職業に結び付けており、対応は全部または一部です
出典データセット（PDF ファイルのダウンロード）

この出典がどのような性格の値か

BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。

Task-level exposure

非表示の作業 5 件を表示

評価済みタスク 16 件 · β ≥ 0.5 のタスク 16 件（100.0%）

β = 直接的な露出（E1）+ 0.5 × ツール利用時の露出（E2）。原典リポジトリの定義に従います。

原典の単位：O*NET 27.2 のタスク → O*NET 31.0 の職業コード
評価済みタスクはすべて O*NET 31.0 のタスク一覧にあります。

出典: OpenAI "GPTs are GPTs" exposure rubric
版: gh-main-0471612
ライセンス: MIT License, Copyright (c) 2024 OpenAI

Task (O*NET 20.1)	Claude.aiRaw / share %	APIRaw / share %
Prepare management reports defining and evaluating problems and recommending solutions. 15-2031.00	0.096626.0	0.022617.2
Break systems into their component parts, assign numerical values to each component, and examine the mathematical relationships between them. 15-2031.00	0.073919.9	0.022717.3
Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules. 15-2031.00	0.072519.5	0.00977.3
Analyze information obtained from management to conceptualize and define operational problems. 15-2031.00	0.052714.2	0.050238.1
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes. 15-2031.00	0.03088.3	0.00624.7
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives. 15-2031.00	0.02937.9	0.00292.2
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters. 15-2031.00	0.00892.4	0.00393.0
Define data requirements and gather and validate information, applying judgment and statistical tests. 15-2031.00	0.00391.1	0.013610.3
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions. 15-2031.00	0.00260.7	—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 (O*NET 27.2)	βE1 + 0.5 × E2
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters. O*NET Task ID 7377	1.0
Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them. O*NET Task ID 7385	1.0
Specify manipulative or computational methods to be applied to models. O*NET Task ID 7386	1.0
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data. O*NET Task ID 7388	1.0
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions. O*NET Task ID 7378	0.5
Analyze information obtained from management to conceptualize and define operational problems. O*NET Task ID 7379	0.5
Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary. O*NET Task ID 7380	0.5
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives. O*NET Task ID 7381	0.5
Define data requirements, and gather and validate information, applying judgment and statistical tests. O*NET Task ID 7382	0.5
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes. O*NET Task ID 7383	0.5
Prepare management reports defining and evaluating problems and recommending solutions. O*NET Task ID 7384	0.5
Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources. O*NET Task ID 7387	0.5
Develop and apply time and cost networks to plan, control, and review large projects. O*NET Task ID 7389	0.5
Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules. O*NET Task ID 7390	0.5
Present the results of mathematical modeling and data analysis to management or other end users. O*NET Task ID 20952	0.5
Educate staff in the use of mathematical models. O*NET Task ID 20953	0.5
他 6 件の作業を表示 ▾折りたたむ ▴

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

O*NET 31.0 のタスク全件（17件）

この職業の O*NET 31.0 のタスク全件（英語原文、種別はコア・補足）。露出値はこの一覧には載せず、上の表で各出典が用いた O*NET 版の文言の横にあります。

タスク（O*NET 31.0）	種類
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.	コア
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.	コア
Analyze information obtained from management to conceptualize and define operational problems.	コア
Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.	コア
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.	コア
Define data requirements, and gather and validate information, applying judgment and statistical tests.	コア
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.	コア
Prepare management reports defining and evaluating problems and recommending solutions.	コア
Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.	コア
Specify manipulative or computational methods to be applied to models.	コア
Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.	コア
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.	コア
Develop and apply time and cost networks to plan, control, and review large projects.	コア
Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.	コア
Present the results of mathematical modeling and data analysis to management or other end users.	コア
Educate staff in the use of mathematical models.	コア
Review research literature.	コア

雇用見通し（BLS）

雇用者数、2025: 113K
雇用者数見通し、2035: 127K
変化率 (2025–35): +11.9%
年間賃金の中央値、2025: $88,940
入職時に通常必要な学歴: Bachelor's degree

最低 $30,890BLS EP 2025–35 の詳細職業825件の賃金中央値の範囲最高 $559,030

出典: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

韓国職業分類との対応（KSCO）

AI Changing Work が作成した Korea Occupation Direct Crosswalk v1.1 現行版の対応です。関係の値は O*NET-SOC 職業の側から読みます。

KSCO コード	KSCO 名称	関係	状態
21123	수학 및 통계학 연구원	関連（対応ではない）	確定

関係と状態の定義(kr-direct v1.1)

ILO（国際労働機関）の職業説明

以下のISCO-08職業群は、AI Changing Workが米国労働統計局（BLS）の発行するクロスウォーク（2018 SOC→2010 SOC、2010 SOC→ISCO-08）を個別の選択なしにそのまま適用して、この職業に結び付けたものです。結び付きは全体的な対応の場合も部分的な対応の場合もあります。

ISCO-08 2120Mathematicians, Actuaries and Statisticians
数学者、保険計理士、統計の専門職

出典: 総務省「国際標準職業分類（ISCO）2008年改定版（仮訳）分類項目名一覧（和英対照）」— 原著：ILO ISCO-08 © International Labour Organization（日本語訳は総務省がILOの許可を得て作成）

原文を見る

以下の定義・作業・職業例は、この職業ではなく、当該ISCO-08職業群についてのILOによる説明です。

Mathematicians, actuaries and statisticians conduct research and improve or develop mathematical, actuarial and statistical concepts, theories and operational methods and techniques and advise on or engage in their practical application in such fields as engineering, business and social and other sciences.

作業

(a) studying, improving and developing mathematical, actuarial and statistical theories and techniques;
(b) advising on or applying mathematical principles, models and techniques to a wide range of tasks in the fields of engineering, natural, social or life sciences;
(c) conducting logical analyses of management problems, especially in terms of input-output effectiveness, and formulating mathematical models of each problem usually for programmeming and solution by computer;
(c) designing and putting into operation pension schemes and life, health, social and other types of insurance systems;
(e) applying mathematics, statistics, probability and risk theory to assess potential financial impacts of future events;
(f) planning and organizing surveys and other statistical collections, and designing questionnaires;
(g) evaluating, processing, analysing, and interpreting statistical data and preparing them for publication;
(h) advising on or applying various data collection methods and statistical methods and techniques, and determining reliability of findings, especially in such fields as business or medicine as well as in other areas of natural, social or life sciences;
(i) preparing scientific papers and reports;
(j) supervising the work of mathematical, actuarial and statistical assistants and statistical clerks.

職業例

Actuary · Demographer · Mathematician · Operations research analyst · Statistician

Sources: ILO ISCO-08 — details: Credits

ESCO 職業語彙

以下の各項目は、公開されているESCO-O*NET Crosswalk（バージョン1、2022年）で、この職業と一つずつ対応付けられたものです。対応の種類はそのクロスウォークによるもので、表現はAI Changing Workによるものです。

business intelligence managerESCO 2421.3重なるが同じではない
Business intelligence managers gain knowledge of the industry, the innovative processes therein, and contrast them with the operations of the company in order to improve them. They focus their analysis in the supply chain processes, warehouses, storage, and sales as to facilitate communication and revenue improvement.
logistics analystESCO 2141.6重なるが同じではない
Logistics analysts streamline product manufacturing, transportation, storage and distribution. They assess production and supply chain problems to determine economically efficient solutions. They assists company managers in decision-making processes and direct programs designed to provide subcontractors, managers and customers with logistic technology.
logistics engineerESCO 2149.2.6重なるが同じではない
Logistics engineers design and implement systems aimed to optimise the time and efforts invested in transportation activities. They ensure that systems allow for micro-tracking and smooth communication across transport methods and stages.
occupational analystESCO 2423.5重なるが同じではない
Occupational analysts collect and analyse occupational information within one field or company in order to make recommendations for reducing costs and general business improvements. They provide technical assistance to employers in dealing with problematic staff recruitment and development and with staff restructuring. Occupational analysts study and write job descriptions and prepare occupational classification systems.

出典: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

ライセンス: CC BY 4.0 (EU Reuse Notice)

原文を見る

ESCO reuse terms and the modification notice are in Credits.

フランス職業分類との対応（ROME）

この職業と ROME 4.0 の職業票（fiche）との対応で、AI Changing Work が AI モデルを用いて判定したものです。関係はこの職業の側から読みます。「暫定」と表示した対応は、同じモデル系列（Claude）の二人の判定者による判定のみ、またはその判定に運営者の規則を適用して採用したものであり、確定した対応より根拠が弱くなります。

ROME コード	ROME 名称（フランス語）	関係
G1302	Yield manager	関連（対応ではない）
K2408	Mathématicien / Mathématicienne	関連（対応ではない）
M1405	Data scientist	関連（対応ではない）
M1414	Ingénieur statisticien / Ingénieure statisticienne	関連（対応ではない）

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

スペイン職業分類との対応（CNO-11）

この職業と CNO-11 の職業との対応で、AI Changing Work が AI モデルを用いて判定したものです。関係はこの職業の側から読みます。

CNO-11 コード	CNO-11 名称（スペイン語）	関係
2415	Matemáticos y actuarios	この職業のほうが狭い暫定
2621	Analistas de gestión y organización	関連（対応ではない）

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

ドイツ職業分類との対応（KldB）

この職業と KldB の職業との対応で、AI Changing Work が AI モデルを用いて判定したものです。関係はこの職業の側から読みます。

KldB コード	KldB 名称（ドイツ語）	関係
41184	Berufe in der Mathematik (sonstige spezifische Tätigkeitsangabe) - hoch komplexe Tätigkeiten	重なるが同じではない
71314	Berufe in der Unternehmensorganisation und -planung - hoch komplexe Tätigkeiten	関連（対応ではない）

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

日本職業分類との対応（JSCO）

この職業と JSCO の職業との対応で、AI Changing Work が AI モデルを用いて判定したものです。関係はこの職業の側から読みます。

JSCO コード	JSCO 名称（日本語）	関係
189	その他の経営・金融・保険専門職業従事者	関連（対応ではない）
253	企画事務員	関連（対応ではない）

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

このページのデータの出典・ライセンスと AI Changing Work による改変・翻訳の告知：クレジットと出典