# Management Analysts

> Conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to assist management in operating more efficiently and effectively. Includes program analysts and management consultants.

- **SOC code:** 13-1111.00
- **Canonical URL:** https://singulariki.com/roles/role-13-1111-00
- **Also known as:** Business Analyst, Business Consultant, Management Analyst, Management Consultant, Administrative Analyst, Employment Programs Analyst, Organizational Development Consultant, Performance Management Analyst
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Gather and organize information on problems or procedures.
- Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures.
- Analyze data gathered and develop solutions or alternative methods of proceeding.
- Document findings of study and prepare recommendations for implementation of new systems, procedures, or organizational changes.
- Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used.
- Plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis.
- Prepare manuals and train workers in use of new forms, reports, procedures or equipment, according to organizational policy.
- Review forms and reports and confer with management and users about format, distribution, and purpose, identifying problems and improvements.
- Develop and implement records management program for filing, protection, and retrieval of records, and assure compliance with program.
- Design, evaluate, recommend, and approve changes of forms and reports.
- Recommend purchase of storage equipment and design area layout to locate equipment in space available.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Administration and Management _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Problem Sensitivity _(ability)_
- Writing _(essential_skill)_
- Speaking _(essential_skill)_
- Complex Problem Solving _(transferable_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Systems Analysis _(Specialized Skill)_
- Mathematics _(Common Skill)_

**Tools & technology:**
- Atlassian JIRA _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Power BI _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Microsoft SharePoint _(hot technology, in demand)_
- Microsoft Visio _(hot technology, in demand)_
- Python _(hot technology, in demand)_
- Salesforce software _(hot technology, in demand)_
- Structured query language SQL _(hot technology, in demand)_
- Tableau _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 89th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 98th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 56th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 97th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 30th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 8.8% growth (Growing fast); 98.1k annual openings; 1,075.1k → 1,169.7k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $101,190; 893,900 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 31% automation, 62% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Document findings of study and prepare recommendations for implementation of new systems, procedures, or organizational changes. _(9.8% of measured AI use; task iteration)_
- Plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis. _(0.4% of measured AI use; task iteration)_
- Recommend purchase of storage equipment and design area layout to locate equipment in space available. _(0.3% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me document findings of study and prepare recommendations for implementation of new systems, procedures, or organizational changes.
- Help me plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis.
- Help me recommend purchase of storage equipment and design area layout to locate equipment in space available.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-13-1111-00_