# Logistics Analysts

> Analyze product delivery or supply chain processes to identify or recommend changes. May manage route activity including invoicing, electronic bills, and shipment tracing.

- **SOC code:** 13-1081.02
- **Canonical URL:** https://singulariki.com/roles/role-13-1081-02
- **Also known as:** Logistics Analyst, Logistics Management Analyst, Supply Chain Analyst, Transportation Analyst, Global Logistics Analyst, Material Supply Planner, Acquisition Analyst, Acquisitions Logistics 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):
- Maintain databases of logistics information.
- Remotely monitor the flow of vehicles or inventory, using Web-based logistics information systems to track vehicles or containers.
- Communicate with or monitor service providers, such as ocean carriers, air freight forwarders, global consolidators, customs brokers, or trucking companies.
- Reorganize shipping schedules to consolidate loads, maximize vehicle usage, or limit the movement of empty vehicles or containers.
- Track product flow from origin to final delivery.
- Interpret data on logistics elements, such as availability, maintainability, reliability, supply chain management, strategic sourcing or distribution, supplier management, or transportation.
- Recommend improvements to existing or planned logistics processes.
- Apply analytic methods or tools to understand, predict, or control logistics operations or processes.
- Contact potential vendors to determine material availability.
- Prepare reports on logistics performance measures.
- Enter logistics-related data into databases.
- Provide ongoing analyses in areas such as transportation costs, parts procurement, back orders, or delivery processes.

## Skills, tools, capabilities

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

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

**Tools & technology:**
- Microsoft Access _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft Power BI _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- SAP software _(hot technology, in demand)_
- Structured query language SQL _(hot technology, in demand)_
- Tableau _(hot technology, in demand)_
- Amazon Redshift _(hot technology)_
- IBM SPSS Statistics _(hot technology)_
- Microsoft Project _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 81st percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 87th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 55th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 8th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 16.7% growth (Growing fast); 26.4k annual openings; 241k → 281.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $80,880; 235,640 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 31% automation, 40% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Develop or maintain payment systems to ensure accuracy of vendor payments. _(0.8% of measured AI use; learning)_
- Determine packaging requirements. _(0.4% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me develop or maintain payment systems to ensure accuracy of vendor payments.
- Help me determine packaging requirements.

## 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-13-1081-02_