As of June 2026, Data Warehousing Specialists has an AI-exposure score of 70/100 (High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Data Warehousing Specialists

70/100
High exposure
LowModerateElevatedHighVery High

More exposed than 90% of the roles we track. Median pay ~US$139,500. About 4,000 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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How this role compares to similar Computer & Mathematical roles

Data Warehousing Specialists (this role)
70
Web Administrators
70
Business Intelligence Analysts
70
Web Developers
70
Computer Systems Engineers/Architects
71
Database Architects
71
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Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.

Common titles
Data Warehouse AnalystData Warehouse Solution Architect
O*NET job-zone preparation
Job Zone 4 · Considerable Preparation Needed Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingReading ComprehensionProgrammingComplex Problem SolvingSystems AnalysisJudgment and Decision Making
Tools and technology
Microsoft AccessMicrosoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft Power BIMicrosoft PowerPoint
Work context
Email useIndoor controlled settingFace-to-face discussionsTelephoneDecision latitude

Source: O*NET 29.1 exact occupation - Data Warehousing Specialists, SOC 15-1243.01. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Data Warehousing Specialists tasks, by AI exposure

Automatable
  • Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.
  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
14 more automatable tasks locked in the report.
Augmentable
  • Review designs, codes, test plans, or documentation to ensure quality.
Durable

No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (94%).

We analyzed all 18 Data Warehousing Specialists tasks — 17 automatable and 1 augmentable. The full task map — every task with exactly what to do about each — is in your Career Report.

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Every task scored with what to automate, augment, or protect.

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

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Safer adjacent roles

Database Architects
80% skills overlap · High exposure · ~US$139,500
71
7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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