163 lines
5.2 KiB
Markdown
163 lines
5.2 KiB
Markdown
# Market evidence report — knowledge-engineer
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Source: **32 real job ads** (JSearch API, countries: us 32), extracted into the MSSQL evidence store; as of 2026-07-14.
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This report contains extracted, aggregated facts only — no ad text is
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reproduced (copyright / platform terms).
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## Seniority distribution
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| Seniority | Ads | Share |
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|---|---|---|
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| mid | 20 | 62 % |
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| senior | 7 | 22 % |
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| junior | 3 | 9 % |
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| lead | 2 | 6 % |
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## Tools — full market ranking
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| # | Item | Ads | Share |
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|---|---|---|---|
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| 1 | Google Sheets | 6 | 19 % |
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| 2 | ChatGPT | 5 | 16 % |
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| 3 | Claude | 5 | 16 % |
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| 4 | Gemini | 5 | 16 % |
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| 5 | SQL | 5 | 16 % |
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| 6 | Git | 4 | 12 % |
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| 7 | GPT-5 | 3 | 9 % |
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| 8 | Microsoft Excel | 3 | 9 % |
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| 9 | Slack | 3 | 9 % |
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## Hard skills — full market ranking
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| # | Item | Ads | Share |
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|---|---|---|---|
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| 1 | metadata management | 16 | 50 % |
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| 2 | taxonomy development | 15 | 47 % |
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| 3 | taxonomy design | 10 | 31 % |
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| 4 | content classification | 6 | 19 % |
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| 5 | data governance | 6 | 19 % |
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| 6 | data labeling | 6 | 19 % |
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| 7 | data modeling | 5 | 16 % |
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| 8 | data validation | 5 | 16 % |
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| 9 | information architecture | 5 | 16 % |
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| 10 | pattern recognition | 5 | 16 % |
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| 11 | autocategorization | 4 | 12 % |
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| 12 | data analysis | 4 | 12 % |
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| 13 | metadata design | 4 | 12 % |
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| 14 | vocabulary development | 4 | 12 % |
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| 15 | data annotation | 3 | 9 % |
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| 16 | data cleanup | 3 | 9 % |
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| 17 | knowledge management | 3 | 9 % |
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| 18 | ontology engineering | 3 | 9 % |
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| 19 | questionnaire design | 3 | 9 % |
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| 20 | regulatory alignment | 3 | 9 % |
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| 21 | requirements translation | 3 | 9 % |
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| 22 | translation review | 3 | 9 % |
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## Methods — full market ranking
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| # | Item | Ads | Share |
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| 1 | agile development | 4 | 12 % |
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| 2 | ai-driven modeling | 3 | 9 % |
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| 3 | structured onboarding | 3 | 9 % |
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## Responsibilities — full market ranking
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| # | Item | Ads | Share |
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| 1 | taxonomy maintenance | 12 | 38 % |
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| 2 | dataset review | 5 | 16 % |
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| 3 | job title standardization | 5 | 16 % |
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| 4 | metadata validation | 5 | 16 % |
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| 5 | occupation mapping | 5 | 16 % |
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| 6 | roadmap development | 4 | 12 % |
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| 7 | stakeholder engagement | 4 | 12 % |
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| 8 | annotation | 3 | 9 % |
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| 9 | approval workflow management | 3 | 9 % |
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| 10 | classification | 3 | 9 % |
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| 11 | cross-functional collaboration | 3 | 9 % |
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| 12 | data insight communication | 3 | 9 % |
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| 13 | edge case tracking | 3 | 9 % |
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| 14 | metric recommendation | 3 | 9 % |
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| 15 | program communication | 3 | 9 % |
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| 16 | questionnaire localization | 3 | 9 % |
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| 17 | remediation process leadership | 3 | 9 % |
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| 18 | stakeholder training | 3 | 9 % |
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| 19 | translation model refinement | 3 | 9 % |
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## Regional breakdown
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> **Corpus note:** 32 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
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### US (us)
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32 ads.
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**Top hard skills:**
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- metadata management — 50 % (16 ads)
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- taxonomy development — 47 % (15 ads)
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- taxonomy design — 31 % (10 ads)
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- content classification — 19 % (6 ads)
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- data governance — 19 % (6 ads)
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- data labeling — 19 % (6 ads)
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- data modeling — 16 % (5 ads)
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- data validation — 16 % (5 ads)
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- information architecture — 16 % (5 ads)
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- pattern recognition — 16 % (5 ads)
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**Top tools:**
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- Google Sheets — 19 % (6 ads)
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- ChatGPT — 16 % (5 ads)
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- Claude — 16 % (5 ads)
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- Gemini — 16 % (5 ads)
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- SQL — 16 % (5 ads)
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- Git — 12 % (4 ads)
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- GPT-5 — 9 % (3 ads)
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- Microsoft Excel — 9 % (3 ads)
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- Slack — 9 % (3 ads)
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- Git Lab / GitHub — 6 % (2 ads)
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**Seniority:** mid 62 % · senior 22 % · junior 9 % · lead 6 %
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### UK (gb)
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**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
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### EU/DACH (de, at, ch, nl)
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**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
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## Job title variants in the market
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| Title | Ads |
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| Enterprise Taxonomist | 4 |
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| Principal Taxonomist | 4 |
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| Taxonomist | 3 |
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| Content Manager / Taxonomist | 2 |
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| [Remote] Taxonomist | 1 |
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| Associate Data Taxonomist | 1 |
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| Associate Data Taxonomist - 1056 | 1 |
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| Data Taxonomist, Labor Market Intelligence | 1 |
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| Director, Metadata & Taxonomy | 1 |
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| Enterprise Information Architect (Taxonomist) [210152] | 1 |
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| Enterprise Semantic Knowledge Engineer | 1 |
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| Knowledge Engineer -Generative AI Platform and Cortex | 1 |
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| Lead Life Sciences Knowledge Engineer | 1 |
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| Remote Principal Taxonomist - Brazil Taxonomies & AI | 1 |
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| Senior Taxonomist — Enterprise Data & AI Taxonomies | 1 |
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| Taxonomist - Editorial/Descriptive Metadata | 1 |
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| Taxonomist, Editorial Creative | 1 |
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| Taxonomist: 26-01132 | 1 |
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| Taxonomy Analyst (Dutch Speaker) ID76490 | 1 |
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| Taxonomy Analyst (German Speaker) ID76265 | 1 |
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| Taxonomy Analyst (Spanish Speaker) ID76264 | 1 |
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| Taxonomy Analyst (Swedish fluency) ID76179 | 1 |
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| Taxonomy Analyst ID76178 | 1 |
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Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.
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