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data quality assessment

🔻 Declining ESCO reuse: sector-specific

The process of revealing data issues using ​quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.

data quality assessment — the process of revealing data issues using ​quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria. McKinsey's Skill Change Index places it in the declining band (SCI 97.26/100) — a skill likely to fall in demand as AI and automation cover more of its ground by 2030. ESCO classifies it as a sector-specific (rooted in one industry) skill within knowledge. It is currently listed by 5 occupations in our catalogue, including Database administrators, information manager, textile quality inspector, and zoo registrar.

Category: knowledge › work skills SCI: 97.26/100 Also known as: data quality analysis, analyse data quality

Occupations that require data quality assessment

Showing top 5 of 5 occupations · ranked by India employment volume, then AI-durability.

Database administrators 👥 150,000 · 🤖 8.4/10
information manager · 🤖 5.0/10
textile quality inspector · 🤖 5.0/10
zoo registrar · 🤖 5.0/10
database developer · 🤖 6.9/10

Frequently asked questions

What is data quality assessment?

The process of revealing data issues using ​quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.

What category of skill is data quality assessment?

ESCO classifies data quality assessment under the knowledge category, specifically in the work skills subcategory.

Is data quality assessment an AI-durable skill?

McKinsey's Skill Change Index places it in the declining band (SCI 97.26/100) — a skill likely to fall in demand as AI and automation cover more of its ground by 2030. Prioritise this skill only when it directly enables paid work today — plan for AI to absorb more of it every year.

Which jobs require data quality assessment?

In our catalogue, 5 occupations list data quality assessment as a required or important skill. The top occupations by employment volume include Database administrators, information manager, textile quality inspector, zoo registrar, database developer.

How transferable is data quality assessment between industries?

ESCO tags data quality assessment as a sector-specific (rooted in one industry) skill — a signal of how portable it is when you change field.

Is data quality assessment the same as data quality analysis?

Yes — data quality assessment is also known as data quality analysis, or analyse data quality. They refer to the same underlying capability in the ESCO taxonomy.

How can I learn data quality assessment?

The most reliable path is to pick a job or project that demands data quality assessment and learn through delivery. Complement that with role-specific roadmaps and short courses. Explore the occupations below to see where this skill is used in practice.

Data: ESCO v1.2.1 (CC-BY-4.0). Durability framework informed by McKinsey Global Institute (Nov 2025). See our methodology.