Browse Skills apply statistical analysis techniques

apply statistical analysis techniques

🔻 Declining ESCO reuse: cross-sector

Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.

apply statistical analysis techniques — use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends. McKinsey's Skill Change Index places it in the declining band (SCI 69.47/100) — a skill likely to fall in demand as AI and automation cover more of its ground by 2030. ESCO classifies it as a cross-sector (useful across many industries) skill within skills. It is currently listed by 23 occupations in our catalogue, including Actuaries, Sociologists, Geographers, and ICT research consultant.

Category: skills › analysing and evaluating information and data SCI: 69.47/100 Also known as: apply numerical analysis to data, apply JMP statistical analysis techniques, apply minitab statistical analysis techniques

Occupations that require apply statistical analysis techniques

Showing top 20 of 23 occupations · ranked by India employment volume, then AI-durability.

Actuaries 👥 2,500 · 🤖 6.6/10
Sociologists 👥 500 · 🤖 5.2/10
Geographers · 🤖 4.9/10
ICT research consultant · 🤖 5.0/10
ICT research manager · 🤖 5.0/10
business economics researcher · 🤖 5.0/10
economic adviser · 🤖 5.0/10
geographic information systems specialist · 🤖 5.0/10
language engineer · 🤖 5.0/10
mine surveying technician · 🤖 5.0/10
monitoring and evaluation officer · 🤖 5.0/10
oceanographer · 🤖 5.0/10
predictive maintenance expert · 🤖 5.0/10
reprographics technician · 🤖 5.0/10
seismologist · 🤖 5.0/10
transport planner · 🤖 5.0/10
weather forecaster · 🤖 5.0/10
actuarial assistant · 🤖 5.5/10
computer scientist · 🤖 5.5/10
ICT system analyst · 🤖 5.8/10

Frequently asked questions

What is apply statistical analysis techniques?

Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.

What category of skill is apply statistical analysis techniques?

ESCO classifies apply statistical analysis techniques under the skills category, specifically in the analysing and evaluating information and data subcategory.

Is apply statistical analysis techniques an AI-durable skill?

McKinsey's Skill Change Index places it in the declining band (SCI 69.47/100) — 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 apply statistical analysis techniques?

In our catalogue, 23 occupations list apply statistical analysis techniques as a required or important skill. The top occupations by employment volume include Actuaries, Sociologists, Geographers, ICT research consultant, ICT research manager, business economics researcher.

How transferable is apply statistical analysis techniques between industries?

ESCO tags apply statistical analysis techniques as a cross-sector (useful across many industries) skill — a signal of how portable it is when you change field.

Is apply statistical analysis techniques the same as apply numerical analysis to data?

Yes — apply statistical analysis techniques is also known as apply numerical analysis to data, apply JMP statistical analysis techniques, or apply minitab statistical analysis techniques. They refer to the same underlying capability in the ESCO taxonomy.

How can I learn apply statistical analysis techniques?

The most reliable path is to pick a job or project that demands apply statistical analysis techniques 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.