Statisticians - Occupations - VTC Occupation Dictionary

Descriptions & Duties

Statisticians apply statistical methods to collect, organise, interpret and analyse numerical data to provide usable information. They are also responsible for evaluating the statistical methods and procedures used, studying the factors that could affect the results of research and the reasons of high survey nonresponse rates or sampling error, reporting conclusions or results, supervising and instructing workers to collect and tabulate data.

Generic Competencies

Physical abilities

Technology
skills

Cognitive
abilities

Comprehension and expression

Social skills

Organisation and execution skills

Problem
solving skills

Management
skills

Physical Abilities

Physical abilities

Physical strength
Eye hand coordination / precision / dexterity

Importance:1 (Max:5)

Skill is rarely required

Technology Skills

Technology skills

Computer literacy
Application of technology

Importance:4 (Max:5)

Skill is frequently required

Cognitive Abilities

Cognitive abilities

Creativity
Visualisation
Logical thinking

Importance:4 (Max:5)

Skill is frequently required

Comprehension And Expression

Comprehension and expression skills

Reading comprehension
Oral / written expression

Importance:4 (Max:5)

Skill is frequently required

Social Skills

Social skills

Communication
Negotiation
Persuasion

Importance:3 (Max:5)

Skill is basically required

Organisation And Execution Skills

Organisation and execution skills

Planning
Organising
Judgement
Decision making

Importance:5 (Max:5)

Skill is required all the time

Problem Solving Skills

Problem solving skills

Ability to solve simple and complex problems effectively and efficiently

Importance:5 (Max:5)

Skill is required all the time

Management Skills

Management skills

Leadership
Management of finance / time / people / other resources

Importance:4 (Max:5)

Skill is frequently required

Trade Specific Competencies

Mathematical skills

Statisticians have to use statistics, calculus, and linear algebra to develop their models and analyses.

General Requirements

Academic qualification

A recognised bachelor's degree or master's degree, typically in statistics, mathematics, or equivalent. A Ph.D. is necessary for most basic research and academic teaching positions.