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Creative people are drawn to careers and activities that enable them to take responsibility for the design, layout or sensory impact of something (visual, auditory etc). They may be atrracted to the traditional artistic pursuits such as painting, sculpture, singing, or music. Or they may show more interest in design activities, such as architecture, animation, or craft areas, such as pottery and ceramics.

Creative people use their personal understanding of people and the world they live in to guide their work. Creative people like to work in unstructured workplaces, enjoy taking risks and prefer a minimum of routine.

In this Sector...

Data Analysis

Data Analysis

Human activity now creates immense tracts of data. What we do online is tracked and increasingly what we do in real life can be tracked. For companies and governments this creates immense possibilities to understand society, customers or technology.

Harnessing this potential requires technical skills, of which maths is perhaps the most significant. In the new information economy, mathematic ability is extremely important.

Much of the work of data analysis is computer driven, utilising software programs or programming languages to organise and analyse data sets. But the underlying analysis is driven by mathematical algorithms and models. As a result, a career in data analysis would benefit greatly from an aptitude for maths.

Occupations in Data Analysis
(sorted by Job Zone)

Data Scientist

Uses strong business acumen, coupled with an ability to communicate data findings to influence how an organisation approaches business challenges.

Risk Analyst

Responsible for identifying and analysing areas of potential financial risk that threaten the assets, earning capacity or success of an organisation.

Software Engineer

Develops, creates, and modifies general computer applications software or specialised utility programs.

Data Analyst

Performs analysis of data and works out how the findings of the analysis can best be applied to profit the business.


Conducts research into physical phenomena, develops theories and laws on the basis of observation and experiments, and devises methods to apply laws and theories to industry and other fields.

Research Scientist

Plans and carries out experiments and investigations to increase scientific knowledge in a range of areas such as life sciences, including physiology, pharmacology, microbiology, plant sciences.


Uses mathematics to solve problems in industry, commerce and technology.

Big Data Specialist

Works with the collection and analysis of massive amounts of data obtained from computer and internet users.