Emerging Occupations

Emerging Occupations Alexander Vilagosh Mon, 09/20/2021 - 18:21

What are emerging occupations?

Emerging occupations are defined as new, frequently advertised jobs which are substantially different to occupations already defined in the Australian and New Zealand Standard Classification of Occupations (ANZSCO). The National Skills Commission has identified and validated 25 emerging occupations within seven categories in the Australian labour market.

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Emerging occupations arise as we adapt to new challenges and opportunities over time. Previously, new skills have been adapted more gradually. Recently, the need to adapt and learn new skills has arisen quite quickly in response to COVID-19. Manufacturers have learnt new techniques to make unfamiliar and in-demand products, and restaurant owners have quickly developed or enhanced their skills in e-commerce.

There are some instances where the skills required for certain jobs can change without changing the occupation fundamentally. For example, advances in the way we store and organise information mean we can more easily access a wider range of knowledge than in previous decades. As a result, librarians spend less time dealing with the physical management and transport of information, and more time assisting people to understand how to access, understand and use that information.

In the case of statisticians, however, emerging skills have changed the nature of some traditional statistician roles enough that the new occupations of Data Scientists and Data Analysts have emerged. You can learn more about how we defined and identified our emerging occupations, as well as see the profiles for all 25 emerging occupations on the NSC website (nationalskillscommission.gov.au/emerging-occupations).

Emerging occupations profiles

Emerging occupations profiles Alexander Vilagosh Tue, 09/21/2021 - 11:05

Solar Installers

Solar Installers assemble, install, or maintain solar photovoltaic systems on roofs or other structures in compliance with site assessment and schematics. This may include measuring, cutting, assembling, and bolting structural framing and solar modules. Solar Installers may perform minor electrical work such as current checks.

Their main tasks include installing solar systems, repair and maintenance of solar electrical systems, and estimating work requirements for quotes. The number of persons employed in this occupation grew from 1,900 in 2015 to 5,740 in 2019. Solar Installers earn a median weekly wage of $1,200 and 50% have a certificate III or IV level qualification.

Solar installers. 6% female. 42 average hours worked per week. 80% employed full-time. 33 average age.


Nurse Liaisons

Nurse Liaisons foster the relationship between patients and the facilities providing their care. Nurse Liaisons establish patients’ eligibility for care, communicate with families, and interact with a wide range of staff members, from admissions coordinators to case managers to physicians. They work in acute care, long-term care, hospice and rehabilitation environments.

Their main tasks include arranging care for patients, assisting patients in appointments, liaising with health care staff for patient health matters, ensuring consumer rights, and following up on insurance claims for patients.

The number of persons employed in this occupation grew from 1,950 in 2015 to 2,820 in 2019. Nurse Liaisons earn a median weekly wage of $1,870 and 41% have no post-school qualifications.

Nurse Liaisons. 92% female. 31 average hours worked per week. 75% employed full-time. 48 average age.


Data Scientists

Data Scientists find, manage and interpret rich data sources. They build mathematical models, present and communicate data insights and findings, and recommend ways to apply data.

Their main tasks include developing machine learning models, data mining, data analytics, visualisation, reporting and consultation.

The number of persons employed in this occupation grew from 450 in 2015 to 3,210 in 2019. Data Scientists earn a median weekly wage of $2,040 and 89% have a bachelor degree or higher qualification.

Data Scientists. 32% female. 39 average hours worked per week. 92% employed full-time. 37 average age.