The demand for skills in the labour market is changing with increasing frequency. What was expected of a worker two decades ago is very different from what is demanded of them in terms of skills today. And in recent years, skills related to STEM (science, technology, engineering and mathematics) have increased significantly.
Among the most sought-after job positions
concepts market demand such as artificial intelligence, robotics and cloud computing, but also critical thinking and customer orientation. What are companies demanding today? What skills are most in demand in the labour market?
What jobs are most in demand?
One of the most interesting publications today dataset is the ‘Emerging Jobs Report’ published annually by LinkedIn. The report is based on both market analysis and its own internal data when analysing the offers published on this platform.
In this report, ’emerging’ refers to those jobs that will improve your email deliverability and sender reputation are in greatest demand , many of which face serious obstacles in filling the positions offered due to a lack of qualified people. In other words, it is an unmet demand in which the employee can impose conditions on companies, such as high salaries.
This list will be useful for anyone wondering
which positions to direct their studies towards given the positive trend in demand. That is, when in a few years the student has finished his studies, it is expected that there will be a high demand in the market for these positions, although at present they are still taking off in some regions. Here is the list based on annual growth in Spain / United States:
A quick comparison between the two columns
shows us how the US market is more belize lists stable in most of the in-demand professions because it is a couple of years ahead. It also tells us which skills could be relevant in the near future in Spain.
What skills do these fast-growing jobs require?
The list above shows the job titles or their general category. As market demand mentioned, knowing these is especially useful when it comes to career guidance, but it is not yet a list of skills . The difference is very important: while artificial intelligence engineering is growing significantly, the specific skills that lead to it are growing even more.
Some of these specific skills
tools or capabilities that are booming for these and other jobs are:
● Programming skills , with a focus on Python, R, Git, C, C++, C#, Java, Apex, Salesforce, Visualforce Pages, Oracle Application Express, Matlab, Scrum, Linux, Owasp, or SOQL. Demand varies by field. For example, Python is highly valued in science.
Computer engineering-based skills
such as metadata analysis, blockchain, cloud and mixed cloud architecture, or smart contracts. These skills go far beyond cryptocurrencies, one of the most frequently mentioned applications.
● User-oriented design skills , both in the UX (useful or usable design) and UI (visual part of the interface) aspects. This field also includes the development of intuitive and inclusive interfaces for groups with disabilities.
● Mathematical skills , especially those related to numerical modelling that help solve real-world problems. These are required in all types of social analysis, animal behaviour, demand analysis, and even the now-trendy pandemic modelling.
● Engineering skills , both those related to the modelling of physical solutions (applicable in robotics), such as the development of circuits (electronics) or skills in management, statistics, etc.
It is clear that all of these activities have a strong technical component and, unlike other technical qualifications such as legal assistance or healthcare technicians, the most in-demand skills all fall within the STEM category (an acronym for science, technology, engineering and mathematics). Of course, it is also interesting to combine these types of skills with other less technical ones.
What is the demand for so-called ‘soft’ skills?
Both the list of careers and jobs and the specific skills that appear in this article require other complementary skills that serve as support but that are found in more diffuse market demand or less specific categories. These are the so-called soft skills , which are much more elusive, difficult to analyze and even to learn or transmit.
While there are dozens of courses to learn to program in Python, divided by levels, it is extremely complex to train a student in analytical reasoning or critical analysis of the business context. The type of training required is different, and often requires experience or simply personal skills that are not easily transmissible.
As an example it is easy for one worker
To teach another how to use a cash register. But it is extraordinarily difficult for him to know how to convey personal charm. The positivity he brings to conversations with customers. Or the charisma he demonstrates to attract them. A short list of the most common soft skills could be:
Analytical reasoning such as that used to make. Sense of seemingly unrelated data sets. Being able to visualize new lines of business, or making strategic. Decisions using synthetic data from a dashboard.
Critical thinking when analyzing data. Identifying and discarding those elements that lack value. As well as knowing how to prioritize those that do have value by being self-critical.
