In all companies, of all sizes and in all sectors. It is not something new, in fact, digital transformation, formerly called computerization, is a phenomenon of the 80s of the last century. But since the advent of the Internet, it is a process that has only grown and accelerated. The continuous emergence of apps to interact with customers, and the use of complex applications in a SaaS (Software as a Service) format have led to the fact that every workplace has become a digital workplace.
Whether in sales, marketing, finance or logistics, any company department has two main characteristics:
The combination of both phenomena requires from professionals a set of digital skills that most of us do not possess.
Those professionals who possess the skills to improve processes and analyze data are the ones who will advance most quickly in their careers.
People who come to Ubiqum to make the digital transformation of their profile are of two types:
In both cases, the person is facing an investment, in time and money, which he or she hopes to be able to make profitable in the future, in the form of a better salary, a more rewarding job, better opportunities for advancement, or a combination of all of them.
Now, since 2016 when we started Ubiqum, the market has changed substantially. In two fundamental aspects:
Good training is essential to access a professional improvement, no doubt, but there are also other factors to take into account that must be properly managed in the process of personal digital transformation.
At Ubiqum we have developed an Employability Index that we use with our students. Here are the main lines.
If you are interested in this topic, do not hesitate to contact us for more information and we will be happy to help you identify your own profile.
To calculate the level of employability, it is necessary to be able to measure the following elements:
A. Technical skills developed. Each school should have a list of these skills in relation to market demands. The student’s greater or lesser degree of proficiency in each one of them, is a necessary but not sufficient factor in employability.
B. Professional thinking: Learning a few programming skills is just the beginning. It is similar to learning the syntax and grammar of a new language and not knowing how to hold a conversation. Ubiqum’s project based learning allows the student to develop the following professional skills that are highly valued in the company and essential in today’s management processes.
Ask yourself the following questions:
It is easy to see the difference between learning to program and being a junior developer or data analyst. Ubiqum students, upon completion of the course, will have developed the skills described above.
But, to be honest, there is a second dimension. Finding a job has different levels of difficulty depending on some elements that directly affect the candidate. It is important to be aware of them in order to thoroughly plan actions to manage the process successfully.
A. Work Permit. To have a job in any country, you need to be a citizen of that country or have a work permit. Not having one seriously complicates access to the market. It seems trivial but we often find capable and motivated people who do not yet have a permit because they are newly arrived foreigners.
B. Age. Fair or not, age has an impact on the process. A younger candidate is better suited to the requirements of a junior position, while an older one should place value on previous experience. Age is not an impediment, but it is an important issue to consider in order to manage it correctly.
C. English level. The world of technology is in English for two reasons. First, because most manuals and resources are in English and are not translated. Second, because the teams working in technology in large companies are usually organized in several countries and the common language is English. Again, it is not an insurmountable impediment but the higher the level of English the less difficult it is to get a job.
D. Adequate academic training. Finally, there is a reflection on the value of basic academic training and its value in the market. It is a fact that in the world of programming and application development, anyone can learn and find a job. Recruiters do not look at what you have studied but whether or not you know how to program in the languages that the company uses.
However, in the field of data analysis the issue is different. In this field a recruiter will first value a technical degree with a strong mathematical component (physics, mathematics or engineering), and secondly the experience in the company and business. A person who does not have a background in these fields will have a more difficult time finding a first job as a data analyst.
The employability/difficulty matrix
We see then that the result of the combination of both dimensions is a matrix with 4 quadrants:
Depending on the position in the matrix, each person must define, together with his or her career advisor, a personalized employment strategy. At Ubiqum we have success stories in all quadrants.
We are talking about difficulties, not insurmountable barriers, which means that hard work and high commitment can work miracles, and when a student works hard and is determined to start a new career, despite the difficulties he or she may encounter, he or she always eventually succeeds.
Getting hired after participating in one of our programs is a 50/50 game. We can’t help you get hired if you don’t work hard throughout the process and are aware of your strengths, weaknesses and the level of progress and achievement you are making in the program.
Any school that says otherwise, that its course guarantees you a job regardless of your profile, is lying.
Data Science. Just 10 years ago nobody was talking about this topic and today it is one of the areas in which the demand for expert professional profiles is growing the most.
Data science is an area of knowledge and professional practice that encompasses three distinct profiles but with important areas of overlap.
Are you interested in data science and want to know which tools are used? In this article we will introduce you from the most used tools that every analyst should know to the most advanced ones.
In the information age, data has become one of the most valuable assets for companies. However, simply collecting data is not enough; it is crucial to analyze it and transform it into useful information that can guide strategic decisions.
