Data Analyst: a profession of the future that recruits!

The job of a data analyst is growing with the advancement of new technologies and the emergence of a new type of business based on data and its analysis. It is a profession of the future, but its training requires time and involvement since it is a very specialized and demanding field.

However, it may be very wise to take an interest in it, because given the relative scarcity of these data technicians, having the necessary skills to exercise this profession is the assurance of a data analyst job, which is moreover fairly well paid. Data analysts are paid between an average of $69,517 per year, according to Glassdoor.

Who is a Data Analyst?

Today it can be quite complicated to identify precisely who a Data Analyst is, what are his missions, and how to differentiate him from his cousins in the data team (data scientists or even data engineers). And this is normal because all these professions are recent and born thanks to the digital boom. It is still a very young and quite mystified field but very accessible with certain pre-requisites (in particular mathematics) and good training.

The main missions of the data analyst are to recover, clean, analyze and process data to use them to help decision-making. It is therefore a fairly strategic and important position because it is his work that will influence the direction the company takes. He is proficient in tools such as Python (programming language) or PowerBI ( Business Intelligence software ) and therefore his training cannot be taken lightly.

What are the job openings and opportunities for data analysts?

Once the skills have been acquired, it is relatively easy to find a job that allows you to flourish in this way. First of all, the rarity of these profiles and the precision required to operate at a high level make this profession one of the most sought-after on the job market today. Companies are gradually starting to realize the paramount importance of data manipulation and therefore the need to have a data team in its ranks. As a result, the job offers are both numerous and very advantageous, whether in terms of salary or the benefits promised by the box.

Companies from all sectors are looking for Data Analysts, from football clubs to banks, video games, and aerospace. Some companies opt for training their employees in these trades, hence, recruiting internally and therefore reduce costs.

But a good profile will always attract their attention and they will be able to be convincing if they are interested.

The salary range is between $40 and 60k per year at the start of your career and can rise further with increasing skills and seniority.

What are the education backgrounds of data analysts?

The profiles of data analysts are very diverse, many have an engineering background or are focused on mathematics, but there are more and more people who are interested in this discipline without having this background. In particular, we see many people with a commercial or business-oriented background moving towards data analysis, either for retraining, or to acquire skills in the context of their current job.

This knowledge is complex, but there are high-quality data training organizations that support the process, from the desire to train to the search for job offers and preparation for interviews.

In Conclusion

In conclusion, data jobs are interesting, promising jobs that hire a lot, so don’t hesitate any longer. If you have an appetite for mathematics, the world of data, or if you want to expand your knowledge to increase your standard of living, train yourself and be part of this movement, you will not regret it!

About Odutolu Timothy

Passionate about technology and communication, Timothy Odutolu has more than 5 years of experience writing for various niches in these fields. He's more comfortable writing about the key trends in the business-to-business software-as-a-service (B2B SaaS) niche. He is also a generalist with interests in journalism, DIY and outdoor, and other writing services. He's reachable via Twitter, LinkedIn, and email through or

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