It is very likely that, at least once, you have heard of Big Data, whether you are a professional in the technology sector or not. This discipline has become popular in recent years due to the growing production of data generated by companies. Big Data is nothing more than the result of the need to manage and analyze informationand makes the possibility of taking advantage of it viable.
In the same way, while interest in this subject is increasing, the demand for experts in data analysis imitates the same trend. It is a relatively young sector, which needs talent and has much left to innovate.
But then how to work in Big Data? How can you break that barrier to entry. Well, Juliá Hidalgo Donante has decided to take the step and, three years ago, changed marketing for Big Data. Nowadays is freelance specialized in Power BI and joined us in a webinar with Magdalena Murtra, Community Builder at Malt, the largest freelance digital platform in Europe, where Júlia and thousands of freelancers offer their services.
All companies need Big Data
If you are interested in knowing how to work in Big Data, you should know that today, all companies, from the largest to the smallest, generate data and in large quantities. For this reason, they all need data analysts and, as Hidalgo says, “the more data, the better.” It is the best tool to grow, achieve business objectives, evolve in the market, identify opportunities and broaden horizons.
It is also true that it is a very demanding job and, as a data analyst, the most important thing is to have commitment, evolution and perseverance. The first has to do with the trust that clients place in you and, consequently, the responsibility you have to assume to not lose it. And by evolution we mean the need to always be aware of all the news and trends in the sector.
When we talk about perseverance we are referring to dedication, discipline and improvement, both from a professional and personal point of view, in an environment where continuous training is an intrinsic need in this path of how to work in Big Data.
How to work in Big Data?
However, although the field of working in Big Data is demanding, There are numerous advantages of this tool. One of them is the possibility of being able to work as freelance. This work modality is not only attractive for the flexible hours or the fact that you can do it from home, but your professional growth only depends on you.
Of course, to know how to work in Big Data, not everything is black and white, but the gray of this great challenge is building your client portfolio from scratch and getting your first projects.
This is where your sales skills come into play. Fortunately, there are more and more digital platforms that facilitate contact between professionals and companies. Magdalena Murtra works in one of them, Malt. As a Community Builder on this platform, she has given us several tips to succeed as freelance in the digital age.
From the recommendations that Mudra offers us, It is worth highlighting the importance of creating a portfolio where we can showcase our projects, even if we have not had the opportunity to work for third parties, It can be made up of personal projects! The important thing is to show your potential and make it clear how far you can go.
On this path of understanding how to work in Big Data, it is also important to follow up with clients, after the work has been delivered, to build loyalty and increase the chances of them recommending you to their circle.
In short, how to work in Big Data is a booming issue. For this reason, many people decide to specialize in it, encouraged by the growing demand for professionals and the professional advantages. Companies continue to generate data, promoting the need for experts to analyze it. And everything indicates that the trend will continue to be like this.
Now that you have learned how to work in Big Data, we leave you here the complete webinar of our meeting so you can watch it in full, write down the advice and clear all your doubts.
If you are thinking of taking your first steps in the world of Big Data, Artificial Intelligence or Machine Learning, or you simply need to refresh your professional profile, we encourage you to learn about our Big Data, Artificial Intelligence & Machine Learning Full Stack Bootcamp, there you can learn everything you need to become a professional in the area.