A DNC School, the leading edtech responsible for transforming careers through practical education, sees a great opportunity for those wishing to enter or migrate to the technology and data analysis sector. The field continues to expand in 2025, driven by the increasing need for companies to use analytical intelligence to guide strategies, automate processes, and personalize services. To give an idea, the global market for analysis and artificial intelligence is expected to exceed US$ 500 billion by the end of the year, according to International Data Corporation (IDC).
In Brazil, accelerated digitalization and the growth of e-commerce have increased the demand for professionals capable of interpreting large volumes of information and generating strategic insights. Businesses in the financial, healthcare, and retail sectors are directing investments toward these solutions, aiming to improve customer experience, anticipate trends, and optimize operations. As a reflection of this movement, the demand for data scientists and machine learning engineers has skyrocketed, with salaries for senior positions exceeding R$ 20,000.
According to a recent survey by the edtech itself, this trend was confirmed with a ranking of the most sought-after training programs to help professionals reposition themselves in the market. The list shows the courses with the highest number of enrollments in the institution, based on the 23 available topics. Business Intelligence (BI) Analyst was the most sought-after course (34.5%), followed by Data Scientist (32%) and Data Analyst (26%).
"The top positions on the list reinforce that 'data' are the main professional bets for those looking to change their field in 2025," says Lucas Rana, CEO and founder of Escola DNC. "Technological advancement creates the need for companies to have skilled professionals to interpret and organize the vast amount of information in the digital universe, driving strategic decisions and revolutionizing industries," he/she/they completes.
For Bárbara Araújo, Engineering Manager at Escola DNC, companies seek more than just technical knowledge: strategic vision and communication skills are also required. "Transforming analyses into concrete actions is a competitive advantage. Companies value professionals who, in addition to interpreting indicators, can present results clearly and impactfully," he/she/they highlights.
The specialist explains the essential skills to enter the field."To stand out in the market, professionals in the field must develop both technical skills and behavioral abilities. In the technical area, the most valued knowledge includes SQL and data modeling, programming languages such as Python and R, BI tools (Power BI and Tableau), and fundamentals of applied statistics," he comments.
In terms of behavior, Bárbara says that analytical thinking is essential for questioning and interpreting information strategically. Similarly, effective communication is important to turn them into insights that underpin business decisions. "Data professionals should turn numbers into narratives that guide business management. The clearer this communication is, the greater the impact of the analysis," says the manager.
Common mistakes made by beginners
Beginner professionals often make mistakes that can hinder career advancement. One of the most common mistakes, according to Bárbara, is focusing exclusively on the use of tools without understanding the fundamental concepts, such as structuring metrics and statistics. Another critical failure is underestimating the importance of communication, as the ability to extract clear and actionable insights is as valuable as technical knowledge.
Failing to build a practical portfolio can also reduce the chances of standing out in the market. "Companies value projects applied to reality. Creating assessments with public data and publishing them on GitHub or social networks is an effective strategy to stand out," advises the specialist from Escola DNC.
How to stay up to date in the industry
With the rapid evolution of AI technologies and data exploration, staying updated is essential. Participating in specialized communities, following influential professionals on LinkedIn, and solving challenges on platforms like Kaggle and DataHackers are ways to continuously develop new skills. Finally, uncovering emerging technologies such as MLOps and cloud computing broadens career opportunities.
For those looking to enter the field, continuous learning and practice are the main allies. “O setor de dados está em expansão e precisa de profissionais que saibam aprender, se adaptar e resolver problemas reais”, conclui Bárbara Araújo.
