A Escola DNC, principal edtech responsible for transforming careers with practical education, sees a great opportunity for those who wish to enter or migrate to the technology and information analysis sector. The area continues to expand in 2025, driven by the growing need for companies to use analytical intelligence to guide strategies, automate processes, and personalize services. For example, the global market for analytics and artificial intelligence is expected to exceed $500 billion by the end of the year, according to the International Data Corporation (IDC).
In Brazil, accelerated digitalization and the growth of e-commerce have increased the demand for professionals capable of interpreting large volumes of information and generating strategic insights. Businesses in the financial, health, and retail sectors are directing investments towards these solutions, aiming to improve customer experience, anticipate trends, and optimize operations. As a result of this movement, the demand for data scientists and machine learning engineers has surged, with salaries for senior positions exceeding R$ 20,000.
According to a recent survey by the edtech itself, this trend has been confirmed with a ranking of the most sought-after training programs to help professionals reposition themselves in the market. The list features 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 first positions on the list reinforce that ‘data’ are the main professional bets for those looking to change their field of work by 2025,” says Lucas Rana, CEO and founder of Escola DNC. “Technological advancement creates the need for companies to have professionals who can interpret and organize the vast amount of information in the digital universe, driving strategic decisions and revolutionizing industries,” he concludes.
For Bárbara Araújo, Engineering Manager at Escola DNC, companies seek more than just technical knowledge: a strategic vision and communication skills are necessary. “Turning analysis into concrete actions is a competitive advantage. Companies value professionals who, in addition to interpreting indicators, know how to present results clearly and impactfully,” she 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 competencies and behavioral skills. In the technical field, the most valued knowledge includes SQL and data modeling, programming languages such as Python and R, BI tools (Power BI and Tableau), and applied statistics fundamentals,” she comments.
Regarding behavioral aspects, Bárbara says analytical thinking is essential for questioning and interpreting information strategically. Similarly, effective communication is important to turn them into insights that support business decisions. “Data professionals must turn numbers into narratives that guide business management. The clearer this communication is, the greater the impact of the analysis,” affirms the manager.
Common mistakes made by beginners
Beginner professionals often make mistakes that can hinder career advancement. One of the most common errors, according to Bárbara, is to focus exclusively on using tools without understanding the fundamental concepts, such as metric structure 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 decrease 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 efficient strategy to stand out,” advises the Escola DNC specialist.
How to stay updated in the sector
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, unraveling emerging technologies, such as MLOps and cloud computing, broadens career opportunities.
For those looking to enter the field, continuous learning and practice are key allies. “The data sector is expanding and needs professionals who know how to learn, adapt, and solve real problems,” concludes Bárbara Araújo.
