ADNC School, chief 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 customize services. To get an idea, the global market for analytics and artificial intelligence is expected to exceed US$ 500 billion by the end of the year, according to the International Data Corporation (IDC)
In Brazil, the accelerated digitization and the growth of e-commerce have increased the demand for professionals capable of interpreting large volumes of information and generating strategic insights. Financial sector businesses, healthcare and retail are directing investments towards these solutions, seeking to improve the 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 that can exceed R$ 20,000
According to a recent survey by the edtech itself, this movement was proven with a ranking of the most sought-after training programs to help professionals reposition themselves in the market. The list includes the courses with the highest number of enrollments at the institution, based on the 23 available themes. 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' is the main professional bet for those looking to change career in 2025", says Lucas Rana, CEO and founder of DNC School. The technological advancement creates the need for companies to have qualified professionals to interpret and organize the large volume of information from the digital universe, driving strategic decisions and revolutionizing industries, complete.
For Bárbara Araújo, Engineering Manager of DNC School, companies seek more than just technical knowledge: a strategic vision and communication skills are required. Transforming analyses into concrete actions is a competitive advantage. Companies value professionals who, besides interpreting indicators, know how to present results clearly and impactfully, 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 field, the most valued skills include SQL and data modeling, programming languages like Python and R, BI tools (Power BI and Tableau) and fundamentals of applied statistics, comment
Already in the behavioral aspect, Bárbara says that analytical thinking is essential for questioning and interpreting information strategically. In the same way, effective communication is important to transform them into insights that support business decisions. Data professionals must convert numbers into narratives that guide business management. The clearer this communication is, greater will be the impact of the analysis, affirms the manager
Common mistakes of beginners
Beginner professionals often make mistakes that can hinder career advancement. One of the most common mistakes, according to Bárbara, is to focus exclusively on the use of tools without understanding the fundamental concepts, as structuring of metrics and statistics. Another critical failure is underestimating the importance of communication, since 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 media is an effective strategy to stand out", guides the specialist from DNC School
How to stay updated in the industry
With the rapid evolution of AI technologies and data exploration, being up to date is essential. Participate 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, uncover emerging technologies, how MLOps and cloud computing, broadens career opportunities
For those who wish to enter the field, continuous learning and practice are the main allies. "The data sector is expanding and needs professionals who know how to learn", to adapt and solve real problems, concludes Bárbara Araújo
