Career Guide
What jobs are available in data?
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The current professional environment is increasingly focused on technology and massive data collection. As a result, data-related professions are becoming increasingly important. This includes several aspects, such as predictive analysis, artificial intelligence, and database management. This multiplies professional opportunities in this constantly evolving field. Discover them below.
In summary:
- Career opportunities in the field of data continue to grow with the increasing interest in the sector.
- The most sought-after professions are data analyst, data engineer, data scientist, and Big Data architect.
- To work in this field, qualifications range from Bachelor’s to Master’s degrees.
- Specialized training in data science, artificial intelligence, or big data is recommended, particularly those offered by l’ECE.
Why work in data?
There are many reasons to work in data. This field offers a multitude of careers across various sectors. Indeed, data has become a central pillar in decision-making for companies, regardless of their industry.
Choosing a career in data means selecting a dynamic field that is constantly evolving. There is no place for monotony; it is necessary to keep up with trends and innovations in the marketplace. Thus, you are always up to date.
Moreover, the demand for hiring professionals in this sector continues to grow. These specialists help companies analyze the information at their disposal and extract useful insights from it. The latter allows them to
establish effective strategies.
What are the most sought-after data jobs?
Data analyst
The data analyst is responsible for processing and interpreting data. Their goal is to extract useful information. To conduct analyses, they use statistical tools. At the same time, they study the market to identify trends and patterns. Afterwards, they create reports that will guide the strategic decisions of the company.
Data engineer
The data engineer is tasked with designing, building and managing the infrastructure for data processing. He works closely with data scientists in preparing information for analysis.
Data scientist
The data scientist analyzes complex data. He uses advanced techniques in statistics and machine learning. His role is to create predictive models and extract relevant insights for the business.
Big Data Architect
The Big Data architect is the one who designs and implements the digital ecosystem of the company. This serves for storing, analyzing, and managing large volumes of data. Among his tasks, he ensures the integrity, availability, and security of sensitive information.
Machine learning engineer
The machine learning engineer is responsible for developing machine learning models. These programs are used to make predictions and to make informed decisions. This professional collaborates with data scientists to implement and optimize these models.
What is the salary of a cybersecurity analyst?
The development of digital technology has significantly evolved in recent years and the demand for cybersecurity experts is growing. An increase of 36% is expected by 2024. Previously concentrated in specific fields
- Banking
- Military
- Medical
- Energy
Today, the demand has become democratized and affects all sectors of the company. Thus, the role of analyst is in high demand, which makes it largely unaffected by unemployment. It is estimated that it will be one of the most sought-after professions in the coming years, on an international level. On average, the remuneration for analysis is estimated at around 42,500 euros net per year. Of course, this figure remains relative and varies depending on the level of experience and the size of the company.
What degrees are needed to work in data?
Data professions require a high level of competence in sciences, mathematics, statistics, and computer science. The required certifications range from a Bachelor’s degree (Bac +3) to a Master’s degree (Bac +5). Engineering degrees and doctorates are necessary for research or in-depth expertise positions.
What training should you follow to work in data?
To prepare for the data professions, it is advisable to follow specialized training focused on mathematics and statistics. One must acquire practical skills in programming (Python, R) and in database management.
Higher education programs in data science, artificial intelligence, or big data offer an appropriate curriculum. They allow for the combination of theoretical courses and practical projects. Continuing education, boot camps, and MOOCs can also be good complements.
Which program to choose at ECE to train for data professions?
Data Developer specialization of the Bachelor’s in Computer Science
The Data Developer specialization, accessible after a high school diploma, is a bac +3 level degree offered by ECE. This program allows for quick training in data professions such as data scientist, data strategist, consultant, or software developer. It also provides the opportunity to pursue further studies in the field. For more information, visit our FAQ section.
Data & IA Major of the Engineering Program
The Data & IA Major, leading to a bac +5 level degree, trains students for careers as data project managers, data architects, data scientists, and data engineers. This training is ideal for those who wish to hold key positions in the field of data and artificial intelligence.
MSc Data engineer
The MSc Data engineer is a bac +5 level program that prepares for careers as AI developer, AI project manager, AI consultant, data analyst, and data scientist.
MSc Data management & artificial intelligence
This bac +5 level program aims to train professionals for positions as data managers, data protection officers, chief data officers, or even cloud and data architects.