Data science is a term that translates as “data science”. At the moment, profiles trained in this discipline are increasingly sought after by companies. Data Analyst, Data Engineer and Data Management, each of these professions responds to particular challenges. To provide you with more information, please follow this guide.
What are the roles of a Data Analyst, Data Scientist, Data Engineer and Data Management
First of all, it is good to remember that professions, such as Data Analyst, Data Scientist, Data Engineer and Data Management, have one thing in common. They are specialists in numbers, statistics, and computer programs.
SwitchUp has been assisting students wishing to pursue training in these professions since 2014. It takes care of the experience of students and alumni during a choice of various bootcamps, such as line coding, data science, website creation, cybersecurity, etc. So, you can get more information on this subject to discover the 4 careers offered by the DataScientest bootcamp .
Data analyst and data scientist
The Data Analyst and the Data Scientist are responsible for cross-referencing data with those made available via web services and other mobile devices (Smartphones) in the company. Their goal is to give meaning to this information and extract value from it in order to help the company make operational or strategic decisions.
Of course, as part of this, they create models and algorithms to store, collect, process and return data. This form of creativity differentiates the Data Scientist and the Data Analyst. They are endowed with a capacity for imagination, particularly regarding new analysis models in the processing of raw and heterogeneous data, which cannot be studied using database management software.
Data engineer
The role of the Data Engineer within a company is to create platforms and data warehouses to facilitate the task and process a large volume of data. It also ensures the clarity and security of this information so that experts can analyze it in the best conditions.
During the data cycle, the Data Engineer completes the first two stages: collection and storage. Once this task is accomplished, the Data Scientist professions take over to analyze the requests and translate them into commercial recommendations for their company. Once the models are trained, the Data Engineer comes into play again to put them back into production.
Data management
In addition to the exponential growth of digital data in a company, we must know how to anticipate and use practical methods: Data Management. It supports the design and implementation of the IS architecture and the process that stores, collects, secures and uses a company’s data. It is important to use this information to provide decision-making support that can influence the company’s future.
Data Management is a growing field, but it requires specific skills in management and engineering. The development of innovative products presents its second challenge.
What training do you need to follow to become a Data Analyst/Data Scientist?
In general, this position requires a person with a bac + 4 or bac + 5 in management, IT, statistics or marketing. Certain bac + 3 level training courses allow you to occupy assistant positions.
Here are some examples of training following the baccalaureate level!
- Bac + 3 level : BUT IT, professional license, IT professions (information systems and data management, storage infrastructure and massive data analysis), professional license for decision-making and statistics professions, specialized school diploma .
- Bac + 5 level : Master MIAGE (computer methods applied to business management), Master in computer science (optimization and operational research), Master SIAD (information and decision support system), Master in mathematics (statistics for evaluation and foresight), Master in mathematics and applications (applied statistics and decision analysis), Master in data sciences, Master in big data and social analysis, engineering degree with specialization Big Data (statistics and computer science).
- Bac + 6 level: Specialized Master’s degree in Big Data (management and analysis of massive data, management analysis, and responsible valorization).
To conclude, you should know that after significant experience, the Data Analysts can advance their career toward Data Science functions. The salary for this job is very motivating, as it can vary between €50,000 and €60,000.
