The Data Analyst is in charge of creating the databases the business needs and ensures that they run smoothly. Within the company, he is responsible for database architecture, database administration, and data modeling. In addition, his mission is to develop segmentation criteria in order to precisely analyze the numbers and comb through all the data.
Concretely, the Data Analyst must use statistical techniques and specialized IT tools in order to organize, synthesize and translate the information that companies need to facilitate decision-making. The specificities of the position compared to the more traditional Data Miner then lie in the volume of data processed and the mastery of tools specific to Big Data. Unlike the Data Scientist, the Data Analyst generally only analyzes data from a single source (CRM for example).
Its mission is to develop segmentation criteria in order to precisely analyze the figures.
The Data Analyst's mission is to exploit and interpret the data to derive useful business observations. Thus, the reports provided make it possible to orient management decision-making and improve marketing performance and strategies.
The Data Analyst creates, administers and models the database and ensures that it is regularly updated to facilitate its use by business teams. Indeed, he plays a key role because he often has to work with several teams and the results provided will have an impact on the growth of the company. The developers will facilitate the analysis of the data that it will then make available to the Marketing, Finance, Sales and Management teams.
The soft skills of a Data Analyst are:
Several options are possible to become a Data Analyst. Training for this job requires at least a 4-year course, or even 5 years, this being due to the difficulty of the position. It is strongly recommended to go for training in computer engineering, statistics with a major in computer science or a master's degree in marketing.
As the world of Big Data is constantly evolving, there are many opportunities for Data Analysts. For example, they can work in different sectors such as finance, commerce or industry. Many Data Analysts then move on to the profession of Data Scientist.
Junior: 35-42 K € (0 to 3 years of experience)
Confirmed: 45-54 K € (4 to 8 years of experience)
Senior: 55-70 K € (8 years and over)
As a recruitment firm specializing in the French digital sector, we are a privileged witness to salary trends and developments in the Tech professions. As every year, we offer a salary study with the salary ranges for tech professions in Île-de-France and regions.
Le Data Analyst est en charge de créer des bases de données dont l’entreprise a besoin et veille à la bonne marche de celles-ci.
Le Chief Data Officer a pour fonction de faciliter l’accès aux données et de repérer celles qui sont les plus importantes à extraire, afin de faciliter la prise de décision au sein de son entreprise.
Le métier de Data Scientist est devenu central dans le paysage professionnel moderne. Avec l'explosion du big data, le data scientist est le gardien des données, maniant des compétences en science des données, en statistiques et en machine learning pour transformer des données brutes en insights actionnables.