Data Analyst is the go-to expert for all operations related to the company’s databases. They assemble and processes data in order to assess business activity and make appropriate recommendations. Their job allows them to “make the data speak” by interpreting them.
This relatively new digital profession is essential in all sectors: commerce, finance, banking, insurance…
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Certainly, one of the first missions of the Data Analyst is to collect, process and study statistical data to produce business analysis and provide recommendations. That is to say, the analyst creates and models the various databases necessary to accomplish the tasks, ensuring proper functioning and the regular updating of the database.
The Data Analyst is also responsible for defining segmentation. To do this, they must find relevant data sources that allow them, for example, to define the target of marketing campaigns or identify consumer trends.
For example, extracting and translating business data into statistical data makes it possible to synthesize and popularize information. This data processing allows company managers and teams to analyze the data and use it to improve performance.
Above all, to be a successful, you must first of all love statistics. Reports, tables, graphs… are the main working tools of the Data Analyst.
An expert in Data Analysis musts also have mastery of statistical methodologies and associated mathematical models to set up efficient analysis systems.
Then, Proficiency in the DB SQL computer language, as well as in web analytics tools and data mining tools is often essential for data analysts.
Moreover, as this is an activity requiring the manipulation of encrypted data, the Data Analyst must be endowed with extreme rigour, having developed and analytical mind and fool-proof organization skills. Concentration is also one of the skills needed to be a good analyst. They also must keep abreast of new legal and regulatory regulations for data management.
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The Data Analyst is a more than buoyant function which is set to keep developing strongly. With the evolution of the IT landscape, companies face exponential growth in the number of data. Therefore, large companies in areas like finance, e-commerce, marketing, industry and medicine are the most likely businesses to recruit in this area.
The average daily rate is between €400 and €800.
In conclusion, to become a Data Analyst, college-level training is required. Companies tend to favour candidates who have followed courses in engineering, statistics, or even computer science.
To go higher up in this function then, it is recommended to pursue a specialized master’s program. Several career paths are possible, including as consultant positions such as Data Scientist, Business Intelligence Engineer, Data Engineer or even Chief Data Officer.
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