â€œIve always had a strong appetite for digital,â€ says Renaud Colin. This Jurassia, installed near Lons-le-Saunier, learned to tame software and computer databases to extract information useful to businesses. An experience that he has gained over time after having worked for ten years in the Department of Law in the field of GIS platforms (geographic information systems). Today his daily life consists of 'web tracking', 'business intelligence' and 'data visualization'.
â€œWhen I started my company in 2014, I mainly focused on analyzing geolocated data. Then I opened up to a larger field of data by training myself online. â€œHis work as a data scientist led him to play the role of computer scientist, mathematician, statistician ...
'The smallest company has to use data'
'We help companies make their decision by creating algorithms and extracting statistics,' summarizes Renaud Colin. â€œThis can be used for activity management, as in the case of a company that wants to deepen its customer knowledge or analyze the typology of markets. In industry we can also identify this or that variable and explain the rejection rate when making a part on a line. ''
Its services also make it possible to create predictive models, â€œfor example for the number of customers lost and gained by subscribing to a service. Â»There are many applications and affects all trades. â€œIn the HR department, we can also define a fluctuation rate based on certain parameters. ''
Le Jurassien works for both SMEs and a start-up in the wine sector in Paris and for large customers in the coworking world. However, smaller companies tend to remain cautious 'although this is becoming more democratic,' notes Renaud Colin. â€œToday the smallest company has to use billing software and suddenly data. ''
In a very similar way, the tasks of the data analyst and the data engineer differ mainly in terms of competence. Be that as it may, 'it doesnt matter how you spend the day with computer programs,' explains the Jurassian. We are in constant contact with the technical information services and frequently travel to companies. ''
There is still little special training available in big data professions. Typically, to work in this environment, you must have a degree in IT, management, math, statistics, or marketing. However, there are a number of targeted Masters such as MIASHS: Geomatics, Geomarketing and Applications (offered in Paris 8) or those that are oriented towards data science (at Grenoble INP Ensimag or Polytech Nantes) and MSC (Master of Sciences). : Big Data for companies (at the Ã‰cole Polytechnique - HEC) or even Data Sciences & Business Analytics (at the Centrale Supelec).
Closer to the region, there are also engineering degrees with a big data specialization such as the IAMD: Engineering and Applications of Masses of Data (at TÃ©lÃ©com Nancy). Bootcamps data can also be accessed as part of a retraining course. These short and intensive training courses usually last no longer than a year. The salary of a beginner varies between 35,000 and 40,000 euros and for an experienced professional can be between 60,000 and 70,000 euros.