Land a job as an Analytics Engineer and step into a world of opportunities!

In order to participate in the Analytics Engineer training course, you should have a good understanding of mathematical concepts and numbers, which can be demonstrated through the passing of the related placement test. Please feel invited to get in contact with our educational advisors to receive more information on this test. Furthermore, since the terminology, documentation, and online platform are in English, you need to speak at a B1 level at minimum.

These prerequisites exist because although the training is centered on data science, and not mathematics, these are necessary for a good understanding of the logical principles of the concepts covered.Furthermore, programming is essential for the development and production of any machine learning project. For this, a certain level of programming knowledge is an advantage. Since the terminology, documentation and online resources are in English, you should speak at least a B1 level English.

On your first day of training, you will be presented with a dedicated career services platform containing all the essential workshops for your job search. You can access it continuously, even after your training has finished. The Career Management Pole is entirely dedicated to you throughout your training. It is possible to book an individual appointment with one of them to support you and answer your questions about your career project.

Each month: – A full day is organized to help you optimize your job search with various topics on presentation, career change, salary negotiation and technical test practice. These topics are supplemented by other workshops to be defined according to individual needs. – You benefit from a career workshop with theintervention of an expert senior consultant. – Various topics to help in the job search are addressed: how to combat imposter syndrome, how to build a network, how to write a good CV and Data-oriented Linkedin. – Take part in anAlumni Talk. An alumni takes the floor to share his or her experience of training, job hunting and giving you tips. On the other hand, concrete actions are put in place to support you in your job search: the recruitment fair organized by DataScientest with its partner companies, organization of Webinars with expert data speakers, communication actionsto boost your visibility (CV Competition, DataDays, Project Articles published on the blog and external reference media).

Finally, you should know that a specific slack channel has been set up, for people looking for work, on which all workshop information and job offers pass. To find out about all DataScientest’s career support actions, click on this link.

The salary of an Analytics Engineer in Europe is influenced by several key factors such as experience, skill level, and geographical location. According to Talent.com, the median annual salary for this position is around €54,000. However, this amount can vary considerably depending on experience: beginner professionals can expect to start with a salary around 43,625 € per year, while those more experienced can reach or exceed 78,000 € annually.

Demand for Analytics Engineering skills, which can fluctuate according to market needs, plays a role in determining salaries. In addition, geographical location is a significant factor: salaries tend to be higher in major cities, countries and regions with a well-developed technology sector. Finally, accumulated experience, advanced skills and certifications can also increase the earning potential of these professionals.