Job sheet

Data miner: profession, missions and salary

Data miner roles and missions

Data miners have become increasingly popular with the rise of technology and data analysis, and their roles and missions are crucial to any business. Here are the main ones: First of all, a data miner's main mission is to extract data from various sources and organize it in such a way as to make it accessible and usable. Extracted data can be used for a variety of applications, including decision-making and forecasting, research and development, and marketing. In addition, data miners are responsible for building predictive models from extracted data and analyzing them to make strategic decisions. They can also help identify trends in the data, which can be very useful for a company. In addition, data miners help to create commentaries applicable to the data, enabling the company to better understand the data it collects and derive valuable insights from it. Finally, data miners can also help identify and prevent fraud, and protect sensitive information and data. They can also help automate certain tasks and improve the efficiency of information systems. In conclusion, data miners play a very important role in the corporate decision-making process, and their roles and missions are highly varied and essential.

Salary and career development :

A data miner's salary is very attractive, especially if he or she has acquired a certain expertise and experience. Here's a list of average gross annual salary progression in France by years of experience for a Data Miner:

  • 0 to 2 years: between €30k and €40k/year ;
  • 2 to 5 years: between 40k and 50k €/year ;
  • 5 to 10 years: between 50k and 60k €/year ;
  • 10 to 15 years: between 70k and 90k €/year ;
  • Over 15 years: between 100k and 110k €/year.

The career prospects for a Data Miner are very varied. Here are five possible professions:

  • Project Director ;
  • Data analyst ;
  • Machine learning engineer;
  • Software developer;
  • Big Data project manager.

Advantages and disadvantages of working as a data miner

Advantages
  • Ability to work remotely and benefit from a flexible work environment: Data mining work can be carried out remotely, without having to visit an office. Data professionals can work from anywhere, enabling them to enjoy a better work-life balance.
  • Good job prospects: Demand for data professionals is growing, and job opportunities are plentiful. Companies embracing analytics and big data have a growing need for qualified data professionals.
  • High salaries: Salaries for data professionals are among the highest on the job market. The main employers of data miners are high-tech and financial services companies.
  • Use of modern tools and technologies: Data professionals use modern tools and technologies to analyze and extract information. The tools and technologies used are industry-leading and can be very rewarding to master.
  • Positive business impact: The data that is collected, analyzed and extracted by data professionals enables companies to make more informed decisions and develop better strategies.
Disadvantages
  • High workload: Data mining work requires a great deal of time and effort to analyze and extract the right data. The time spent on the job can be very considerable, and data professionals can spend hours working on projects.
  • Need for specific technical skills: Data professionals need to be qualified and have specific technical skills to carry out their work. They need to master various software packages

Latest job offers for Data miner recruiter