In the digital world, data is pouring in from everywhere. Collected and analyzed, it represents great opportunities for companies to improve their operations and make decisions. This is why jobs related to this sector are increasingly sought after by companies today. To access it, it is possible to follow a Data Analyst training course. It is an excellent gateway to these jobs of the future. But then, what are the concrete professional opportunities of such training?
Become a Data Scientist after Data Analyst training
The job of a Data Scientist is to extract knowledge from complex data sets. To do this, it relies on statistical models and artificial intelligence algorithms. The Data Scientist must therefore have solid programming skills to collect, clean, and analyze data from different sources.
Its objective is then to identify trends and correlations to help with decision-making in areas such as marketing strategy, fraud detection, or sales predictions. Thanks to the exponential growth of data, this profile is highly sought after. To acquire all these technical skills, Data Analyst training from a school such as Wild Code School is necessary.
Data Engineer, the data architect
After training as a Data Analyst, it is possible to access the profession of Data Engineer. This person builds and maintains the technical infrastructure necessary for collecting, storing, and exploiting data. The Data Engineer is an expert in database management systems such as SQL and NoSQL. This allows him to set up a system to automate and make the flows between the different data sources and the analysis tools.
His skills in IT development allow him to deploy robust and scalable technological solutions to meet the growing needs of data processing and storage by companies. This technical profile is therefore essential for companies wishing to develop their data exploitation capabilities. The Data engineering profession is particularly sought after in sectors such as banking, insurance, and telecommunications.
Data Analyst training to become a Business Intelligence engineer
The Business Intelligence engineer designs and implements decision-making solutions to provide indicators and dashboards to the company’s decision-makers. Data Analyst training will have given him all the keys to model and feed databases, using ETL (Extract, Transform, Load) tools. In addition, with mastery of SQL and MDX languages, the Business Intelligence engineer can meet complex analysis needs.
Their role is then to guarantee the reliability and quality of the data that will feed into the company’s decision-making processes. To do this, they work closely with the various business lines to translate their needs into effective decision-making solutions, based on certified data. Management control and marketing departments are looking for this type of profile, for their skills at the crossroads of technology and business.
