Data analysts collect certain information from the environment that is being studied with the aim of analyzing and synthesizing it.
We are not dealing with mere compilers, but with true analysis professionals who must know the subject they are investigating. For example, the financial analyst must know the financial markets and their main analysis techniques.
In this way, although their work is common in terms of the process to be followed, the data is different depending on the professional’s area of knowledge. Thus, data analysts can be of various types depending on the information in which they are interested.
Duties of a data analyst
Before talking about the types of data analysts, it is worth knowing what the three functions are that are common to all of them.
- First, the data collection. To do this, they must be familiar with the technology that allows it to be managed and automated.
- As a second step, we have the analysis of that data, usually using mathematics, computer science or statistics. Training here is key.
- Finally, they must issue adequate reports for decision-making. Here the ability to synthesize and good writing are essential, as well as the use of applications such as Power Point to be able to present this information.
Types of data analyst
Let’s take a closer look at the most relevant types of data analysts and their recommended training, depending on their area of study, that is, the type of data they collect, analyze and organize.
Statistics or mathematics
In this case, the most appropriate training would be in statistics, mathematics or similar. Its main task is to provide new theories, new models and technical innovations that allow the best use of this science in analysis.
We would be dealing with engineers in different areas of knowledge. From computer engineers who propose new algorithms or programming systems, to industrial, forestry or other engineers who contribute knowledge in their field.
In this case the training would be in economics and the like. We have those who analyze economic information, for example macroeconomic data. On the other, those that specialize in financial data, such as stock markets. We can also include marketing.
Finally, we can mention those data analysts who are interested in certain subjects such as sociology, psychology and even legal aspects. These will focus on information of this nature and will provide relevant information on these matters.