Data analyst (Data-analist)
Information on this skill...
A data analyst is a researcher and specialist who analyzes data streams so that the data can be processed into useful information. Data refers to large amounts of data, which can only be used in the right way if a data analyst will analyze the data, ultimately providing usable information. Loose data can generally not be used as information, because individual data is not readable and/or understandable for people. A data analyst is therefore briefly responsible for processing data, so that organizations can use the data as information. Data is a broad concept, because organizations can deal with data in many different ways. Consider, for example, analyzing how many people join a certain newspaper and why they do this, or why people cancel their newspaper subscription. The profession of data analyst therefore has everything to do with numbers, mathematics and statistics. After analyzing certain data, a data analyst will also report the findings to the manager in a clear report with findings. The individual data is therefore processed at that moment by a data analyst into usable information. The collection of data and data is very important for companies, organizations and governments to gain insight into certain knowledge in a good way. After gaining insight into the right data, we can continue to work with the relevant data. A common term nowadays is Big data. Big data refers to one or more data systems, which are so large that they cannot be maintained with ordinary database management systems. The correct interpretation and processing of all this data is reserved for a data analyst. A data analyst ensures that mountains of unstructured data are collected and that it can be processed in the right way. A data analyst can therefore be regarded as a statistician and as a mathematician.
A data analyst must therefore be regarded as a researcher of Big data. The profession of data analyst is important, because it is very important for companies, institutions and governments to process data in the right way. A data analyst will generally only work with reliable historical data, so that the outcome of the information can be considered reliable. In short, we can also describe the work of a data analyst as creating clarity with regard to data. Loose data can be seen as unusable information, because loose data is not understood by people. The purpose of the data is to help the organization further. There are many companies that have a lot of data that is not otherwise usable. That is why it is so important to have a data analyst process the individual data into usable information. The big problem with data is that data generally comes in unstructured, so the data is not usable. In order to be able to use this data, a data analyst will use various computer programs to be able to interpret all individual data in the right way and to process it into usable information. Another name for data analyst is also called KPI specialist.
WHAT DOES A DATA ANALYST RESEARCH
What exactly a data analyst investigates can differ per assignment and employer, because data is important within many companies. Think, for example, of the processing of data with regard to being able to recognize patterns or the processing of data with regard to policy applications. Another example is the processing of data relating to crime rates. Analyzing data related to website visitors can also be the responsibility of a data analyst. There are no real examples of the substantive work of a data analyst, because data analysts can work in all sectors. The work of a data analyst does in many cases have to do with the economy and economic activities.
DIFFERENCE BETWEEN DATA ANALYST AND DATA SCIENTIST
The professions of data analyst and data scientist have many similarities with each other, but the professions differ from each other in terms of content. A data analyst is generally someone who works with fixed correct information that will be provided from the organization in question. A data scientist can also work with uncertain (unreliable) information. Consider, for example, the automated interpretation of e-mails on certain keywords in order to be able to process data. A data analyst works with real hard data and with a data scientist this does not have to be the case.
WHAT DOES A DATA ANALYST DO:
TRAINING TO BECOME A DATA ANALYST
There are no specific training opportunities for the data analyst profession through mainstream schools. In general, a data analyst will have at least an appropriate hbo education, such as the hbo-hbo-hbo-ict. Because the work of a data analyst also has to do with mathematics and statistics, a mathematical education at hbo level or at university level can be considered as suitable training. As a data analyst, it is important that you also have the necessary ICT knowledge. It is therefore conceivable that a data analyst can also be regarded as a programmer. This can differ per data analyst, because not all data analysts are also responsible for programming work. In addition, there are also plenty of external training institutes where you can follow a course. Accounting is also important as an independent entrepreneur.
COMPANIES WHERE A DATA ANALYST CAN WORK
A data analyst generally works for larger companies, institutions and governments, which have to deal with a lot of data. Think, for example, of banks, pension funds, insurers, retailers and IT companies. In some cases, a data analyst can also be regarded as a civil servant. In addition, a data analyst can work as an entrepreneur or as a consultant. In fact, a data analyst can work anywhere, within all conceivable industries, because many companies have to deal with data.
COMPETENCES DATA ANALYST
One of the most important competencies of a data analyst is that he or she has knowledge of statistics. Mathematical insight can also be regarded as an important competence. Because a data analyst in most cases has to deal with various other specialists, such as economists and managers, communication can be regarded as an important competence. A data analyst will also need to have the necessary knowledge of various computer programs, because a data analyst often uses computers and computer programs. Generally important words are analysis, perseverance, cooperation, open-mindedness, accuracy and conceptual thinking.
LABOUR MARKET PERSPECTIVE AND CAREER OPPORTUNITIES AS A DATA ANALYST
The job market perspective as a data analyst is generally good, if you have the right training. The profession of data analyst is becoming more and more common within different organizations, because more and more organizations recognize the importance of data. Because it concerns highly specialized work, a well-trained data analyst will generally have no difficulty finding work and / or assignments. The career opportunities of a data analyst can be seen in obtaining a managerial position, such as the position of team leader or department manager. The career opportunities are strongly dependent on the level of education, the competencies and the type of employer.
TERMS OF EMPLOYMENT AND SALARY DATA ANALYST
There are no specific employment conditions for the profession of data analyst because you can work for different types of companies in different industries. A data analyst in paid employment will usually earn a salary between 3500 and 4500 euros gross per month depending on age, education and specific responsibilities. Incidentally, a higher salary is certainly conceivable when the responsibilities are large.
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