What is a Data Analyst? Understanding, Tasks, Skills, and Salaries

As the digital era develops, the need for data is increasingly needed to determine policy directions. This is what drives the growth of the data analyst profession for almost everything type of business. Data analyst is a profession that processes various types of data to obtain certain information.

The World Economic Forum (WEF) has released that data analyst is one of the most sought-after jobs in 2025. Although currently not many people know this profession, starting to get to know the task and mastering data analyst skills will yield great opportunities in the future. front. So actually, what is a data analyst? Check out the explanation in this article, bro!

What is a data analyst?

Data analyst is a profession that is responsible for processing data using a number of tools and translating it into information that is easily understood by everyone. Many people think that data analysts are ‘data engineers’ which of course makes this job look like simple data processing.

In general, the position of a data analyst is someone who helps the management of a company or business in making a policy. The data analyst will manage the data that has been collected, in the form of diagrams, pictures, survey results, and others. They use a number of data analysis tools to translate the data.

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Reports from data analysts are the latest facts or market trends that a business is targeting. Through this information, management can determine new policy directions, such as marketing, production, and sales.

Data analyst job

In simple terms, the task of a data analyst is to process data into information that is easier to understand. The task can still be described in some detail. The following are the duties of a data analyst:

id="menganalisis-data">Analyze data

First, the task of a data analyst is to perform data analysis. This process is not only done in one process because a data analyst must go through a number of stages of analysis. Some of these are preliminary analysis to assess the quality of a data, analysis to translate the data, and final analysis to provide additional data filtering.

style="font-weight: 400;">In addition, analyzing the problems that are being faced by the business is also the task of the data analyst to identify the causes. If the analysis process has been completed, they will present the statistical data obtained.

Read the business direction from the information obtained

Analyzing is not only the data analyst’s only job but also provides views and suggests solutions based on the data he has obtained. Therefore, another task of a data analyst is to read the direction of the business to achieve the set targets.

This is certainly very crucial for a business because every decision will affect the movement and pace of the business. Thus, each policy will be based on the results presented by the data analyst.

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Translate data

The third task of a data analyst is to translate the data that has been processed. Not everyone can understand the data, especially if it is in the form of statistics. Therefore, a data analyst is tasked with translating a set of data, for example in the form of numbers and graphs, into an easy-to-understand explanation.

Prepare reports

Reports are the result of data analyst tasks where they record what has been obtained from a set of data. Not only that, data analysts also need to present the data to business management and then use it as a guide for policy making.

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Data analyst skills

Although a data analyst is someone who processes data into information, in fact there are special skills that must be possessed. This profession also uses a number of tools to assist the analysis process. The following are some of the data analyst skills:

id="memahami-machine-learning">Understanding machine learning

The first data analyst skill is the ability to understand machine learning as a reference in applying software development concepts. There are several types programming language that need to be understood, starting from JavaScript, Python, R, and other programming languages ‚Äč‚Äčthat implement OOP (Object Oriented Programming).

Understand mathematical and statistical concepts

Dealing with data processing, of course, requires an understanding of statistical and mathematical concepts. This is useful to help the data analysis process become more accurate.

Good communication

The ability to communicate well is of course also a mandatory skill for data analysts. This is useful when the process of presenting the information report obtained. They must be able to explain technical terms and relate them to company conditions to reach a solution.

Without good communication, the intended message may not be conveyed and this will affect the performance of a data analyst himself.

Able to perform data visualization

A data will be considered significant if someone can present it properly and well. Therefore, a data analyst skill that is also important is the ability to convert data into easy-to-understand visualizations, either in visual or graphic form. Thus, the information presented is also conveyed more communicatively.

Understand the SQL programming language

In data management and management, SQL language is a programming language that deals with this matter. Usually data analysts will use applications, such as SQL Server, PostGre, and MySQL to help with their work. Therefore, they must also understand how to use it.

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Types of analysis data analyst

In carrying out its work to analyze data, there are four most common types of analysis. These four types play an important role in providing information to a company in advancing its business. The following types of analysis are carried out by data analysts:

Diagnostic analytics

Used to identify the cause of a problem by comparing descriptive data sets. This analysis helps data analysts identify dependencies, poAs, and the causes of positive or negative results.

Descriptive analytics

Used to check activity that occurred in the past to recheck trends. For example, such as annual website traffic, monthly revenue, and sales in a certain period.

Prescriptive analytics

Used to identify solution steps for a business problem. This analysis is considered to have the most significant role in providing solutions, both for potential problems and predicting market trends. Prescriptive analytical processes require algorithms that tend to be complex and sophisticated technology.

Predictive analytics

Used to provide predictions based on the trend of results in descriptive and diagnostic analyses. This can help a business to take proactive steps.

Data analyst salary

According to the previous explanation, data analyst is a profession that is increasingly needed by businesses. No wonder the data analyst salary is one that is fairly high starting from the range of Rp. 18 million. However, this of course will also be adjusted to the experience you have. This salary can usually be obtained with 2 to 5 years of experience.

In addition, it should be noted that other factors, such as company scale, location, and competence will greatly affect the data analyst salary. The greater the salary received, the greater the responsibility borne.

Well, that’s the discussion about what a data analyst is, the duties, and salary opportunities of this profession. In essence, a data analyst is someone who analyzes data to get some information according to business needs. It should also be noted that professions related to data processing are not only the task of data analysts but also data scientists.

Both of them require critical thinking, thorough, and detail to meet the required data needs. So, are you interested in becoming a data analyst, friend?