10 Skills to Become a Data

Analyst to Make Your Job Easier!

Definition of Data Analyst

A Data Analyst is an expert who analyzes and investigates data using certain tools. Their job is to process data for marketing and product development purposes, monitor market trends via the internet and social media. In business, data analysis allows for a quick understanding of changes in consumer behavior. The data analysis process is faster and more accurate than manual research.

Data Analyst Duties

By utilizing Data Analyst skills, there are several tasks that are addressed, namely:

Extracting both primary and secondary data.

Developing and maintaining databases.

Analyzing data based on trends that may have a major impact on company or client projects.

Writing data analysis reports.

Collecting quality data in a team.

Skills That Data Analysts Must Have

Becoming a successful Data Analyst is not easy because you must have an educational background that is closely related to business and IT, such as informatics business, computer engineering, informatics engineering, economics, mathematics or statistics.

To make it clearer, here are the Data Analyst skills that someone must have to make their work easier and more effective.

1. Use of Microsoft Excel

Microsoft Excel is a very important software for Data Analysts because it can be used to process data in the form of numbers simply and conclusions can be generated using various formulas.

2. Mastery of Programming Languages

For those who want to become Data Analysts, this technical skill is very vital: programming language skills. Generally, Data Analysts use R or Python to analyze large data sets.

3. Use of SQL

SQL is a database system used to store large amounts of data that can then be processed into information. SQL is often used by Data Analysts because the analysis process is faster than using Microsoft Excel, which has limited data capacity.

4. Data Visualization

After collecting, organizing and analyzing data, Data Analysts will perform data visualization. This involves transforming data sets into information that can be understood by the company or client. To do this, Data Analysts usually use tools such as SAS, Tableau or Cognos.

5. Machine Learning

The data obtained by Data Analysts can be heavily influenced by algorithms, especially when it comes from internet searches. Therefore, a Data Analyst needs to understand how machine learning and artificial intelligence work to better understand and interpret the data.

6. Statistics

Since the data analyzed by Data Analysts is generally in the form of numbers, knowledge of statistics is essential so that the information produced can be understood and is relevant to the problems faced by the company or client.

7. Data Storage

One of the main responsibilities of a Data Analyst is to ensure the security of data storage. To do this, skills in data storage management are essential.

8. Sharp Research and Analysis Skills

Data analysis requires strong research skills to identify solutions to the problems faced. When the technology used in data analysis experiences obstacles, a Data Analyst must be able to conduct research to find alternative solutions and evaluate the problem based on the existing data.

9. Report Creation

Although Data Analysts deal with numerical data, statistical skills alone are not enough. Another responsibility is to present the data to the company or client in the form of a clear and neat report. Therefore, a Data Analyst must also have good report writing skills, both in document format using Microsoft Word and in presentation form using PowerPoint.

10. Soft Skills Data Analyst

In addition to hard skills as above, a Data Analyst must also have soft skills to balance it so that the work results can be more satisfying. So what are the soft skills that must be possessed?

Soft skills that must be possessed include: Good communication skills, critical thinking to find solutions and solve problems, project management, focus on details and be able to think logically by utilizing various methods.

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