Nowadays, all industrial fields are very dependent on data in making business decisions. With the development of digital technology being one of the causes of the increase in the amount of data received, the existing data if it can be utilized properly can be used to answer problems found in the company.
The data received must be analyzed to gather information to help make business decisions. In this case, the profession that performs data analysis is called a Data Analyst. If you are interested in becoming a data analyst, the following will explain in full information starting from the definition to recommendations for data analyst bootcamps.
Understanding Data Analyst
Before going into the data analyst bootcamp recommendations, it would be better to understand what a data analyst is first. A Data Analyst is someone who analyzes data to find ways to solve problems in business. With the abundance of data available, a Data Analyst is able to translate data in the form of numbers into reports that can be understood by managers and stakeholders .
By becoming a Data Analyst, you can work in many industries including business, finance, science, medicine, and even government.
The Benefits of a Data Analyst for a Company’s Business
A valuable data is very important for a company, if the data cannot be processed in the right way, then the data that has been collected will only become garbage database shop that fills the storage space, aka has no value whatsoever. Many companies are starting to realize the importance of the role of Data Analyst in helping them make decisions with the data they have.
With Data Analyst, a company can find a way out of the problems faced and can also make decisions for the development of its business. Various decisions such as new product development, new markets to be targeted, new investments to be made, to targeting new customers.
Besides that, a Data Analyst will solve data problems such as what customers will be targeted for advertising? What age group? How is their behavior?
Example of Data Analyst application
1. Application in the Retail Sector
The application of Data Analyst in the how to choose the right targets for your facebook retail sector is to find the relationship between products from a sales transaction. Retail companies will analyze consumer behavior patterns in viewing transaction history, shopping carts, and so on. This aims to position products that tend to be purchased together by providing product recommendations to consumers. That way, sales will increase, and unsold goods will have the opportunity to be purchased and more attractive if placed properly or often referred to as “MBA (Market Base Analysis)”.
By knowing the consumption patterns of consumers, the retail industry can gain a lot of insights that will optimize profits, because companies can determine the right marketing targets from the analysis results.
2. Application in the Marketing Field
The application of Data Analyst in the marketing field is also no less important. In the marketing field, recognizing the different needs of each customer is very important for a productive marketing plan. Because, each consumer has different desires. From here a Data Analyst is needed to conduct customer segmentation based on consumer characteristics based on age, profession, place of residence and others. This aims to make sales more focused and know the opportunities that exist.
Salary of a Data Analyst
As a profession that is currently being touted and most in demand in the last 5 years and also the number of job seekers and offers available in various companies, becoming a Data Analyst does not necessarily mean getting a high salary, a Data cz leads Analyst has a career level that must be passed.
1. Entry Level Data Analyst Salary
A Data Analyst is categorized as a beginner if they do not have any work experience but are already capable in hard skills and soft skills. The salary of a beginner Data Analyst ranges from 4-7 million in large companies in Indonesia.
2. Junior Data Analyst Salary
Unlike beginners, Junior Data Analysts are given the opportunity to make decisions when facing a problem. Their achievements include a salary of 9-15 million rupiah with a career spanning between 5-8 years of work experience.
3. Senior Data Analyst Salary
To become a Senior Data Analyst certainly cannot be achieved in a short time, this profession requires experience, expertise and also work skills.
Not only have the task and responsibility in implementing the report, but also have the responsibility to participate in determining the direction of the company. With the many responsibilities given, this makes the value of a Senior Data Analyst so great. Even a leading company dares to pay more than 30 Million Rupiah.
How to Become a Data Analyst
So, for those of you who really want to know how to become a reliable data analyst, here are some steps you can follow:
- Learn the basic insights about data analysis. Understand the basic theory first. Learn the role of data in business and the various responsibilities that a data analyst must carry out.
- Build technical skills. Master the essential skills of a data analyst, such as programming languages, data cleaning, data warehousing, and data visualization.
- Start working on projects. To hone your skills perfectly, you need to apply your abilities to data analysis projects. You can get these projects through online courses or internships.
- Create an attractive portfolio. Make sure you look attractive to recruiters! To do this, you need to build an attractive portfolio that contains a list of skills and projects you have worked on.
- Increase credibility through certification. To make your portfolio more impressive, you can add a data analysis certificate to it. So, recruiters can be more confident in your competence.
- Look for entry-level data analyst jobs. Once you have the skills, experience, and an interesting portfolio, you can start looking for entry-level data analyst jobs.
Data Analyst Bootcamp Recommendations
Learning Data Analyst can be done in 2 ways, namely self-taught where you learn by yourself randomly and secondly is by attending a bootcamp. Well, if you are interested in attending a course class, here are the recommended Data Analyst bootcamps that you can choose from:
1. RevoU
The first data analyst bootcamp recommendation is RevoU. RevoU is an online school (educational tech), which aims to provide and train digital skills that are in demand. At RevoU you will study intensively for 14 weeks with various materials and activities that will increase your skills and abilities in the field of digital technology, one of which is Data Analyst.
When you join RevoU data analytics bootcamp , you will learn a lot about the process of analyzing data, data visualization , how to process data using programming languages and so on. The complete explanation is as follows:
- Fundamentals of Data Analytics
- SQL and Python
- Data Visualization and Communication
- Career Prep and Real Project
2. Pacman
Next, Pacmann is a recommended data analyst bootcamp that can be targeted. Pacmann is a data modeling science training institution and consulting services for companies that need Machine Learning guidance in Indonesia. The first Pacmann class, Machine Learning and Statistics were first opened in 2017. As one of Danacita’s Data Analytics bootcamp recommendations , Pacmann is a pioneer in a continuous program without a diploma dedicated to business development through data science. The program has also been integrated with project labs and career coaching to ensure Pacmann graduates get their dream careers.
Difference between Data Analyst and Data Science
If you pay attention to job search platforms for data professions, you may have seen a list of data analyst and data science vacancies that have very similar job descriptions, right? Don’t be mistaken, it turns out that Data Analyst and Data Science are different professions.
Although these two fields of work are related, Data Analyst and Data Science have different scopes, responsibilities, results and objectives.
Data Analyst is responsible for managing data, drawing conclusions, and visualizing it. A Data Analyst must deal directly with a lot of data and is responsible for finding Insights that advance the business from various aspects. Data Analysts focus more on analyzing specific data on certain sources, do not have access to all data and this limits their work functions.
If data analysts are tasked with analyzing data specifically on certain sources, data scientists are tasked with collecting data from various existing sources. Therefore, Data Scientists need to change the form of data into the appropriate format and ensure that the data is uniform when entering the next stage.
Becoming a Data Analyst Using Danacita
That’s complete information about data analysts, from the definition to recommendations for data analyst bootcamps. If you are interested in pursuing a career as a data analyst but are hindered by financial issues, you don’t need to worry because Danacita is ready to help. Of the three data analyst bootcamp recommendations above, all three places have collaborated directly with Danacita.
Danacita is an affordable education financing platform that has a mission to open access to education for all students in Indonesia that have been officially licensed and supervised by OJK. By applying for education financing to Danacita, you can pay for college more affordably because it can be paid in installments starting from 6 to 24 months.
The application process at Danacita is also fast and easy online with a maximum of 2 working days and you do not need to pay a DP, security deposit or other fees. In addition to the 3 places mentioned above, Danacita has also collaborated with more than 130 educational institutions throughout Indonesia, both formal and non-formal, so it is definitely safe and secure.
If you are interested in becoming a data analyst using Danacita, you can directly visit the website by clicking
