Indonesian nolimite – The profession in data analysis is increasingly in demand along with the rapid development of big data technology. Two of them are the most sought after companies are data analyst and data scientist. Both of these jobs not only offer bright career prospects, but also competitive salaries.

However, to be able to have a career in this field, it is not enough to only have capital. A prospective data practitioner is required to have solid data analysis skills. Because the ability to choose the right analysis method can produce valid data, so as to be able to support more accurate business decision making.

As the famous quote from the fictional character Sherlock Holmes in the novel A Scandal in Bohemia by Sir Arthur Conan Doyle: “is a big mistake to theorize before having data. Unconsciously, someone began to twist the facts to be in accordance with the theory, not theory in accordance with the facts.” This quote is a reminder that data is the main foundation before compiling hypotheses and strategies.

So, what is data analysis and why is it important to master? The following explanation.

What is data analysis?

Data analysis is the process of processing raw data into useful information. This information is then used to develop strategies, make predictions, to make the right decisions.

The analysis process includes the collection, cleaning, transformation, to data modeling. The end result can be presented in the form of graphics, tables, charts, and interactive visualization, so that it is easier to understand by decision makers.

If you just start learning, there are many free to paid tools that can help you understand the profession more practically.

Types of data analysis

In general, there are two main techniques in data analysis, namely qualitative analysis and quantitative analysis.

Qualitative data analysis

Relying on non-numeric data such as interviews, recordings, field notes, or literature reviews. The focus lies in the background understanding, reasons, and causes of a phenomenon.

Some methods used include:

  • Content analysis
  • Narrative analysis
  • Discourse Analysis
  • Grounded theory

Quantitative data analysis

Based on number and statistical measurement. Processed data are objective, measurable, and minimal bias.

The techniques that are often used:

Descriptive analysis: Describe the data as it is without further generalization.

Inferential Analysis: Draw conclusions to the population through hypothesis tests, regression, to comparative analysis.

Many analytic platforms such as Dashboard nolimite which has combined quantitative and qualitative methods in one dashboard, so that practitioners can find insight faster.

Trend Update and Industrial Needs 2025

Entering 2025, the need for data talents is increasing. According to a recent report from the World Economic Forum (Future of Jobs Report 2025), data analyst and data scientists are included in the top 5 most sought -after professions in the world. In Indonesia itself, the demand for data experts has increased rapidly along with digitalization in the banking sector, e-commerce, health, to the government.

Some of the latest developments that strengthen the position of this profession include:

Integration of Generative & Big Data

Data practitioners are now required not only to analyze data, but also able to combine it with artificial intelligence (AI) to produce faster and predictive insight.

Average wages up

Based on the 2025 technology industry survey, the salary of scientist data in Indonesia is in the range of Rp15-35 million per month, while the data analyst averages Rp10-20 million per month, depending on experience and industry.

Multidisciplinary needs

The company is now looking for talents that not only master statistics, but also machine learning, cloud computing, to interactive data visualization.

Social Media & IoT data

With the increasing number of data from the Social Platform and Internet of Things (IoT), real-time analysis skills become a must-have competence.

Companies that want to remain competitive are now increasingly relying on media solutions to monitoring and social media listening tools as owned by Nolimit Indonesia who are able to capture trends in real-time.

Data analysis is an important foundation for every data -based decision. Mastering the techniques, methods, and understanding the function of the analysis will open up great opportunities for anyone who wants a career as an analyst data or data scientist.

And in 2025, with the integration of big data, AI, and increasing industrial demand, career opportunities in this field are increasingly promising.

If you want to enter the world of data, start by learning basic tools and make it a habit to read industrial trends. From this small step, the path to the career of data analyst or data scientist will be more wide open.

In the Big Data era, relying on intuition alone is not enough. It’s time to use Nolimite Dashboard and Ansight, Social Media Monitoring and Social Media-Based AI & Big Data platforms that help businesses understand digital conversations, find trends, to read public sentiments in real-time.

Try the free NoMimit Dashboard demo now and prove how data can be the key to your business’s competitive advantage.

Indonesian nolimite


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