Master
Data Science Courses
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
How to Become a Data Analytics in 2024
How can you become a data analyst in 2024, where there is no need for coding, programming, and experience, and can expect a minimum salary of 6 lakh annually? If you belong to a non-IT field, then you can come to IT and get a job as a Data Analyst. But what is a roadmap for that? What is the procedure? All these things are going to be understood in detail in this Article. So let’s start.
Who is a Data Analyst and What does a Data Analyst do?
Data Analyst, as the name suggests, analyzes data. But what kind of data? Generally, it is business-level data. When a Data Analyst is given business-level data, he takes out some information from it, which is very useful for the company. Otherwise, it is very difficult to get that information. He presents that information in this way to the top management, owners, or decision makers of that company so that they understand what is going on in that company’s department or the overall company. And they can make some decisions that can improve the performance of the company and some activities which are hampering the performance of the company, they can stop those activities.
That’s why for the exponential growth of a company, whatever things are there in the company whether it is sales, purchases or internal things of the government is important. It is important to capture the data and not only capture but also analyze it. This is more important than that. So this is the role of a Data Analyst. Now you must be getting the importance of it.
Exp: Suppose we talk about one grocery store and the other one is Walmart. Both of them sell groceries. You have seen that the grocery store in our streets run by a small-time farmer is never able to become a franchise model, a big grocery store. It has been in the same store for 20-30 years. He is running his household income from it. But why can’t he make it big? The biggest reason for that is that they never capture the data.
The people who come to their shop to buy goods, what is the price of the goods, what kind of customer is coming, what kind of stubbornness do the children have when they come to their shop, what kind of things do they buy, what are the things that they look at first, there are many such things. Based on such things, when this data is collected, which is done by Walmart, Big Bazaar, and Reliance, when these people collect this data, they can keep the right product there, which increases their sales by 4-5 times.
So, this is the difference where data is not analyzed and captured, and on the other hand, where data is captured and analyzed. Here, growth is very important. So, you have understood what a data analyst is and what he does.
What skills are required for a Data Analyst?
Now the question is, how much data is there in general? Now this is not the data of a small shop, which will have 500,000 transactions in a month. It’s about companies and companies have data of lakhs and crores. And it’s very difficult to analyze small things. Generally, Lala Ji sits with a pen and paper to collect data. But you can’t do this on data of lakhs and crores.
That’s why you need a specialized tool. And in today’s market, the most in-demand tool is Microsoft Power BI. Now, why is it in demand? we’ll tell you the reason. Because it doesn’t require any coding programming. Only then, a person from any company or department can learn and use this tool in a month or two. All the things are available in its interface. You just have to drag and drop. Yes, the formula is also used in it. But over time you learn all those things. And based on this, you make such amazing reports from such raw data. The reports that the top management or client sees, or the decision maker, then it is clear that in this particular region where we are selling, there is a mistake. Or why is the return coming so much here? What is the reason? They know all these things. These are my 5000 employees, why are these 100 employees underperforming? Or why are those 50 employees overperforming?
So all these things, based on data, based on that dashboard, things are clear. The best part is as we have told you, there is no need for programming or coding. Within 1 to 2 months, you can easily learn this tool(For this you can join Digiperform’s Data Analytics Online Course). If you are working somewhere, you can learn this tool. So that is the best part about the Microsoft Power BI tool
How to Become a Data Analyst Super Fast?
Now we believe you have learned this tool. you know data analysis. The point is that you have to adopt two ways so that you get opportunities quickly. In the field of data analysis, there are thousands of jobs available at this time. It is a very in-demand field. The first way is to simply apply for jobs. Apply for those jobs where you are also asking for 1-2 years of experience.
What you have to do is, first of all, when you learn Power BI, you will create a dashboard or report from sample data and show it to the recruiter. The recruiter is mainly concerned with the knowledge of the tool which is Power BI, based on which you will analyze the data in their company. So, when you show your reports, and dashboards to them, and they will ask you questions like how did you make it, what analysis did you do, you will be able to answer that because you have created it. This way you get an advantage. And you will break the 1-2 year requirement of experience and you will get a job.
The second way is when you go to LinkedIn and whatever reports and dashboards you are creating based on your learning, keep posting them there and tag especially those people of those companies in which companies you want to go, in which company you want to take a job. So that those people know that you are a skilled person, you are a knowledgeable person in Power BI, you are a valid candidate for a data analyst job, and they can approach you. So, you can apply these two methods.
Salaries and career scope of a Data Analyst?
If you become a data analyst, the first step you take is Data Analyst, which is the first level, in which you can take a package of 6-8 lakhs per annum.
Then we talk about the next level, after taking 2-3 years of experience, you can apply for Senior Data Analyst, in which your income or salary package is between 9-14 lakh per annum.
You can learn some other tools on the job, like SQL, which is important if you want to grow into a career in Data Analysis. Then, after 2-3 years, you reach the data analyst level 3 where you expect a salary of 14-22 lakh per annum.
Then, after gaining some more experience, you can take the role of principal Data Analyst whose salary is 22-37 lakh per annum and the last one is director of Data which you expect a salary of up to 50 lakh per annum. Beyond this, there are fields where you gain knowledge and handle the team. 1CR plus packages are also available in the job role of data analyst.
Conclusion:
In data analysis, field growth is very exponential. It’s all about hard work and learning which you do on the job. We hope you have got the knowledge up to this point. But if you still have any questions related to the roadmap to becoming a data analyst, how to get into non-IT or MIT, how to become a data analyst, if you want to know more in detail and if you have any questions, then you can call to Digiperform Academy our representative will provide you detailed information about this.
DIGIPERFORM will help you make a career in the Data Analytics field, with an online Data science course (Master Certification Program in Analytics, Machine Learning, and AI). India’s Only Online Data Science and Analytics Training Program.
After doing the Digiperform online Data Science & Analytics course, you can apply for the Data Scientist & Data Analysts post. And to get your dream job Digiperform’s dedicated placement cell will help you with 100% placement assistance.
Here we will give you a complete roadmap step by step on how you can become a data analyst.
FAQs:
What is a Data Analyst?
A data analyst is a professional who interprets and analyzes complex data sets to provide insights, support decision-making, and help organizations make informed choices. They use various statistical and computational techniques to extract meaningful patterns and trends from data.
What skills are essential for a Data Analyst?
Key skills for a data analyst include proficiency in programming languages (e.g., Python, R), statistical analysis, data visualization, database management, and a strong understanding of business concepts. Effective communication skills are also vital for conveying insights to non-technical stakeholders.
How does a Data Analyst differ from a Data Scientist?
While there is some overlap, data analysts primarily focus on interpreting and summarizing existing data to answer specific business questions. Data scientists, on the other hand, are more involved in developing complex algorithms and predictive models, often requiring a deeper understanding of machine learning and programming.
What role does Data Cleaning play in Data Analysis?
Data cleaning is a critical step in data analysis that involves identifying and correcting errors, inconsistencies, and inaccuracies in the dataset. Ensuring clean and accurate data is essential for producing reliable analysis and drawing meaningful conclusions.
How does a Data Analyst contribute to decision-making in an organization?
Data analysts play a crucial role in decision-making by providing insights and evidence-based recommendations. They transform raw data into understandable formats, identify trends, and communicate findings to stakeholders, empowering organizations to make strategic and informed choices.