How to Become a Data Analyst in 2024


How to Become a Data Analyst in 2024

How to become a Data Analyst in 2024 Did you know that 97% of businesses invest in big data and AI while just 37% of data is being used for Data? These statistics show that a Data Analyst is needed in the growing world of business.

In this article, we will show you the step by step process of how to become a Data Analyst in 2024. 

Grab a pen to note as you find out how to pursue a career in Data Analytics.

7  Steps to Becoming a Data Analyst in 2024

1. Learn Data Analytics 

Having a degree in a quantitative field can help understand and become a Data analyst. For example, field such as  statistics, mathematics, computer science, information technology, or a related discipline.

However, if you don’t have a degree in such fields you can just go ahead and take courses to learn specific tools and technologies commonly used in data analysis, such as SQL, Excel, Python, R, and data visualization tools like Tableau or Power BI

At Scenario Academy, we help you learn Data Analytics seamlessly even without a prior knowledge in science or IT. Our curriculum is specifically designed to take anyone from being a novice to an expert. We specialize in teaching tools such as Excel, SQL, power BI and python 

2. Learn Technical skills

It’s essential to learn the programming language commonly used in data analysis. Such as Python or R. These languages are versatile and widely used in various industries. 

Also, you need to learn to work with databases and querying data using SQL. It is crucial in data Analysis to understand relational databases. This is to enable you to clean and query data for data driven decision making especially in businesses and industries you may be working with.

Another technical skill to master is Data visualization. This is being able to communicate data findings effectively. This is a key aspect of the role of a Data Analyst. There are tools like Tableau, Power BI, or Matplotlib in Python. 

3. Get practical experience 

We believe it is important you gain practical experience working on real-world projects to apply your skill and build your portfolio. This could mean analyzing publicly available datasets or collaborating on open source projects to try out your new found skills. This will help sharpen the solution based aspects of the skills learnt.

You can also get practical experience by seeking for internships or entry level positions to get hands-on experience to understand how data analysis is applied in a professional setting.

4. Aggressively Network with fellow Data Analyst

People are important to make a headway in any career path and networking aggressively will quickly help you climb up the ladder too. Look for communities for data analysts to join and participate intentionally to get seen, known and referred. 

Data analysts are usually introverted and not willing to mingle however attending conferences, meetups, webinars can drastically help in career growth.

You can also use these forums, communities, groups to stay updated on industry trends and connect with professionals.

5. Get Professional certification Professional Certifications

Consider obtaining certifications that are locally and globally recognised in the industry to get ahead. At Scenario Academy, we offer certificates that are globally recognised.

6. Stay Updated with Trends

We live in an ever changing world so it’s important to stay  updated on industry blogs, courses, books to gain knowledge on new tools, techniques and best practices.


7. Apply for jobs

Before applying for jobs, it’s pertinent to prepare for interviews. Be ready to solve analytical problems and case studies during interviews. Also be ready to discuss your experiences and projects. Also, intend to highlight your ability to extract insights from data and communicate findings.

Again, ensure the resume is well structured to highlight education, skills and experience. You should also have a portfolio to showcase your project detailing problems solved, methods used and results achieved.

As you search for jobs, use job sites like Indeed, Jobberman , etc. Check out company websites of companies you have interests in working for and browse through professional networking platforms like linkedin to search for entry – level data analyst positions.

In conclusion, by following these steps, you are on track in building a strong foundation and increasing your chances of landing a data analyst position in 2024.

At Scenario Academy, we are ready to hold you by the hand as you journey to become a Data Analyst in 2024. Reach out to us today at


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