Choosing a career path is often a big decision; choosing to switch career paths can be an even bigger one. Sometimes it means a leap of faith because after all, you want to make the right choice. Ideally, your career choice will be a rewarding one, and something that you’ll succeed at and genuinely enjoy. With all of the exciting roles and positions in the technology industry, it’s a vast field to work in with a lot of potentials. Specifically, working as a data analyst can be a fulfilling experience.

Looking forward to a career in Data Analytics? Check out the Data Analytics Bootcamp and get certified today.

Why Become a Data Analyst?

Job security is essential for most people, and a role in data is likely to be a secure one because these positions are in high demand. MorningFuture reports that the data analyst role will be the most in-demand position in the future. Knowing that your job is likely to be secure (or at the very least, it won’t be challenging to find a replacement), is a significant advantage.

Working as a data analyst can also be an exciting experience that gives you the chance to work on different projects in an array of industries. 

Salary is also another crucial deciding factor for many people when it comes to choosing a career path. And working as a data analyst is undoubtedly a lucrative option. Salaryexpert reports that in the United States, the average base pay for a data analyst is $92,038 annually.

The Role of a Data Analyst

Just about everything is data-driven these days, from market research and sales figures to expenses and logistics. To most people, this information can be overwhelming and daunting. It can be difficult and time-consuming to sort through it all and know what’s important, what isn’t, and what it all means.

This is where data analysts come into the picture: they take this data and turn it into useful information for businesses. This allows them to make more informed decisions in the future. 

Who Should Be a Data Analyst?

If you want to be challenged and avoid the mundane, a data analyst role may be ideally suited for you. Good data analysts are problem solvers, have an interest and curiosity when it comes to data, are good with numbers, and of course, are analytical. If you possess these qualities, a data analyst may be your perfect career match.

It also takes a willingness to learn as a data analyst. Technology is always evolving, and people in these positions must be willing to adapt to changes and learn about new processes, programs, and techniques. As a data analyst, it’s also crucial to have specific technical skills as well. It is preferable to know particular programming languages, such as Python and R. Therefore, enrolling in an accredited Data Analyst online course can teach you the skills needed to succeed. Remember, the willingness to learn is what’s most important. 

Note: As a data analyst, it would add an advantage to your skill if you know the types too!

Data Analytics Courses

Once you’ve decided to become a data analyst, the next step is earning your data analytics certification. Enrolling in the right Data Analytics program will not only help you master data analytics but also prepare you for your certification exam. Earning your Data Analytics certification is an essential part of pursuing a career as a data analyst, as this can be a highly competitive position. In a competitive job market, it’s crucial to stand out in the best way possible by having the right credentials to include on your resume. 

Simplilearn is excited to announce that we’ve recently unrolled a Data Analyst Certification Course, which was created for budding data analysts and co-developed with IBM. This thorough program is perfect for all levels, whether you have some data analytics knowledge or you’re starting from scratch. Learn the fundamentals, as well as advanced skills, in our latest data analytics program and move one step closer to landing on your dream job as a data analyst. 

About the Author


Simplilearn is one of the world’s leading providers of online training for Digital Marketing, Cloud Computing, Project Management, Data Science, IT, Software Development, and many other emerging technologies.

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