10 Reasons You Should Avoid Becoming a Data Analyst in 2022


by Sayantani Sanyal


March 17, 2022

Data analyst work can sometimes become tedious, look before you start!

Currently, entering a career in data science and analytics is one of the top choices for tech aspirants. Data analysis has become one of the most important elements of modern business enterprises to understand market trends and deliver the best results to its customers. Data professionals have to analyze tons of data collected from Data analysis software and tools. This explosion of data is pushing the industry to seek out more qualified and talented people data analyst professionals, because as data collection grows in sophistication and scope, it is inevitable that companies will want to make full use of this data. But even after the industry’s growth and demand, many tech professionals wish they hadn’t chosen this career path. Several data professionals have defined Data analysis like a stressful career. So, if you are considering a career in data analysis and science, it is high time you rethink and make an informed decision. In this article, we have listed the main reasons why you should avoid choosing a data analyst career so that you can effectively make strategic career choices.

The concept of learning throughout your career

Data analysis can be an extremely broad term. Data means different to different companies, therefore professionals will need to learn specific skills each time they join a new company. Some companies want knowledge of machine learning, while others may focus more on programming languages. And since data analysis is a multidisciplinary job, you’ll need to have a wide variety of skills, including business understanding and technical skills, which isn’t always possible.

Your diploma is not enough

Acquiring a bachelor’s and master’s degree in the required field might not be enough to give you a head start in your career. You need to understand the intimidation that comes from command-line interfaces, working with large databases, and such other tasks. Only then can you effectively counter the kind of problems that data professionals face every day, in real time.

The task of constantly negotiating, communicating and educating the company’s stakeholders

Not only do you need to have the knowledge to manage data in such a way that the business benefits, but you also need to be able to negotiate effectively. You need to sell your ideas for new data analyst initiatives to business stakeholders, and also inspire them to get additional resources, such as new technologies, more manpower, more storage, etc

You always have to be resourceful

When it comes to the data science and analytics industry, it’s not very popular for handing out favors. Ultimately, it’s the job of data professionals to do the work, be resourceful, and figure out the answers to their problems themselves. Data professionals are responsible for scheduling meetings with relevant stakeholders and learning about business issues, desired outcomes and strategizing accordingly.

Perform the most difficult tasks alone

Working on things like creating machine learning models might sound like fun, but data analysis isn’t all that! Much of your time will be spent understanding the idea, understanding where the data is coming from, and making sure it’s genuine. And if the data is not satisfactory, you will have to build a data pipeline to extract the data you want.

The requirement to have meaningful industry relationships

Data analytics is not an area where advanced skills can propel your career to new heights. If you are someone who is looking for ways to make a career in this industry, you need to constantly keep in touch with industry professionals. Attend hackathons and meetings, build your LinkedIn and Twitter connections, and don’t limit yourself to your current business. The more valuable connections you have, the more your profile will be established in front of your employers.

You have to be crazy enough to get unexpected results all the time

Crazy ideas are the only best ideas. And as a data analyst or scientist, you must have a lot. You’ll be tasked with coming up with unexpected and crazy solutions, and that requires always being at an extraordinary level. You have to keep the spark of awesomeness, always lit.

Your employer will be business-centric

Your employers may not always be tech-savvy professionals and may not have much knowledge of data analytics and big data science. And that could become a problem because your team could be given a task that requires months of work, but from a business point of view, it might not be a favorable choice. But this is where you can show off your people skills and explain why it would be ideal to take up space while working on that particular problem.

Knowledge of textbooks will not work

As mentioned above, data analytics might not be the career you can achieve successfully with the help of degrees and textbook knowledge. You need to get your hands dirty and learn the practical skills that can actually land you the job or position of your dreams. Even for beginners, it would be great if they could work on volunteer projects or multiple internships and improve their knowledge of industry knowledge.

Are you really interested in business?

Before entering your career as a data analyst, you must repeatedly ask yourself if you are really interested in understanding propaganda and business strategies, because as a data analyst or scientist, it would be your duty to understand the business and deliver results accordingly. And if you can’t do that, data might not be the right choice for you.

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Sean N. Ayres