Why Data Analyst is the coolest job of the Century?

Pepcoding
5 min readFeb 2, 2022

--

A blog around the roles of a data analyst

Did we say coolest? We definitely did, because, why not? But you might be thinking how can something be cool when it sounds boring, right? Let me show you how!

Being a Data analyst comes with a lot of responsibilities, starting with “collection of data”, but not any random or unnecessary data. When a Data Analyst collects data, that data impacts the business to a great extent. How?

First off, what happens in Data Analysis?

The practice of extracting insights from data in order to make better business decisions is known as data analysis. The process of data analysis usually involves five iterative stages:

  • Choose the data you wish to examine.
  • Collect the data
  • Filter the data for analysis
  • Analyze the collected data
  • Interpret the results(analytics).

Role of a Data Analyst:

As the name suggests, a data analyst is the one who analyses data, but on what basis? And definitely their job is much more than that. Let’s find out:

  • Identify the data to be collected
  • Collection of Data: Data is frequently collected by analysts themselves. Conducting surveys, tracking visitor characteristics on a corporate website, or purchasing datasets from data gathering professionals are all examples of this.
  • Cleaning the data: The data collected is raw, and it requires to be filtered. Duplicates, mistakes, and outliers may exist in raw data. Cleaning data is keeping data in a spreadsheet or computer language in good shape so that your interpretations aren’t biased or incorrect.
  • Data Modelling: This requires constructing and designing database structures. You could decide what sorts of data to retain and gather, how data categories are connected to one another, and how the data looks in real life.
  • Interpretation of data: Finding patterns or trends in data to assist you to solve the subject at hand is what data interpretation entails.
  • Present: One of the most important aspects of your employment will be communicating the outcomes of your research. This is accomplished through creating visualisations such as charts and graphs, generating reports, and presenting data to interested parties.

Here are the factors that make a Data Analyst cool:

1. Improves Problem-solving skills

At its core, data analytics is about resolving issues and favouring solutions. The only catch is that the problems are far more serious than you are accustomed to. It protects companies, their employees, and their consumers. The capacity to solve difficulties efficiently is always a valuable talent.

It will help you in both your professional and personal life as a data analyst. It would also boost your capacity to handle diverse types of data and come to the most useful conclusion. It would also help you enhance your math abilities by allowing you to study and practise numerical analysis. You’ll also be familiar with graph theory, linear algebra, and applied statistics.

2. Get Freelancing Opportunities

Some people enjoy working a nine-to-five job in an office setting where they can meet and mix with new people every day. However, other people would like not be tied to a single company or commute to an office every day. If you fall into the second group, a job in data analytics might be precisely what you’re looking for.

Data analytics is one of the professional pathways that will allow you to work as a freelancer and from home. As a result, you may start a career in this sector no matter where you are in the globe as long as you have a solid internet connection.

3. Handsome Pay

Data analytics is an extremely profitable career path that will always have you smiling at the bank. The pay range differs from country to country, as well as your skills and experience in the field. Packages go more than Rs. 12+ LPA at times too, so you should know where to focus in order to grow.

4. Become good at making decisions

Data analysts are frequently placed in roles where they must make or influence choices for a corporation. This is because data is critical in today’s environment for all significant business choices. Data analysts’ findings have an impact on every new acquisition, sales presentation, give-back effort, and marketing campaign.

As a result, a data analyst isn’t just another name on the list. You’ll have the opportunity to contribute to the company’s success and have your voice heard. Both in-house analysts and independent analysts may be decision-makers. You’ll also improve your communication skills by explaining your results and forecasts.

5. High in demand

We began by stating that data analysts are in high demand, and this remains true. The majority of Americans are concerned about losing their employment. Nobody wants to go through the hassle of updating their CVs/resumes and attending interviews. It is for this reason why data analytics is so crucial.

Companies require data analysts now more than ever. Today’s world is a data-gathering system, and someone must analyse the vast amounts of data being collected. Furthermore, because businesses invest millions of dollars in data collection, they cannot afford to throw it away.

Only professionals who work in the field of data analytics will be able to successfully study and evaluate this data. So there’s no better time to start a career in data analytics than now.

Takeaway:

Keep in mind that analytics is used in a variety of industries, so you’re not limited to one. Whether it’s in banking, aviation, or government parastatals, there’s a job for you. The final truth is that a number of businesses are seeking for someone to examine their data and help them enhance their efficiency. As a result, there is no better time than now to pursue a career in data analytics.

To master yourself in Business Analytics and Data Science, you should check out the courses and training programs provided by Pepcoding. Learn from our Free Resources as well as Paid courses at affordable prices, don’t lose out on the perfect career opportunity awaiting you.

Thank you for reading this far, hopefully the blog was helpful

Author: Sejal Shaw

Also read:

--

--