Reasons For Embracing Data Analytics Career Opportunities

Data analyst career growth

Why Data Analytics Is The Right Career Move?

Big data is driving performance & effectiveness across industries. Companies today rely on data to understand user interests and improve business productivity. Therefore, organizations recognize the need to bring data analysts at the forefront to gain actionable insights and make informed decisions.

Do you also want to excel with a career in the data analytics domain? But can’t decide whether it would be a promising move or not? If yes, check the top seven reasons below that help you to see the big picture.

1. Increased Demand

Data analysts’ demand is skyrocketing with for data professionals. In the upcoming years, the analytics market is about to grow by at least one-third of the global IT market’s size. It is currently one-tenths as per market research firms. Therefore, we can say that there will be a surge in the data analyst job opportunities in this domain.

2. Meeting the Skill Gap

There is a rising demand for data analysts worldwide. Still, a significant amount of unfilled jobs is there due to the shortage of vital skill sets. The gap between the needed and existing number of professionals is also high.

Therefore, you can pull the best opportunity in this field by gaining the right skills and knowledge to understand & use big data.

3. Multiple Specializations

In the data analyst career path, you can choose specialization depending on your interest and ability. Below are a few popular field types in which you can make your career.

  • Sales analyst – Evaluates the sales strategy for a business and defines the right course of action to boost sales
  • Financial analyst – Gathers data of the company’s investments & other costs, builds economic models, analyzes results, makes forecasts & recommendations and generates reports
  • Operations analyst – Uses advanced mathematical & analytical methods. It helps identify business performance issues and recommend best practices & workflow processes for improving operational efficiency

4. High Adoption Rate across Industries

Data analytics professionals help companies improve business performance. They provide precise, useful insights that help attract & retain more customers. Data analysts’ contribution spans across various industry verticals. It includes Informational Technology, Manufacturing, Retail, Healthcare and more. It gives you the freedom to work in the domain you like and grow your career.

5. Big Salaries on Offer

Companies hire data analysts at higher pay. One of the key reasons behind it is the shortage of skilled professionals. According to PayScale, an average salary for a data analyst in India is ₹4.20 Lakh per annum. You can get even more pay scales based on your experience and expertise.

6. Data Analytics Future Scope

Did you know that 90% of data on the internet today is generated only in the past few years? It is estimated that by 2025, 463-Exabyte of data will get created globally. That would mostly cover unstructured data sources. It covers videos, social media, e-mail and more. By putting this data into motion, you can make a significant difference in the business outcomes. The deeper you dig into the data, the better and conclusive information you can pull from it.

7. Numerous Choices for Job Roles Based on Analytics Type

There are many data analyst job opportunities out there. It allows you to choose a role according to your skills, knowledge and experience.

Some of the popular data analytics jobs are predictive analytics, prescriptive analytics and descriptive analytics. Focus on either these or any other specific niche. It will help you get an edge over the competition.


As a data analytics professional, you can enjoy the benefits of potential growth opportunities, high salaries and more. Whether your goal is to advance your career or nurture your analytics skills, LearnAtRise’s Data analyst training program can assist. We provide hands-on experience to clear the concepts of BI & data analytics. It will help you become a master at analyzing large datasets efficiently.

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