10 Reasons Why Big Data Analytics is the Best Career Choice

Author: Harsh Gajjar

Undoubtedly, Big Data Analytics is going to be the next big deal. Being at the frontier of Information Technology, Big Data Analytics is playing a key role to create a great impact in developing the business, making & handling decisions, policies, plus providing companies with an edge over the competition.

Companies are increasingly emphasising the importance of Big Data as a source for gaining insights and making informed decisions. Data Analytic specialists who can describe Big Data, find hidden patterns, identify potential opportunities, and draw inferences for the benefit of a business are in high demand.

If you’re considering Big Data Analytics as a career option, read on to some good reasons why you should.

10 Reasons Why Big Data Analytics is Your Best Career Move:

Growing Demand for Analytics Professionals

The majority of job trend figures indicate a growing demand for Big Data Analytics, resulting in a slew of job opportunities in this discipline. So, with an ever-increasing number of job opportunities opening up for Big Data Analytics and management, IT professionals are making themselves ready to give some time, money and effort for their training.

Since companies are constantly finding ways to benefit from the prospect of Big Data Analytics, technology professionals with experience and expertise in the field are undoubtedly high in demand. The analytics market will grow to at most one-third of the international IT industry in the next few years, up from one-tenth presently.

Data Generation is Exploding across the Globe

Data is a gold mine that helps you gain valuable, hidden insights. And so, the most popular reason to consider a data analytics career is big chunks of data getting generated every passing minute. We all know that this data is significant for companies to identify new market opportunities and improve efficiency. Data creation is on a rising scale worldwide.

The internet of things (IoT) is one of the key contributors to data traffic, as the stats show. Global IoT connections generated zettabytes of data in the range of 15-20 in 2019, and that number is expected to rise to 200 + zettabytes by 2025.

Multiple Prospects

Big data analytics has applications in diverse industries. If you want to start your career as a data analyst, then better sooner than later. Big data analytics can be found all around, from customer service chatbots and Netflix movie recommendations to automated fashion tips on e-commerce apps.

Big Data Analytics seeks to achieve cost-effective ways to better decision-making power in a variety of development areas, including healthcare, manufacturing, education, media, retail, and even real estate. Many such industries consider hiring big data experts if you are extremely passionate about evolving your big data skills and advancing your data analyst career.

Easy to Begin

Data analytics does not only require you to have extensive knowledge of programming frameworks like Python, Scala, C or Java. Having good analytical and logical thinking ability that helps provide practical solutions is more important than ever. Maintaining a natural inclination to fix issues, regardless of your current profession, will make it interesting for you to learn in-demand languages and specialise over time.

You can easily broaden your skills in Big Data Analytics by opting for some online certification courses. The best way to get in-depth knowledge about Big Data Analytics is to study a Computer Engineering (Big Data Analytics) course from a renowned institute like Marwadi University

  • where not just you receive advanced education but good placement opportunities as well.

Need for the Adoption and Integration of Big Data Analytics

Newer technologies related to advanced analytics for Big Data, Predictive Analysis, Business Intelligence and Data Mining are helping companies to achieve maximum performance tiers. These new technologies help companies attain performance by performing highly complex data analytics on multiple huge datasets.

Since Big Data Analytics provides quite an edge over the entire competition, we can notice an immense growth in the integration pace of modern analytics tools. For those looking for the best Big Data Analytics tools, the Apache Hadoop framework is a popular choice. There are also numerous other open-source and commercial frameworks to choose from.

Meet the Skill Gap

Despite being the hottest and trending category globally, there are many unfilled jobs due to skill shortages in Big Data Analytics. Regardless of the fact that there is an ever-increasing demand for Analytics skills, there is a significant supply deficit.

This is happening all across the world and is not limited to any particular territory. The shortage of skilled data analytics talent is acute, and as more organisations look to outsource their work to countries such as India, the demand for them will continue to rise.

Big Data Analytics is Essential in Decision Making

Analytics, a core strategic source of information for most businesses, is set to take the spotlight in the coming years as well. Based on a study, most companies feel that Big Data Analytics will be more valuable to them in the upcoming years. The reason is, as of now, only rudimentary analytics is done by companies, and a good amount of data goes unused.

Moreover, Big Data Analytics empower better decision-making skills and develop strategic initiatives that help firms get an edge against all the alternatives available to the competition. Overall, it adds more value and provides vital information to assist businesses in making accurate and effective strategic decisions.

Enhance Retailer/Customer Relationship

With Big Data Analytics, businesses can get more valuable insights concerning the customers and mitigate the risk arising due to guessing or assumptions. Getting such insights are most helpful to B2B companies. Owing to evidence-based segmentation, you will have the opportunity to develop a fluid and user-driven customer experience for the firm.

As a member of a Big Data Analytics team with direct connections to customers' acquisition channels, you can assist brands in executing personalised marketing strategies that improve customer loyalty.

Salary Expectations

As a result of the continuous demand for Data Analytics talent, the pay rises for competent Big Data professionals. Companies are now willing to pay substantial amounts of money for suitable personnel. Salary trends for Big Data Analytics professionals are increasing positively and exponentially.

The yearly pay raise for Big Data Analytics professionals is greater than that of other IT professionals, often to the extent of 50 per cent. For students who have computer literacy, are logically driven and can communicate efficiently, you should consider Big Data Analytics as your career move.

Diverse Job Profiles and Types in Big Data Analytics

There are multiple career options available, both in terms of the field and the nature of work. Because analytics is used in numerous different businesses, there are various job profiles to explore.

Here are some job roles:

  • Big Data Engineer
  • Analytics Associate
  • Big Data Analytics Architect
  • Big Data Analyst
  • Metrics and Analytics Specialist
  • Big Data Solution Architect
  • Business Intelligence and Analytics Consultant
  • Big Data Analytics Business Consultant

You can choose from three types of Data Analytics:

  • Predictive Analytics
  • Descriptive Analytics
  • Prescriptive Analytics

Top companies such as IBM, Microsoft, Oracle, Ayata, Alteryx, Teradata, Platfora, Karmasphere, ITrend, and many more use Big Data Analytics to fulfil their business needs. You can look for employment opportunities in such companies.

All in all, Big Data Analytics is here to survive, and you can surely consider it as your best career move ever!!