10 Reasons Why Big Data Analytics is the Best Career Move

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Jan 8, 2015
10 Reasons Why Big Data Analytics is the Best Career Move
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The Great White is considered to be the King of the Ocean. This is because the great White is on top of its game. Imagine if you could be on top of the game in the ocean of Big Data!

Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there.

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Why Big Data Analytics is the Best Career move

If you are still not convinced by the fact that Big Data Analytics is one of the hottest skills, here are 10 more reasons for you to see the big picture.

1. Soaring Demand for Analytics Professionals:

Jeanne Harris, senior executive at Accenture Institute for High Performance, has stressed the significance of analytics professionals by saying, “…data is useless without the skill to analyze it.” There are more job opportunities in Big Data management and Analytics than there were last year and many IT professionals are prepared to invest time and money for the training.

The job trend graph for Big Data Analytics, from Indeed.com, proves that there is a growing trend for it and as a result there is a steady increase in the number of job opportunities.

Big Data Analytics Job Trend

Source: Indeed.com

The current demand for qualified data professionals is just the beginning. Srikanth Velamakanni, the Bangalore-based cofounder and CEO of CA headquartered Fractal Analytics states: “In the next few years, the size of the analytics market will evolve to at least one-thirds of the global IT market from the current one-tenths”.

Technology professionals who are experienced in Analytics are in high demand as organizations are looking for ways to exploit the power of Big Data. The number of job postings related to Analytics in Indeed and Dice has increased substantially over the last 12 months. Other job sites are showing similar patterns as well. This apparent surge is due to the increased number of organizations implementing Analytics and thereby looking for Analytics professionals.

In a study by QuinStreet Inc., it was found that the trend of implementing Big Data Analytics is zooming and is considered to be a high priority among U.S. businesses. A majority of the organizations are in the process of implementing it or actively planning to add this feature within the next two years.

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2. Huge Job Opportunities & Meeting the Skill Gap:

The demand for Analytics skill is going up steadily but there is a huge deficit on the supply side. This is happening globally and is not restricted to any part of geography. In spite of Big Data Analytics being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.

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India, currently has the highest concentration of analytics globally. In spite of this, the scarcity of data analytics talent is particularly acute and demand for talent is expected to be on the higher side  as more global organizations are outsourcing their work.

According to Srikanth Velamakanni, co-founder and CEO of Fractal Analytics, there are two types of talent deficits: Data Scientists, who can perform analytics and Analytics Consultant, who can understand and use data. The talent supply for these job title, especially Data Scientists is extremely scarce and the demand is huge.


3. Salary Aspects:

Strong demand for Data Analytics skills is boosting the wages for qualified professionals and making Big Data pay big bucks for the right skill. This phenomenon is being seen globally where countries like Australia and the U.K are witnessing this ‘Moolah Marathon’.

According to the 2015 Skills and Salary Survey Report published by the Institute of Analytics Professionals of Australia (IAPA), the annual median salary for data analysts is $130,000, up four per cent from last year. Continuing the trend set in 2013 and 2014, the median respondent earns 184% of the Australian full-time median salary. The rising demand for analytics professionals is also reflected in IAPA’s membership, which has grown to more than 5000 members in Australia since its formation in 2006.

Randstad states that the annual pay hikes for Analytics professionals in India is on an average 50% more than other IT professionals. According to The Indian Analytics Industry Salary Trend Report by Great Lakes Institute of Management, the average salaries for analytics professionals in India was up by 21% in 2015 as compared to 2014. The report also states that 14% of all analytics professionals get a salary of more than Rs. 15 lakh per annum.

A look at the salary trend for Big Data Analytics in the UK also indicates a positive and exponential growth. A quick search on Itjobswatch.co.uk shows a median salary of £62,500 in early 2016 for Big Data Analytics jobs, as compared to £55,000 in the same period in 2015. Also, a year-on-year median salary change of +13.63% is observed.

The table below looks at the statistics for Big Data Analytics skills in IT jobs advertised across the UK. Included is a guide to the salaries offered in IT jobs that have cited Big Data Analytics over the 3 months to 23 June 2016 with a comparison to the same period over the previous 2 years.

Analytics Job Titles and their Salaries

4. Big Data Analytics: A Top Priority in a lot of Organizations

According to the ‘Peer Research – Big Data Analytics’ survey, it was concluded that Big Data Analytics is one of the top priorities of the organizations participating in the survey as they believe that  it improves the performances of their organizations.

Big Data Analytics - A Top Priority in Organizations

Based on the responses, it was found that approximately 45% of the surveyed believe that Big Data analytics will enable much more precise business insights, 38% are looking to use Analytics to recognize sales and market opportunities. More than 60% of the respondents are depending on Big Data Analytics to  boost the organization’s social media marketing abilities. The QuinStreet research based on their survey also back the fact that Analytics is the need of the hour, where 77% of the respondents consider Big Data Analytics a top priority.

A survey by Deloitte, Technology in the Mid-Market; Perspectives and Priorities, reports that executives clearly see the value of analytics. Based on the survey, 65.2% of respondents are using some form of analytics that is helping their business needs. The image below clearly depicts their attitude and belief towards Big Data Analytics.

Big Data Analytics - A Top Priority in Organizations

5. Adoption of Big Data Analytics is Growing:

New technologies are now making it easier to perform increasingly sophisticated data analytics on a very large and diverse datasets. This is evident as the report from The Data Warehousing Institute (TDWI) shows. According to this report, more than a third of the respondents are currently using some form of advanced analytics on Big Data,  for Business Intelligence, Predictive Analytics and Data Mining tasks.

With Big Data Analytics providing an edge over the competition, the rate of implementation of the necessary Analytics tools has increased exponentially. In fact, most of the respondents of the  ‘Peer Research – Big Data Analytics’ survey reported that they already have a strategy setup for dealing with Big Data Analytics. And those who are yet to come up with a strategy are also in the process of planning for it.

Formal Strategy for Big Data AnalyticsWhen it comes to Big Data Analytics tools, the adoption of Apache Hadoop framework continues to be the popular choice. There are various commercial and open-source frameworks to choose from and organizations are making the appropriate choice based on their requirement. Over half of the respondents have already deployed or are currently implementing a Hadoop distribution. Out of them, a quarter of the respondents have deployed open-source framework, which is twice the number of organizations that have deployed a commercial distribution of the Hadoop framework.

Adoption of Big Data Analytics Tools

6. Analytics: A Key Factor in Decision Making

Analytics is a key competitive resource for many companies. There is no doubt about that. According to the ‘Analytics Advantage’ survey overseen by Tom Davenport, ninety six percent of respondents feel that analytics will become more important to their organizations in the next three years. This is because there is a huge amount of data that is not being used and at this point, only rudimentary analytics is being done. About forty nine percent of the respondents strongly believe that analytics is a key factor in better decision-making capabilities. Another sixteen percent like it for its superior key strategic initiatives.

Even though there is a fight for the title of ‘Greatest Benefit of Big Data Analytics’, one thing is undeniable and stands out the most: Analytics play an important role in driving business strategy and making effective business decisions.

Key Benefits of Big Data Analytics

Seventy Four percent of the respondents of the ‘Peer-Research Big Data Analytics Survey’ have agreed that Big Data Analytics is adding value to their organization and allows vital information for making timely and effective business decisions of great importance. This is a clear indicator than Big Data Analytics is here to stay and a career in it is the wisest decision one can make.

7. The Rise of Unstructured and Semistructured Data Analytics:

The ‘Peer Research – Big Data Analytics’ survey clearly reports that there is a huge growth when it comes to unstructured and semistructured data analytics. Eighty four percent of the respondents have mentioned that the organization they work for are currently processing and analyzing unstructured data sources, including weblogs, social media, e-mail, photos, and video. The remaining respondents have indicated that steps are being taken to implement them in the next 12 to 18 months.

Rise of Unstructured Data

8. Big Data Analytics is Used Everywhere!

It is a given that there is a huge demand for Big Data Analytics owing to its awesome features. The tremendous growth is also due to the varied domain across which Analytics is being utilized. The image below depicts the job opportunities across various domains.

Big Data Analytics Across Domains

9. Surpassing Market Forecast / Predictions for Big Data Analytics:

Big Data Analytics has  topped a survey carried out by Nimbus Ninety, as the most disruptive technologies that will have the biggest influence in three years’ time. Added to this, there are more market forecasts that support this:

  • According to IDC, the Big Data Analytics market will reach $125 billion worldwide in 2015.

  • IIA states that Big Data Analytics tools will be the first line of defense, combining machine learning, text mining and ontology modeling to provide holistic and integrated security threat prediction, detection, and deterrence and prevention programs.

  • According to the survey ‘The Future of Big Data Analytics – Global Market and Technologies Forecast – 2015-2020’, Big Data Analytics Global Market will grow by 14.4% CAGR over this period.

  • The Big Data Analytics Global Market for Apps and Analytics Technology will grow by 28.2% CAGR, for  Cloud Technology will grow by 16.1% CAGR, for Computing Technology will grow by 7.1% CAGR, for NoSQL Technology will grow by 18.9% CAGR  over the entire 2015-2020 period.

10. Numerous Choices in Job Titles and Type of Analytics :

From a career point of view, there are so many option available, in terms of domain as well as nature of job. Since Analytics is utilized in varied fields, there are numerous job titles for one to choose from.

  • Big Data Analytics Business Consultant

  • Big Data Analytics Architect

  • Big Data Engineer

  • Big Data Solution Architect

  • Big Data Analyst

  • Analytics Associate

  • Business Intelligence and Analytics Consultant

  • Metrics and Analytics Specialist

Big Data Analytics career is deep and one can choose from the 3 types of data analytics depending on the Big Data environment.

  • Prescriptive Analytics

  • Predictive Analytics

  • Descriptive Analytics.

A huge array of organizations like Ayata, IBM, Alteryx, Teradata, TIBCO, Microsoft, Platfora, ITrend, Karmasphere, Oracle, Opera, Datameer, Pentaho, Centrofuge, FICO, Domo, Quid, Saffron, Jaspersoft, GoodData, Bluefin Labs, Tracx, Panaroma Software, and countless more are utilizing Big Data Analytics for their business needs and a huge job opportunities are possible with them.


Analytics no matter how advanced they are, does not remove the need for human insights. On the contrary, there is a compelling need for skilled people with the ability to understand data, think from the business point of view and come up with insights. For this very reason technology professionals with Analytics skill are finding themselves in high demand as businesses look to harness the power of Big Data. A professional with the Analytical skills can master the ocean of Big Data and become a vital asset to an organization, boosting the business and their career.


Got a question for us? Please mention them in the comments section and we will get back to you.

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  • priyaranjan


    this is priyaranjan. I have done B.Tech in electrical and electronics engineering with more than 6 years of core electrical field. I want to do Qlikview or tableau to shift to business analyst field. will it be helpful? I dont have any experience nor knowledge in this field..

    • EdurekaSupport

      Hey @disqus_7igNO6Y3F1:disqus You can surely think about changing your field ad upskilling with Qlikview and Tableau. To learn Tableau, you do not need to have any programming proficiency. Get started with Tableau training today, click here: https://www.edureka.co/tableau-training-for-data-visualization
      Hope this helps :)

  • Rohit Singh

    I am working as a SAP ABAP developer in my organisation, I wants to switch to data analytics so please guide me

    • EdurekaSupport

      Hey Rohit! We are always happy to help people learn and upskill. Having a certification with good hands-on experience will help you to make that transition from being a ABAP developer to moving into Data Analytics. Our live online instructor-led sessions will help you with just that. Check out our Data Analytics course here: https://www.edureka.co/masters-program/data-analyst-certification
      Hope this helps :)

  • subhash

    Is Big data and Big data Analytcis Same. After reading this blog what i understood is core java is required and i will learning pig in course as well. Is that same in Big Data analytics. I am a digital marketer, even we deal with Analytics. What we do and big data analytics both are same ? please clarify

    • EdurekaSupport

      Hey Subhash! We think you are still confused abut the different role each of these 3 play : Data analyst, Big Data analyst and Big Data Scientist.
      Big Data Scientist – Data scientists combine statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently to find patterns, along with the activities of cleansing, preparing, and aligning the data.
      Big Data Analyst – the definition of Big Data reads, “Big data is high-volume and high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision-making, and process automation.” Big Data analytics find insights that help organizations make better business decisions.
      Data Analyst – Data Analytics is the science of examining raw data with the purpose of finding patterns and drawing conclusions about that information by applying an algorithmic or mechanical process to derive insights.The work of a data analyst lies in inference, which is the process of deriving conclusions that are solely based on what the researcher already knows; for example, running through a number of data sets to look for meaningful correlations between each other.
      Hope this helps. Cheers :)

  • RajaSekar Js

    hai i am rajasekar 8month experience in Testing & android . is possible to go my path in Bigdata.

    • EdurekaSupport

      Hey Rajasekar, thanks for checking out our blog.
      Yes, if you’d like to take up a Big Data Developer career track, you can definitely go for this course.
      The basic pre-requisites to learn Hadoop are knowledge of core Java and SQL. But, we provide you with a complimentary self-paced course on Java essentials for Hadoop when you enroll for our course so you don’t need to worry. You can check out our course details here: https://www.edureka.co/big-data-and-hadoop. Hope this helps. Cheers!

  • Malireddy Haima

    Hi, I am currently into IT domain (Support Functions) with total 8+ years exp working with Data Transmission Team. I do not have any Programming Language Knowledge for Java or any knowledge for SQL, can I still learn BIG DATA. Also is there any fees if I want to enroll for the Certification class?

    • EdurekaSupport

      Hey Malireddy, thanks for checking out our blog.
      Though basic knowledge of Java and SQL is recommended for learning Big Data, it is not mandatory. You can still familiarize yourself with Big Data and Analytics and open up many interesting career opportunities. You can check out our course details here: https://www.edureka.co/big-data-and-hadoop. You can also start by learning Java and then take Hadoop. Hope this helps. Cheers!

  • Vadlamani Ravi

    While I am not at all surprised at the surge of analytics/big data analytics in almost all disciplines, I am extremely happy that people who matter recognized its immense potential and proven capability. This paves way for humongous growth in jobs in this field in the next 30 years. Long live Analytics/Big data Analytics!!!

    • EdurekaSupport

      Long live Analytics/Big data Analytics indeed! :)

  • manish thakur

    I am having 8 years of business development and sales experience within IT, automobile and e-com. I am looking for a career change, How should I start with Big data?

  • Abdullah Jalaluddin Siddique

    I have more than 10 years experience in Oracle plsql and Unix .
    But I have no knowledge of java ..what is my scope in career learning big data ..can you please provide some insight

    My details
    Abdullah Siddique

    • EdurekaSupport

      Hey Abdullah, thanks for your interest.
      We have passed on your contacts to our team and they will get in touch with you to advice you. Hope this helps. Cheers!

  • Kvss Reddy Bigdata
  • kamya niyati

    I am senior working person in materiel testing lab with 24y experience with chemistry & analytical chemistry background. I would like to go into big data & analytics side withis experience. Is it possible to switch over. Kindly advice & guide me. Thanks in advance