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10 Reasons Why Big Data Analytics is the Best Career Move

Last updated on Nov 08,2024 321.6K Views

5 / 7 Blog from Career Guidance

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 analytics!

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. This 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 Hadoop Course, there is an ocean of opportunities out there. For instance, with skills in Big Data and Hadoop, professionals can unlock a world of opportunities, like optimizing processes in the booming online loan industry. By analyzing vast datasets, lenders can make faster and more informed decisions, ultimately improving the loan application experience for customers.

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.” rusbank.net. 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.

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. Learn more about Big Data and its applications from the Data Engineering Courses online.

You can watch the sample class recording of Edureka’s Big Data and Hadoop course here:

Hadoop Tutorial for Beginners | Hadoop Training | Edureka

 

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.

To get in-depth knowledge on Data Science, you can enroll for live Data Science Certification Training by Edureka with 24/7 support and lifetime access.

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.

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 it is one of the top priorities of the organizations participating in the survey as they believe that  it improves the performances of their 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. Learn more about Big Data and its applications from the Azure Data Engineering Course in India.

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 this tool. And those who are yet to come up with a strategy are also in the process of planning for it.

When it comes to this 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.

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.

Seventy Four percent of the respondents of the survey report have agreed that it 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.

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.

If you also want to learn Big data and make your career in it then I would suggest you must take up the following Big Data Architect Certification.

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’, and the 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.

Conclusion:

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. The Edureka’s Data architect course helps learners become expert in HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain.A professional with Analytical skills can master the ocean of Big Data with the Big Data Training in Chicago and become a vital asset to an organization, boosting the business and their career.

Edureka has a specially curated Data Analyst Course that will make you proficient in tools and systems used by Data Analytics Professionals. It includes in-depth training on Statistics, Data Analytics with R, SAS, and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.

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

 

Comments
326 Comments
  • Hi
    I m student of btech 3yr and i want to make my career in database field and i am so much confused from where to start as i dont like any programming language like java etc so please help me in this

    • Hey Garima, thanks for checking out our blog. Could you please elaborate on your query? Do you mean you want to explore a career in Big Data? Cheers!

  • Hello,
    My Son Completed ICE 2013 Batch.Now He Is Working In INFOSYS As A Java Developer
    Selected From Campus Placement.Now He Want To Move Big Move Big Data.
    Which M.Tech Course Suitable For Him.PGDBA Or MBA(Business Analytics)Or M.Tech
    Big Data Analytics.He Is Good In Coding And Programming.I Am Waiting For Your Reply
    For My Son Career Future Sir.
    Thanks,
    Hassan.

    • +Hassan Kabir, thanks for checking out our blog. Since your son has a good background in Java, he can definitely get started with Hadoop training if a career as a Hadoop Developer interests him. We would not be able to help you with MTech information, but this video would give you more information on Big Data career path: https://www.youtube.com/watch?v=ZrS4RtS-U9I. Hope this helps. Cheers!

  • Hey,I’m ajith I’m doing my 3rd engineering in IT. I’m so confused with all these.. So what certification course should I complete to enter into big data.. Bigdata scientist or big data analytics which is best?.. Do I need to learn java or R or python?.. Hadop ?
    It would be kind to hear from yu..

  • hello,
    I am M.sc computer science grad. I know little java and android. I AM FRESHER.
    IS this biggdata usefull for me to build a career? can get job after learning bigdata ?

    • Hey Bhavya, thanks for checking out our blog. While there are no hard and fast rules with regard to work experience to learn Hadoop/ Big Data, some work experience does make it easier to find suitable jobs. Nevertheless, you can get started with Hadoop training and start gathering relevant skills and experience. Since you already know basic Java, you could take up the Hadoop Developer career track, if that interests you. You can check out more course information here: https://www.edureka.co/big-data-hadoop-training-certification. Hope this helps. Cheers!

  • Hi,
    I am working as a developer with 2.5 yrs of experience.
    I know Python and Mongodb(Nosql database)
    I am interested to learn bigdata.
    What course i need to study for that and how it will be useful for my career growth?

    • Hey Rekha, thanks for checking out our blog. Since you already have work experience as a Developer, you could up-skill with Hadoop, if you’re interested in pursuing a Hadoop Developer career track. Your knowledge of Python will also come in handy with Hadoop MapReduce, PIG and HIVE. You can check out the course curriculum and sample class recording here: https://www.edureka.co/big-data-hadoop-training-certification. If you need further assistance, please share your contact details with us and we will get in touch. Hope this helps. Cheers!

  • Hi,

    I have 2 years of experience in MIS Executive. i am interesting in Big data. Please suggest me what should i do.

    • Hey Vikram, thanks for checking out our blog. While there are no pre-requisites as such for learning Hadoop, knowledge of Core Java and SQL will be beneficial. If you have a basic grasp of these, then you can certainly take up training in Hadoop. This would help you get into a Hadoop Developer career track. You can check out more details here: https://www.edureka.co/big-data-hadoop-training-certification. Hope this helps. Cheers!

  • Hi,

    My husband has 14 years of experience in Home loan and mortgages domain but from Sales and Marketing companies of Finance sector which provides Loan. He has done B.Com and MBA in finance. We are thinking of moving from this marketing area to software. How is Big data analytic as career for him. He is completely non technical. How difficult for him to acquire this new area. Which programming language/ technology he has to learn first.

    • Hey Geeta, thanks for checking out our blog. Knowledge of Java programming is not mandatory for Big Data/ Hadoop but it helps to know Java. Since your husband is from a non technical but finance background, R might be a better option for him if he really wants to move to Big Data Analytics. To pursue Data Analytics with R, statistical knowledge is required. You can check out more details here: https://www.edureka.co/data-analytics-with-r-certification-training. Cheers!

  • Hi,

    I am currently working as an iOS application developer with almost 5 years of job experience and have good knowledge about mysql and database.
    I would like to know that how can switch my career to big data with amend to my current IT Experience?

    Regards,
    Akhil Singh

  • hi i am planing to learn hadoop is that programming knowledge is required ?, can plz suggest me my ph no:9821433800

    • Hey Pavan, thanks for checking out our blog. We have passed on your contacts to our expert team. You can expect a call within 24 hours. Cheers!

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10 Reasons Why Big Data Analytics is the Best Career Move

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