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20 Reasons Why Big Data Analytics is the Best Career Move

By   /  October 26, 2017  /  No Comments

Click to learn more about author Anil Parmar.

An estimated 2.7 million job postings for Data Analytics and science are projected in the United States by 2020.

With more and more companies understanding the importance of Big Data as a useful source for gaining insights and making informed decision- the demand for Data Analytic specialists who can define the Big Data, uncover hidden pattern, spot opportunities and create insights for the betterment of a business, are surely benefiting from most trending job opportunities in 2017.

If you have given a second thought about Big Data Analytics as a career move, then this blog will highlight insights about the opportunities and advantages that you may not have known.

Let’s begin:

1 – Easy to Start

The word Data Analytics itself defines the involvement of programming frameworks that include Java, C, Python, or Scala, however, nothing can replace if you have an ability to thinks ways to breakthrough a solution.

Having a natural desire to find solutions, irrelevant to your present profession, will make it easy and interesting for you to learn languages that are in demand and specialize with time.

Takeaway

There are many certification courses and material available online for new, as well as, knowledgeable candidates who want to broaden their skills in Big Data. From offering basic knowledge of Java or OOPS programming, get a chance to learn about working with Unix /Linux platforms and tools like Apache Hadoop, R.

Get the latest update of Hadoop and access useful resources/tutorials about Big Data analysis framework at tutorialspoint.

2 – Part of the Most Demanded Profession

Big Data Analytics is considered to be the most trending expertise by 75% IoT providers and over 68% of them are struggling to find employees with relevant expertise.

Considering the above facts and figures, you can imagine the scope of professional opportunities in 2017 and the years to come.

Takeaway

Considering Prescriptive Analytics, Predictive Analytics, and descriptive statistics as the major 3 types of Data Analytics job opportunities, focusing on a niche can help you master and get a competitive advantage in specific areas.

3 – Multi-industry/Domain Opportunities

With popular brands Software AG, Oracle Corporation, IBM, Microsoft, SAP, EMC, HP and Dell investing more than $15 billion in software firms specializing in Data Management Analytics automatically has increased the demand for Information Management specialists across multiple industry and domain-types.

Takeaway

Advancement in Big Data Analytics is offered to attain cost-effective solutions and improve decision making power in multiple development areas that include healthcare, manufacturing, education, media, retail and even real estate. This way, you get a chance to select from a variety of industries that matches your skills and interests.

4 – Competitive Salary

With three out of top five technical jobs of 2017 being involved with analytics (Data Architects a median salary of $122,000, Data Managers a median salary of $109,000 and Data Engineers with a median salary of $105,000), the monetary benefits of shifting to a Data Analytics career can prove to be more than any other IT professional.

Takeaway

Students and young people who are logically driven, computer-savvy and excellent communicators looking to make an above-average income while working for fixed hours should look into a Big Data Analytics as a career move.

5 – Explore Popular Analytics Tools and Techniques

If you have a flair for math and statistics, Big Data Analytics career move will allow you enhance your skills in applied statistics, linear algebra, real analysis, numerical analysis, and graph theory.

Takeaway

A degree in computer science will be an added advantage and allow you to enhance your skills for Python, Hive, and SQL coding, as these skills will help to stay ahead of the Big Data Analytics game.

6 – Enhance Retailer/Customer Relationship

Especially for B2B companies, Big Data Analytics is helping them better insights about their customer’s and eliminate the risks of taking dark guesswork. Being a part of the evidence-based segmentation and reporting structure, you’ll be able to build more-fluid and user-driven customer experience with the firm.

Takeaway

Apart from being a part of a Big Data Analytics team, having access to customer’s acquisition channels you can help brands perform personalized marketing tactics which in turn builds on customer’s loyalty.

7 – Have an Authority

By performing Big Data Analytics you gain insights about what has worked and what didn’t, this way you automatically be the key person of the organization who will take actions as your analysis and solutions provided.

Takeaway

Being a part of the key performance analysis for an organization, get a chance to influence top-level management, who in turn, will always depend on you for making crucial business decisions in future.

8 – Key Decision-Making Power

Big Data Analytics is an added value to any organization that allows them to make informed decisions and providing the biggest edge over competitors. Therefore, adopting Big Data career move increase the chances of becoming a key decision maker for an organization.

Takeaway

With more and more companies depending on Big Data specialists, working with the key person of the organization to streamline decision making layers from top to bottom and coordinate with local levels to act on insights.

9 – Hang of Multiple Programming Languages

Big Data Analytics is not limited to a single language or a framework, instead, combining advanced statistical and quantitative skills with programming ability there are many other potential languages that you can specialize in.

Takeaway

You may already have some knowledge of Java, Perl, Ruby, or even C++, adopting Big Data Analytics as a career you can extend your programming capabilities to Scala and Julia and MATLAB too.

10 -Work with Recognized Brand Names

Apart from having an opportunity to work with start-ups and small companies- IBM, SAP, Microsoft, HP, and Oracle are also posting job opportunities for exploring Big Data research. Of course, big companies will require data specialist with prior experience, but they can always be a growth opportunity for you in the future.

Takeaway
Having an ability to crack a Data Analytics job with a big name, you may eliminate the costs in learning the programming language as you will automatically get a chance to work with a team of experts who are already using multiple languages in their daily tasks.

11 – Become Specific Domain Campaign Expert

Big Data Analytics works upon multiple technical languages for targeting multiple campaigns –  For example, market segmentation. Mastering in a particular language, you’ll grab a chance to be accountable for the complete delivery of domains that you will specialize in.

Takeaway

Being an expert, you automatically offer a reliable solution to companies as they will no longer have to depend in purchasing an expensive database from external sources.

12 – Improve your Microsoft Excel Skills

Whether you have a prior experience or not, Data Analytics career role will include the requirement of using Excel in order to clean, organize, manipulate and visualize data. Excel being one of the indispensable tools for managing data, having some knowledge can give you an advantage for cracking a data analytic job faster.

Takeaway

There are many online tutorials and live seminars to educate you on the basics, therefore for those who are new to Excel can directly access video training programs offered by Microsoft itself.

13 – New Skill Opportunities

With data assurance, finance, sales, marketing, and Business Intelligence (BI) being the most popular work areas for a data analyst specialists, you get an opportunity to use your skills across multiple industries.

Takeaway

Acquiring Data Mining, Data Infrastructure, Data Visualization, and decisions analysis skills you can expand your service to different areas and enhance your Data Analytics knowledge with time.

 14 – Growth Opportunity due to Digitization

With the advancement of technology, many companies are understanding the importance of Big Data research and most of them have already adopted comprehensive digital operations to enhance consumer satisfaction. And, with Big Data Analytics allowing companies to fuel their intelligence endeavors, there is a wide scope for beginners and professionals with the relevant skill set.

Takeaway

Taking up Big Data Analytics as a career move does not limit you to a particular field and with the relevant set of technical skills you can easily shift and grow with industries that can best suit your interests.

15 – Become a Freelance Consultant

Big Data analysts are also known as Big Data consultants who offer insights about key areas that include marketing, and sales. Becoming a consultant you will be responsible for the process from strategizing, analyses, to visualization of various data coming from multiple sources.

Takeaway

If you have a good grip with smart algorithms and adopt the latest Big Data technologies, you can act as a key person for multiple companies who will depend on your data insights for taking important decision for the firm.

 16 – Be a Part of Data Podcasts

Podcast is a great place to enhance and explore new Data Analytics job opportunities as a start. There are multiple podcasts available online, with iTunes being one of the popular ones that accommodated specialists from IBM Big Data and Analytics Hub.

Takeaway

Being a part of Data Analytics community, you get a chance to learn and grow together. Additionally, you get a chance to increase visibility among brands and business owners who regularly visit such podcast platforms to understand the potential and growth opportunities with Data Analytics.

 17 – Become a Mentor

With the advancement of your programming skills, you can automatically get recognized while working in a company. This way, you can increase the chances of applying for a mentor’s position and work with a team.

Takeaway

An increasing experience in a specific domain will attract you senior role opportunities that are not just responsible for completing your tasks. Also, educational sites can be your source of income who are constantly looking for mentors for their multiple Big Data Analytics programs.

 18 – Become a Stakeholder

If you have an ability to offer creative solutions with the power of Data Visualization you can become a stakeholder of companies, who will justify your skills by offering something more than a good salary.

Takeaway

As a Data Analytics specialists, you don’t just get stuck with a fixed salary, instead, by helping companies make improved decisions can earn you additional perks and high commission each time.

19 – Become an Excellent Communicator

Data Analytics career prospects will not only depend on how good are you with programming, instead, equally important is the ability to influence companies to take actions. Therefore, each time you work for an organization you will automatically get a chance to improve your communication skills.

Takeaway

With the increasing number of Big Data Analytics projects you work upon, the chances of influencing companies to take actions on-the-go, increases.

20 – Get a Chance to be a Data Scientist

Last, but not the least get a chance to be an all-in-one solution provider that combines the job of a data analyst and data engineers. For example, a mid-size level company will distribute the work of cleaning, structuring and performing Big Data projects. However, many companies depend on one individual (Data Scientist) who perform all tasks.

Takeaway

The job role of a Data Scientist may sound too much, however, having an ability to use your skills in multiple areas related to the successful management of an organization will help you make a unique mark in the world of Big Data Analytics.

Over to You

No matter how advanced Big Data Analytics job gets, the need of human insights will also be in demand. And, with more and more companies looking for experts to understand data and offer effective solutions as per the business point of view, will always improve the demand of Data Analytics professionals in the years to come.

 

About the author

Anil Parmar is the co-founder of Glorywebs, a a full service digital marketing agency that aims to help clients with app design & development, digital marketing, web development, and more. Apps and websites we develop have a common # 1 goal: Keep it as simple as possible for technical as well as non-tech geeks. Follow Anil and Glorywebs at: Twitter, LinkedIn, Facebook, Google+

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