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.
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 2018 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 to 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 into 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 – 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
Source – http://www.dataversity.net/20-reasons-big-data-analytics-best-career-move/