5 Career Opportunities in Data Analysis To Change Your Life
Are you still toying with the idea of what career should you opt out?
Since when automation has come in, every discipline and every domain in all industries have been undergoing changes. They emerge as a breakthrough to explore new ways of smart work and growth.
At the epicenter, there is data. It’s receiving multitudes of datasets from IoT devices, servers, clouds and Hadoop. The data world is no more limited to data fetching, extraction and entry work. It’s expanding with an exponential pace.
To tap its growth speed, the employment sector requires relevant talent. That talent should be able to cope with its management, filtering, storage, analysis and mining challenges. That’s why the human resource department is a busy bee. It has to deliver hundreds of career opportunities in data analysis and management. Even, you can see the government jobs have a demand of data analysts, data researchers and analysts.
If you’re dead serious to crack the government job examination or private job interview, you should know the significance of data analysis & management. Thereby, you would be able to build around specialized capabilities.
Let’s catch the career opportunities in data analysis:
1. Management and Strategy Consulting:
Kurzweil-the author of article ‘Technological Singularity’ has perceived that human life will be irreversibly transformed. The artificial intelligence would squarely represent the human civilization. The dominance of automation is turning almost every domain into a data factory. Cloud servers and Hadoop are replacing individual hard disks.
The sixth edition of DOMO’s research explicitly states that the world witnesses over 2.5 quintillion bytes of data every single day. It also perceives that 1.7 MB of data will be generated every second for every person on the earth by 2020.
It’s clear that data production is never going to cease. That’s why the data analysts are required in auditing and consulting role. What alternatives and tools would be suitable for the data management of an organisation, how the data should be segmented in a sorted format, how to define authority and a lot more are a few strategy consulting goals that you should be well-versed with.
2. IT and IT-Managed Services:
As MB consumption is shifting to terabytes & zettabytes, the global organisations are stretching their reach. The reasons are obvious. The enhancing dimensions of IoTs and automation are responsible for it. Therefore, the data analysts are a must to have in a firm for managing IT services.
Let’s say, a medium scale enterprise doesn’t have a big pocket to bear the exaggerated cost of cloud computing. Therefore, the data analyst who would have integrated IT networking skills should estimate the influx of data and its bandwidth consumption per day. On that basis, he can come up with the suggestions of installing mesh networking.
3. Cyber-physical expertise in manufacturing:
It basically relates to the manufacturing industry. The drones are evolved for screening and releasing the burden of human resources. The manufacturing domain has a lot of mechanical production and IT engineers. They are trained in robotics. They have to walk hand and hand with the robotic counterparts.
Before that, the manual workforce has to extract and streamline datasets that are commonly used to command. Those common phrases are fed into the chatbots algorithms to let them comply with the requests of the engineers.
4. Data sciences and analytics with apps:
Glaser says, “Traditionally, business analysts might be focused on measuring straight-forward business metrics like customer churn, but they would have rarely been tasked with predicting future churn.”
The marketing pressure is pushing the need of data analysts. The challenges of tackling natural language processing are soaring high. Businesses require model construction and predictive analytics for developing intelligence-a new learning. That’s why the data analysts with a stronghold on R and Python are in demand. They are able to translate numbers into a predictive strategy after churning the consumers’ data.
In all, the analysts are in a great demand in financial services, agriculture, healthcare and government jobs.
5. Social and education innovator:
The corporate social responsibility pushes several entrepreneurs to uplift the downtrodden people. They kick start NGOs to share social responsibilities. The automation is also stretching in those arenas. That’s why the data analysts are required for transforming the social structure.
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