Top Five Big Data Jobs That Will Be In Demand in Coming Years

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Big data and data analysts are becoming one of the highest valued resources in the world of business. Big data jobs are high in demand. From the governments to hospitals, schools and business organizations, every sector has started to rely on big data for their operations.

What do Big Data do For Us?

A research conducted by McKinsey’s Business Technology Office reveals that the retailers who rely on big data are more likely to augment their growth by 60%. Government, education, health, and industrial sectors utilize big data to keep an eye on consumer insight. This helps them innovate their services to meet and exceed their consumers’ expectations. It helps them stay ahead of their competitors in the market. Moreover, it enables these organizations to keep their productivity and transactional data in check.

However, in order to operate smoothly, these organizations need professionals to take big data roles for them. This is the reason why more big data jobs have emerged within the last two years.

Top Five Big Data Jobs:

Since business intelligence is transforming rapidly, the requirement for the data professionals to takes these big data jobs has also increased. A person with exceptional data and analytical skills can easily land these roles. Without skilled professional on their team businesses would struggle to achieve the goals they have set for themselves. Following are the top five big data jobs that will be in high demand in the coming year.

Data architect:

Data architects are responsible for building and maintaining the database of the company they are working for. Their role requires them to identify the best structural and installation solutions for the company. They secure access to the important data of the company by working closely with data analysts and database administrators. The major roles of a data architect include:

  1. Generating database solutions
  2. Evaluation of the requirements
  3. Preparation of the design reports
  4. Monitoring data transfer from conventional systems to new solutions
  5. Keeping the system performance in check
  6. Performing regular tests
  7. Integration of new features
  8. Troubleshooting

Data analysts:

The role of a data analyst is to translate data into information that can be utilized to enhance the business. This information governs the business decisions of the company.  A Data Analyst is responsible for collecting relevant data from a vast range of sources. This data is used for the interpretation of the trends and patterns of the market. After collection and interpretation of data, the data analyst reports his findings in a comprehensive study. These findings are shared with the relevant colleagues and wider business.

In order to flourish in the data analyst role, the candidate must be:

  1. Experienced in data modeling
  2. Experienced in analyzing big data sets
  3. Able to write comprehensive data reports
  4. Possesses an analytical mind
  5. Have Problem-solving skills
  6. Works with attention to detail

Data scientist:

Data scientists are responsible for collection of disorderly data and making it more understandable. They use data-driven techniques to solve the business problems of the company they are working for. They should be expert in using a range of programing languages including Python, R, and SAS. They should be well experienced in using the latest analytical techniques including text analytics, machine learning, and deep learning. Moreover, they should be able to identify trends, orders, and patterns in the data that can help the business to grow.

In order to excel in this field that candidate must:

  1. Have stronghold of statistics
  2. Communicate with IT and the business
  3. Have a grasp on distributions and statistical tests

Business intelligence analyst:

A business intelligence analyst is responsible for designing and providing intelligent solutions for the business they are working for. The role of these professionals is to:

  1. Define a new structure for business intelligence
  2. Develop new solutions for business intelligence that serve a particular purpose
  3. They should be adept in report writing
  4. Should comminute well with the developers
  5. Should possess knowledge of data storage structures
  6. Should know how to use data to aid business intelligence

Database developer:

Database developers make sure that massive amount of data is being effectively handled by the data management systems. They are also referred to as database programmers. They work within the software development team to make the system run smoothly.

Database developers majorly working across the following areas:

  1. Modification of databases
  2. Editing of databases
  3. Developing new databases
  4. Troubleshooting any database issue

 

Conclusion:

2019 is the year of big data jobs explosion. It is high time to increase training opportunities for the people who want to pursue big data job. Enhancing the skill set of the future generation can benefit a wide range of government and corporate sectors.

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