Data analytics is defined as a process of inspecting, transforming, and examining the data to filter useful information. Every organization needs to handle a large amount of data for the success of their company. And the work to organize the large data-sets is handled by the professional data analysts. These days the demand of the professionals for data analyst job profile is also so high in the job market. Candidates can make a great deal by making their career in this particular field.

If you are the one who is good in programming and have good analytical and problem-solving skill, then without any second thought you can get into this field.

How to enter into this field?


Candidate from computer science and IT stream can easily make their career in the field of data analytics. A complete four-year degree and a strong IT background is beneficial to get a job in any reputed firm. Candidates also need to take 3 to 6-month training in any company to understand the different techniques and company work environment. Along with the bachelor degree, strong analytical and problem-solving skill can make a valuable employee.

Future Scope and Salary Structure of Data Analytics:


Well, if we talk about career growth in this field, then it is unbelievable. Seekers can apply for various profiles such as Data Scientist, Data Analyst, Big Data Engineer, and Statistician which are offered by various big companies. Candidates can earn more than their expectations in this field. This is considered as a fast-growing field and it is expected that the demand will be high in near future. Nowadays, data analytics or big data is one of the top priorities of the organizations. Because of its useful features, it can help in the growth of the business.

Most candidates want to make their career in this field because of the huge scope. Data analytical candidate can earn up to 30k at the initial level. After taking some experience a person can easily earn higher package.

What are the different types of Designations in the Data Analytic field?


  • Marketing Data Analyst
  • Senior Data Analyst
  • Analytical Consultant
  • Big data engineer
  • Analytics Specialist

There are many big companies in India includes IBM, Microsoft, Oracle, Platfora, ITrend and many more companies that provide countless jobs in data analytical field.

Here are some techniques and tools used in data Analytics:


  • KNIME: Knime is an open source data analytic tools that allow analyzing, managing, manipulate and modeling the data in an intuitive way to via visual programming. KNIME is written in Java and based on Eclipse. It allows users to visually create data flows or allow users to execute some or all analytical steps.


  • Node XL: It is open source network analysis software for Microsoft Excel. These tools allow users to access the social media network data, advanced network metrics, and automation. NODEXL is a set of some pre-built class libraries using a custom windows presentation foundation. This is the best tool for the users who have less programming experience. This tool helps in the data import, graph visualization, data representation etc.


  • Dataiku: This is software that provides efficiency in team building, prototyping, exploring and delivering the data more efficiently. It provides an interactive user interface where they can build, click and use different languages like SQL. You can easily handle the workflow automation and also monitoring of data is quite easy with this tool.

These are some useful tools that provide an easy way to manage the data. It is most important from the business point of view to counter all those hurdles and give a proper form of approach towards increasing business and making it count.