What is the scope of data analyst in India?

 

  • Introduction
  • First, let’s understand what a Data Analyst is?
  • What is the role of a Data Analyst?
  • Who can be a Data Analyst?
  • Skills required to become a Data Analyst
  • Why should you become a Data Analyst?
  • How can you start your career in Data Science?
  • Future of Data Analysts in India
  • Soaring demand for Analytics Professionals in India
  • Scope of Data Analyst in India
  • Salary of Data Analyst in India as per Payscale
  • Conclusion

 

Introduction

It is predicted that the field of data science will change a great deal over the next ten years, leading to increased demand for data analysts. As the number of data scientists needed continues to rise, companies will seek qualified individuals.

Some of the best jobs available in today’s economy are related to data science, and more people than ever before are taking courses in data science. Many companies will report high salaries associated with these positions to attract talented people.

If you wish to advance your career in data science, a quality Data Science course is crucial for building a good foundation.

 

First, let’s understand what a Data Analyst is?

A data analyst is a professional who interprets data, often from complex systems, to inform business understanding and support decision making.

Many companies use their big data (data they have collected over an extended time) to make responsible decisions concerning their business.

It is predicted that the demand for Data Analysts will increase in future years due to the use of Data Science.

 

What is the role of a Data Analyst?

  • Analysing complex data sets to help companies understand their business and make better decisions
  • ·Using statistical analysis to test assumptions, ad use experience to inform future decisions
  • Working with computer scientists on the design and implementation of systems that will process vast amounts of data
  • Developing and implementing models, often from data sets with millions of records.
  • Presenting data to a range of audiences to sell the benefits of collected data and analysis

 

Who can be a Data Analyst?

  • Graduation, preferably in Computer Science, or a quantitative field such as mathematics or statistics.
  • Preferred majors include computer science, software engineering, applied mathematics and information systems (these last two will help analyse data sets from technology).
  • Should have experience with programming languages such as Java, C++ or Python.
  • Should have preferred knowledge in the Hadoop ecosystem and MapReduce framework.
  • Familiarity with SQL is preferred (although not essential).
  • Strong communication skills are needed as Data Analysts will need to present findings of the analysis to a range of audiences.

 

Skills required to become a Data Analyst

Here are the preferred skills to have a successful career as a Data Analyst:

  • Knowledge in SQL language is preferable but not mandatory.
  • Experience in NoSQL databases such as MongoDB or Hadoop is also preferred.
  • Familiarity with programming languages (e.g. Java, Python) and other analytic tool sets are helpful as well.
  • Deep understanding of mathematics (probability, linear algebra, statistics.)
  • Experience working in a Linux/Unix environment will give you an advantage over others.
  • Knowledge of machine learning techniques and algorithms
  • Highly analytical and logical thinking is required to solve problems related to data analysis.
  • Creative problem-solving abilities will be necessary as the job requires a strong understanding of what can or cannot be achieved when processing large amounts of data.
  • Excellent written and verbal communication skills to ensure that you can report findings to a range of audiences.
  • Excellent organisation skills and time management will be needed as there are often deadlines in this sector.
  • Team skilled people will have an advantage because Data Analysts work in teams with large numbers of data scientists and engineers.

 

Why should you become a Data Analyst?

The demand for people with experience in analysing and interpreting complex data sets is increasing rapidly.

You will be the backbone of companies that are using big data to make better business decisions.

You will get job security as the demand is increasing.

The need for experts who are well-versed in data analysis will always be needed – it’s not a way of life that could become obsolete.

 

How can you start your career in Data Science?

If you have completed a degree and are looking for opportunities, this sector might be the perfect fit for you.

You don’t necessarily need the experience to get involved in this field, but a degree will give an added advantage when applying for jobs.

Certification in data science is helpful to show that you have studied and understood certain concepts. Your application will stand out from other candidates. 

Certification is available from the International Institute for Analytics. RISE WPU offers curated, industry-relevant, innovative and affordable PGP in Data Science with scholarships, no-cost EMI option for the course, assisted internships, lifelong mentorships, tremendous opportunities to get real-world experience in data analysis.

Volunteering with nonprofits is another way to get involved and develop skills that could help you land a job in this field.

You could also improve your knowledge of data analysis by reading books, taking online courses or attending webinars.

 

Future of Data Analysts in India

As of now, data analyst is considered a hot career option in India.

The market has seen significant demand for data scientists who can help companies make more informed decisions.

There is a huge demand for candidates with data science skills in India, as the country is quickly embracing technology and innovation.

In future, Data Analysts will have an even more critical role to play as the world turns to big data for everything from improving health care to predicting weather patterns and natural disasters.

 

Soaring demand for Analytics Professionals in India

Demand for quality Analytics professionals in India has been on a steep rise. This demand is fuelled by an increased focus on Big Data and Analytics to derive meaningful insights and drive better business decisions at both organisational and country levels.

LinkedIn’s 2020 Emerging Jobs report observed that India would continue to be focused on jobs requiring hard tech skills due to more companies looking for technology talent. (Source)

All technology talent is not similar. Within the data analytics world, there are several specialist and generalist roles one can perform.

In India, organisations and the government are fast adopting big data analytics to improve decision making across sectors.

 

Scope of Data Analyst in India

India is entering an era where every aspect of human life will be dependent on data – how we live, eat, learn and communicate are all being revolutionised by technology and the data it generates. As this dependence increases, demand for professionals with deep skills in processing and analysing large quantities of data is also shooting up.

Data Sciences in India is a ‘high growth area’ and will offer many opportunities for career development. There are currently plenty of data analytics jobs in India, including roles like Data Scientist, Predictive Analyst, Statistician and more. However, the number of professionals with these skills remains low. It means that if you have a background in data sciences and analytics, you will be highly sought after.

Soon, we would expect an upsurge in demand for professionals with big data expertise, especially skilled analysts who can work on huge volumes of transactional data. It is because the recent advances in technology have made the collection, storage and processing of data more manageable than ever before.

Heightened awareness about the importance of data and analytics solutions in today’s dynamic business landscape is also fuelling this need for qualified professionals who can help make sense of all that data.

We expect big changes in the coming years as a more significant percentage of decision-making becomes data-driven, allowing for more sophisticated and personalised approaches.

 

Salary of Data Analyst in India as per Payscale

An entry-level Data Analyst with less than a year of experience has an average total compensation (includes tips, bonus, and overtime pay) of ₹342,291.

Data analysts in their first to the fourth year earn an average total compensation of ₹426,402.

On average, a Data Analyst with 5-9 years of experience earns ₹696,043 annually.

The average total compensation of an experienced Data Analyst with 10-19 years of experience is ₹934,951 based on 163 salaries.

Employees in their late-career, 20 years and over, earn an average total compensation of ₹1,750,000.(Source)

 

Conclusion

The data analyst profession is quickly gaining recognition in India. Responsibilities are becoming more defined as the world becomes more dependent on technology and its implications on human life.

A data analyst job can be pretty overwhelming, especially when combined with an advanced skill set – not all who claim to be adept at data analysis are qualified for the job.

A true professional in this field is well versed in several disciplines, including mathematics, programming languages and statistics. According to career guru Nikhil Pahwa, a data analyst is “someone who can take business questions (requirements) and devise technical solutions along with suitable algorithms and visualisations to answer business questions.”

The need for data analysts like you is increasing with the ever-increasing dependence on digital information. 

We can conclude that job opportunities for Data Analysts in India are increasing due to the requirement for data analysis and Big Data expertise.

The salary for the Data Analyst is quite good in India if you compare it with other countries. So, increased job opportunities lead to higher pay and career development. Hence, the future scope of data analysts in India is promising.

 

Reference:

https://www.investopedia.com/articles/professionals/121515/data-analyst-career-path-qualifications.asp