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Analytics India Salary Study 2014

Analytics India Salary Study 2014


In 2013 we saw a significant rise in Data Analytics and Big Data initiatives across all sectors in India. Finance, telecom, ecommerce and retail sectors showed higher investments in data related tools and technologies. Industries like healthcare, auto and manufacturing also increased their data related spend. Hiring picked up considerably but the demand supply lag was still considerable considering the sheer lack of availability of trained analytics professionals.

Some important figures are as follows:

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Other key facts for 2013:

  • Though SAS remained a popular tool, trends show that R has been increasing its share of the market. Several analytics companies use both SAS and R, depending on project and client preferences.
  • Big Data tools Hadoop and Map Reduce were industry favourites. Companies are investing in building this capability, but are not using it effectively yet.
  • Hadoop skills were in demand coupled with SAS and R.
  • Web analytics, text analytics and social media analytics began to gain popularity.


The first comparison is across various analytics roles and experience levels. This parameter was chosen to essentially show how salaries grow as you evolve in your analytics roles and as you gain added years of experience. As with any career, you would expect to get an increase in remuneration every time you got a promotion or with every added year of experience. However things are a lot perkier as a data analyst and trends show that salary increments are higher than the average 10%.

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  • Average entry level salaries have increased 27% since 2013, from Rs. 520 thousand to Rs 660 thousand per annum.
  • Typically, there is a 250% increase in salary from entry level analyst to manager.
  • Managers in analytics command an annual salary upward of Rs 1500 thousand.
  • At senior levels, annual salaries are upward of Rs. 2500 thousand which is more than a 60% increase from a managers salary.


Bangalore and Delhi/ NCR are the Hubs for Analytics Companies in India

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  • Mumbai has traditionally offered the highest salaries because of its high cost of living and the trend continues.
  • Bangalore and Delhi/ NCR are the hubs for analytics jobs. They have the highest number of analytics companies and analytics jobs with salaries in the range of Rs 11 hundred thousand.
  • Analytics salaries in Hyderabad and Pune are 20% lower. Companies can bring their salaries down by 15% if they move to a smaller city.
  • The average analytics salary in India is 11.1 hundred thousand.

Analytic Tools

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Hadoop is a Sought after Skill and Analysts who Have Expertise in SAS, R and Hadoop Command the Highest Salaries.

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  • Earlier, companies were using any one tool, SAS being the most common. Consequently those with expertise in SAS commanded the highest salaries. Today R is gaining popularity and companies are increasingly using a combination of SAS and R tools. This means higher salaries for those with SAS and R skills.
  • Hadoop is also gaining momentum and has become a sought after skill.
  • There is almost a 10- 20% premium in salary for those who know SAS, R and Hadoop.


The data analytics industry is fired up. As the year continues we will see a lot more data analytics start ups raise huge sums of money, big corporates will consolidate their data operations and multinationals will set up more data centers in India, many of them joining hands with local partners. The analytics job market will be more potent than it ever was, and there will be unparalleled opportunities for those with analytic skills. Salaries will continue to increase and we will see professionals from other sectors honing their analytics skills and switching careers. The scope of analytics will so permeate India Inc., that 15 years from now, we predict that those professionals with no analytics and big data skills will have no scope for growth. This seems harsh, but that is how dynamic data analytics is and how pivotal data backed decision-making will become.

Download the complete report below-

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