Introduction
Let me start with laying out a recent experience:
I was in middle of a large audience up-skilling themselves in analytics. Average experience in room was more than 5 years and people came from diverse background. My first question to the group:
Kunal – “How many of you are looking for a transition in Analytics / Data Science?“
As expected, a large percentage of the group raised their hands. It felt good that people are increasingly becoming aware about importance of analytics.
The group has invested close to INR 4,00,000 (~$6,000) as part of the program they were undergoing. Given the maturity of the audience and the investment they had made, I was hoping that people would have done some real ground work before making the investment. So I asked:
Kunal – “How many jobs are there in India for people with advanced analytics / predictive modeling skills?“
To my surprise – there was no informed answer in the entire group! I thought may be I need to ask the question in a different manner – so I rephrased it
Kunal – “Given that you all have made huge investment in upskilling yourself, you would have done some research about expected increase in your salary after this course. So, how much increase do you expect after you have undergone the course.“
Surprisingly and sadly – no informed answer again. There were expectations – but little research. Even more surprisingly, this was not a one off occurrence – this happens with most of the people I have been interacting in past few years.
It was scenarios like these, which made us think what is the best best way to bring knowledge about Indian Analytics Industry to everyone. I am excited to announce launch of Analytics Industry Report 2017 – Trends and Salaries in India .
Analytics Industry Report 2017 – Trends and Salaries in India
I am pleased to announce the industry report 2017 for our followers and analytics industry in India. This is the most extensive effort I know of in Indian analytics industry. We, along with Jigsaw Academy have used all our experience / intelligence and perspective to come up with this report. The aim is to provide the ground realities to people about what is happening in industry.
So, if you had questions like:
- What salary should I expect, given my skillset?
- What are the skills I should learn to have the highest impact on my career?
- Which location has the most number of opportunities?
This Industry report should help you answer these questions. We had launched a Analytics and Big Data Salary Report 2016 last year. This year, we decided that we will provide the best of insights and trends to make this a complete industry report. Hope you enjoy it.
Click Here to go to Download Reports
Key Insights in the report
- Machine learning is the best paying skill beating Big Data to the top spot. However, a combination of Big Data and Machine Learning skills, ensures being recruited with a sizeable pay package. We expect this trend to strengthen further in the coming years. So, you should start investing time and resources in upskilling yourself in machine learning. Check out our learning path and hackathons to test and learn machine learning.
- Open source tools dominate the analytics landscape, with Python and R commanding more pay than SAS now. The combination of Python+R pays higher than the combination of SAS+R and SAS+Python. Again, this trend is going to further strengthen in future. Companies like Google are open sourcing tools like TensorFlow and they will go on to define the new landscape. Check out our learning paths on R and Python here.
- The increase in your salary depends on your current experience, education background and the location of the job. IT professionals can increase their salaries by upto a third through analytics upskilling.
- Mumbai continues to be the paymaster followed by Bengaluru and Delhi NCR respectively.
A few trends from the report
Most in demand tools in industry
Average Salary by tools
Average Salary by location – Indian cities
Salary by cities and experience
[get_download_report_form fn=”Analytics-Industry-Report-2017-JA-AV.pdf”]
Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.
