The Recession of 2008 has badly affected the IT sector. Unexpectedly, it carved the employees for further growth, as there emerged some new advanced technologies to cope with the declining market growth. Nowadays the trend of automation, AI, IoT, Big Data, Data Science and much more is evolving in the IT industry. These technologies have replaced routine jobs with machines which were performed by humans.
With the vast technologies across various sectors, the call for big data analytics and data science has gained momentum. Today’s increasing stack of data in the fields like Artificial Intelligence (AI), Machine Learning, IoT, and data science has made analytics the most desirable profession in India. Companies are constantly after the highly skilled professionals to fill the gap. A recent study made by Online Analytics Training Institute Edvancer stated that India has approximately 50,000 vacancies for data analytics jobs, which are expected to jump to 80,000 to 1,00,000 by the year 2018.
According to the Analytics & Data Science India Magazine and Edvancer, one of the top online analytics training institutes in India, the number of data analytics jobs in India has increased by almost 100% in the past one year from April 2016 to April 2017. This hike is found to be nearly twice as compared to that in the previous years (2015 and 2016). This unexpected hike is recorded in the field of analytics and data science.
Bhasker Gupta, CEO, and Founder, Analytics India Magazine, has remarked-
“The use of technology has been soaring high in various industries, and so is the use of analytics to generate an actionable insight from the huge amount of data. This has led to an increased demand for skilled analytics professionals in India.”
According to studies, Bengaluru has around 25% of these jobs. It was found to be less than the previous year which showed around 27% of analytics jobs in India. Then comes Delhi, contributing to around 22% of analytics jobs. This contribution was also found to be slightly less than a year ago. Mumbai and Pune have witnessed an increased number of analytics jobs from 5% to 7% in 2017.
Currently, India is offering 12% of analytics and data science jobs all over the world, making it the largest Data Analytics center in the world (excluding the US). Leading organizations like Amazon, Citi, HCL, Goldman Sachs, IBM, JP Morgan Chase, Accenture, KPMG, EY, and Capgemini were found to have the most number of analytics and data science job openings this year.
According to a study of Edvancer and AIM, the banking and financial domain is the biggest analytics jobs contributor in India. E-commerce, Pharma, Retail, Automobile have come down than the previous year, while Media and Entertainment, Telecom have jumped in 2017 than in previous year.
A recent study made by the institute stated that 50% of analytics jobs are open for 2-7 years of experienced candidates. The Data Analytics career in India for freshers is growing rapidly. According to Data Analytics research, 18% of the analytics jobs are currently widespread. So, analytics is a booming field for the freshers who are waiting for an exciting opportunity in the IT sector. Around 42% of analytics job vacancies are for BE/B.Tech graduates, while for 40% of the jobs, companies are looking for MBA, Mtech, etc.
As per the study, the average salary in analytics and data science jobs in India is 10.5 lakhs INR per annum. Around 28% of all analytics jobs offer a salary ranging from Rs. 6 lakh to 10 lakhs, making analytics one of the highest-paying fields in India and approximately 24% of the analytics jobs offers the salary between Rs 3 lakh to 6 lakh.
The Analytics and Data Science India jobs study tips that R and Python professionals are most in demand by 36% of the analytics companies, whereas 30% analytics jobs are for the Python professionals. Some of the other booming technologies in companies are- Hadoop, SAS, Spark Tableau and QlikView.
The overall study presents the productive snapshot of analytics and data science jobs in India in the year 2017. It is constructive enough for professionals or freshers who are seeking jobs in Data Analytics industries.
Lindy Quick
Blog Author
Lindy Quick, SPCT, is a dynamic Transformation Architect and Senior Business Agility Consultant with a proven track record of success in driving agile transformations. With expertise in multiple agile frameworks, including SAFe, Scrum, and Kanban, Lindy has led impactful transformations across diverse industries such as manufacturing, defense, insurance/financial, and federal government. Lindy's exceptional communication, leadership, and problem-solving skills have earned her a reputation as a trusted advisor. Currently associated with KnowledgeHut and upGrad, Lindy fosters Lean-Agile principles and mindset through coaching, training, and successful execution of transformations. With a passion for effective value delivery, Lindy is a sought-after expert in the field.
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