97,000 Analytics and Data Science positions are vacant in India due to lack of skills

97,000 Analytics and Data Science positions are vacant in India due to lack of skills

Why the majority of Indian students are not focusing on skills and focusing on results? Due to this reason, today around 97,000 positions related to analytics and data science that are currently vacant due to a lack of qualified talent, according to a study conducted by Great Learning, an online ed-tech company for working professionals. A large amount of these job openings are for junior level roles. The number of unfilled positions has seen a massive increase of 45% over last year indicating the broad talent gap in the industry.

This year, companies are boosting entry-level hiring in an offer to create a talent pipeline, keeping with the long-term vision of building deep specialize in the space. Around 70% of job openings this year are for people with less than 5 years of experience, an increase of 8% over last year. Opportunities for freshers have also increased with openings for them accounting for 21% of analytics jobs, compared to 17% last year. 31% of the job openings in the quarter this year are for professionals with over 5 years of experience.

Co-founder of Great Learning, Hari Krishnan Nair said, “A 45% increase in the supply gap in just one year indicates the pace at which businesses are adopting analytics and data-based decision making. In the last few years, many large players have been forced to acquire talent to keep the wind in their sails. At the same time, for those looking to enter the sector, an excess of jobs is a great opportunity. The need of the hour is for professionals to rebuild themselves and get job ready.”

Rising demand for analytics and data science

Accounting for 24% of total analytics jobs, Bengaluru continues to be the hub of analytics professionals. Financial centers like Mumbai, Delhi, and Chennai have increased their share of analytics jobs this year with Delhi/ NCR contributing 22% of analytics jobs in India, Mumbai contributing 15% and Chennai 7%.

According to the research, the median salary being offered for analytics jobs in India is INR 11.5 lakhs/annum. There has been an increase in the number of analytics jobs and data science jobs offering more than INR 15 lakhs/annum. 23% of all advertised jobs last year were offering more than INR 15 Lakhs as opposed to 20% a year ago.

While the banking, financial services and insurance (BFSI) and Energy sector continues to be the major job drivers for the analytics industry, e-commerce, pharma, and retail sectors have posted strong growth in demand for analytics professionals this year.  38% of all jobs posted are from the banking sector. Retail has more than doubled its share of jobs to 7% from 2% last year. E-commerce, pharma, and automobiles have contributed 12%, 13% and 6% of the jobs respectively. Telecom, on the other hand, has seen the biggest fall in demand with just 4% of job postings as opposed to 8% last year.

Major part: Skills in demand

The top 10 leading organizations which have posted the highest number of job openings this year are Amazon, KPMG, Honeywell, Wells Fargo, Accenture, E&Y, Dell International, eClerx Services and Deloitte. Full-time positions remarkably outweigh part-time and judicial openings in the country, indicating the continuing importance of Data science professionals for organizations. The top selection advertised are: Analytics Manager, Business Analyst, Research Analyst, Data Analyst, SAS Analyst, Analytics Consultant, Statistical Analyst, Hadoop Developer.

According to the research, demand for Python is the highest amongst all the recruiters with almost 17% job postings, closely followed by Java with 16% job openings. R comes third in the most critical skills list, with 10% of all analytics jobs requiring this skillset. Tableau, AWS, Azure, Hadoop, SQL and segmentation continue to be the other skills in demand. The report highlights the multidisciplinary nature of jobs in the sector and stresses that a professional programmer or a data analyst should have the capability to learn new coding languages to stay relevant.

All the people should learn a lesson after reading this article that Never depends on your results/degrees, improve your skills and it will automatically improve your career/future.

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