Big Data Analysts and Data Scientists Recruitment Landscape in India

The demand for data scientists and big data analysis in India is at an all-time high, which is resulting in an upward career arc

Big Data helps companies to make informed decisions, understand their customer desires. This analysis helps companies to achieve rapid growth by analyzing real-time data. It allows companies to defeat their competitors and achieve success. It assesses analytics tools to unlock information, hidden patterns, market trends, and customer preferences that can help organizations to make informed business decisions.

According to Analytics Insight, India's Big Data industry is to form 32% of the worldwide market and US$20 billion by 2026 from the present level of US$6.9 billion.

The demand for data scientists in India is at an all-time high, which is resulting in an upward career arc and generous pay from companies. Around 93,000 jobs in Data Science were vacant at the end of August 2020 in India. 70% of these vacancies were for positions with less than five years of experience. Analysts predict that the country will have more than 11 million job openings by 2026.

Roles & Responsibilities of a Data Scientist and Big Data Analyst

A data analyst or data scientist's role and responsibilities may vary depending on the industry and location where they work. A data analyst's day may involve figuring out how or why something happened—such as why sales dropped or creating dashboards that support KPIs. Data scientists, on the other hand, are more concerned with what will or could happen, using data modeling techniques and big data frameworks such as Spark.

Skills Required to Become a Data Scientist and Big Data Analyst

To become a successful data scientist or big data analyst, an aspirant must have programming skills, quantitative aptitude, computational framework knowledge, data warehousing, communication skills, and hands-on expertise with multiple technologies, along with auditing skills and business acumen.

Data Scientist Salary: Based on Experience

A career in data science is one of the most highly sought-after job opportunities in India. As enterprises look to acquire the best talent pool with knowledge in data, big data salaries in the country are very high. The average data scientist's salary with 1 to 10 years of experience in India is INR11,30,000. It ranges from INR5,70,00 to INR19,30,000.

An entry-level data scientist's salary with experience of 1 to 4 years is INR5,80,000. With growing experience and skills, salaries also rise. A mid-level data scientist's salary with 5 to 9 years of experience is INR10,23,000. With over 10 years of experience, big data experts can earn INR18,40,000.

Data Scientist's Salary: Based on Companies

Companies that play more with data and always look to drive innovation to pay handsome salaries for data-crunching jobs. They often compete to get the best talent pool that can help meet business needs.

Top recruiters

Data scientists are always high in demand. Companies rely on data science to decode vast data from multiple sources and derive meaningful insights from it. Amid cutbacks in the IT business, the earlier year has seen an expansion of analytics and data science employment. McKinsey assesses that India will need approximately 2 lakh data scientists in a coming couple of years. Top recruiters are Google, Amazon, McKinsey & Company, IBM, Ericsson, PwC, Airtel, Reliance Industries, and more offering packages to Big Data professionals. Where the highest salary goes up to 73.1 Lacs and basic starts from 2.7 Lacs. On average, big data professionals make INR20-12 Lacs at top tech companies.