After cloud computing, the scope of big data and analytics is huge in India. According to a study, jointly conducted by NASSCOM and CRISIL, Big Data is poised to become a US$ 25 billion industry by 2015.This means that over the next two years companies will be extensively focusing on gathering data and analysing the same. They will also be looking at their workforce pipeline for smooth data implementation at different stages. While the process will be slow in India for some time, a lot of overseas IT services companies will be looking at India for outsourcing data and analytics work.
As a result, companies are taking immediate steps to identify big data talent. There’s a lot of scope for professionals across levels. According to Sridhar Throvagunta, global head – Test Advisory Services, Wipro, there will be exclusive requirements for freshers such as big data developers and big data engineers. These roles will be highly valuable for big data technology implementation, including data collection, integration and designing of big data architecture.
Mid-level professionals will also find roles like big data analysts, data mining experts or big data leads. “Most of the mid-level roles require candidates with 8-10 years of experience,” says Throvagunta.
According to Techgig.com, some of the popular roles in data analytics are big data analytics engineer, backend engineers, staff engineer, senior developer – big data, etc.
Amit Khanna, lead, Data Analytics, KPMG India, identifies some of the other roles across leading industries like IT/Telecom, Retail, Healthcare, etc.
In financial services – decision support people; decision support team who figure out credit risk, customer expansion, lending policies, fraud, etc.
E-commerce: Customer expansion or revenue increase, supply chain or logistics.
Healthcare: A lot is going to happen in terms of drug discovery, patient health, healthcare fraud, R&D – Big Data will help in decision support system in critical care.
Medical practitioners will get help from data scientists to figure out if R&D is happening the right way – example, finding out new molecules or new drugs or which drug to prescribe.
Telecom: Has huge potential in terms of using Big Data – one in terms of network alignment, second while using value added services. Telecom companies already have data architects and decision support team.
In order to identify specific roles, businesses first need to understand the potential of big data and analytics and how this can genuinely work towards business development. According to experts, this will happen only if big data is approached from a business perspective and not from a technology perspective.