Find out the different job roles in Big Data Analytics

The rapid increase in the number of internet users around the world has elevated the importance of big data in the organizational structure. It is not a buzzword anymore, but a highly important source of success in the coming years. According to Forbes, big data has become a movement that is driving organizational decisions like never before. The vast amount of data produced and used to drive insights in real-time is changing the scenario or industrial operations.

An IDC forecast suggests that by the end of this year the valuation of big data is likely to cross over 150.8 billion dollars. Moreover, the growth will continue with a CAGR of 11.5 per cent reaching 210 billion dollars by 2020. The growth of enterprise from now onwards will be determined by how effectively they harness the potential that big data has to offer, which will be mainly dependent on the availability of skilled resources in these enterprises. So, if you wish to be a part of this growing market, you can improve your data analytics skill by taking a SAS course in Delhi. You can choose training centers like PST analytics and find yourself amongst the company of the data analytics industry’s best. 

Big Data Jobs in the Coming Years

According to Forbes, industries are rushing to hire people who have good analytical skills to drive insights from big data. The top amongst them are technical services, IT, manufacturing, retail and finance industry. 

 

The requirement of analysts in these industries differ from each other. However, the overall growth is soaring through the roof. The increase in requirement of big data professionals like: 

Jobs in Big Data Analytics and their Roles

Chief Data Officer


A chief data officer (CDO) is responsible for driving the data analytics department’s vision, strategies and their proper execution. They ensure proper functioning of the department including enabling sustainable growth and profitability of the businesses. Moreover, the CDO provides oversights to support implementations through the Enterprise Information Management (EIM) program and coordinates with the CIO/CTO. 

Skills Required – A CDO must be highly skilled in designing, developing and validating all predictive, descriptive, prescriptive and applied analytics. The candidate should be proficient in using data tools and technologies like SQL, Hadoop, PostgreSQL, Teradata, Redshift and programming languages like SAS, Python and R. 

Salary: On an average, a CDO’s pay scale ranges more than 18 lakhs annually. 

MIS Reporting Executive

Business managers rely highly on Management Information System reports to check progress, make real-time decisions to identify and solve problems. The executives provide managers with reports that collate the information of business such as revenue of sales, product inventories and customer service calls which are forwarded to the stakeholders. 

Skills Required: The MIS reporting executive must have a degree in either Computer Science Engineering, information systems or financial analysis. They must also have good skills in MS Office, PIVOT, Hlookup, Data Programs, Countif and VLookup.

Salary: The average base salary of MIS executive is roughly around 6.2 lakhs annually. 

Business Analyst

Many of us think that this job is similar to that of data analyst, but it's not. Business analysts are experts in the domain they work. They provide solutions to business managers based on technology and data analysis to enhance distribution and productivity. Enterprises need these analysts for various things like gap analysis, knowledge transfer to developers, test preparation, software documentation among others. 

Skills Required: Business analysts must have a degree in business administration. They should also have a good knowledge of data visualization tools like Tableau and requisite IT domains, which includes programming and database management. 

Salary: Average Salary of the business analyst is up to 8.62 lakhs annually. 

Data Architect

Data architects are the people who design, build and manage the big data infrastructure. They ensure that the enterprise’s big data ecosystem runs without any glitches for data scientists to carry out the analysis. 

Skills Required: Data architects should be computer engineers with knowledge of Hadoop, MySQL, Pig, SQL, MapReduce, Data Streaming, and programming. They must also be proficient in SAS, C++, Java, Python, R and Matlab. 

Salary: Average salary of data architect is up to 10.4 lakhs dollars annually. 

Big Data Engineer

The role of data engineer is to build what data architect designs. They configure, use and program solutions for big data which can be used in business. The engineers use various open source tools to build highly scalable distributed systems. 

Skills Required: The big data engineers should know the basics of data structures, algorithms, distributed computing, Hadoop cluster management, stream process solutions like Spark and Storm. They should also know how to use big data tools like Impala, Hive, Pig, NoSQL databases, Frameworks like Flume and ETL tools and big data toolkits. 

Salary: Average salary of data engineer is up to 7.5 lakhs annually. 

The requirements of skilled resources who can utilize big data to its best are increasing rapidly. Enterprises are willing to pay premium salaries to professionals who can help them derive insights by analyzing big data. So, if you are looking to enter the world of data analytics, improve the one skill that is wanted in every analytics job – good knowledge of SAS. You can learn this skill by taking a SAS course in Delhi and learn everything to become an expert in SAS.

 

Source: Webindia