Demand for Data Analysts is strong because of today's big data coming from many sources (social media, internet of things devices, industrial internet) and with different forms (text, audio, video, multimedia, hashtag etc.). On top of the scale of data (volume), data accumulates at high speed (velocity), diversity and veracity; hence there need to invest time to understand big data to derive value from it. How do we create value from these tonnes and tonnes of data? Data analytics involves analysing huge volumes of data to create insights that businesses can act on in their decision-making process.
Job Outlook Data Science is a global horizontal market, applicable to different businesses, hence employment projection will continue to grow. As potential uses of data grow, so as the volume. This leads to increase in data-driven decisions; resulting in organisations likely requiring more data analysts to mine and analyse the large amounts data collected. Data analytics help organisations make informed decisions in business processes, design and developing new products, and better product marketing.
Job Description and Responsibilities
Data Analytic roles range from:
· Senior Data Analyst
· Lead Analyst
· Associate Data Analyst
· Data Analyst
· Principal Analyst
The different disciplines related to data analytics are:
· Data Science
· Business Analytics
· Data Engineering
· Business Intelligence Analytics
Future Employment Prospects and Earning Potentials
The demand for data analysts is expected to grow much faster than average through the years, as Internet of Things (IoT) devices continue to increase and are expected to be one of the fastest growing industries overall. With the rise in complex technology and sophisticated computer systems, there will not be a shortage of attractive Data Analytics careers across almost every industry.