Data Analysts provide business solutions to organisations by applying statistical/mathematical rigour to large data. In industry parlance they are on the ‘Predictive Analytics’ part of the Analytics cycle providing inputs such as ‘What will happen next’, ‘What’s the best that can happen’, and ‘How best should it be done’.
A Data Analyst needs to fundamentally combine the skill sets of Maths, IT and Business knowledge. While good capabilities in Maths/Statistics is the necessary prerequisite to make a Data Analyst, a broad understanding of Business environment with some proficiency in IT are the sufficient prerequisites. Specific academic backgrounds are not prerequisites but a comfortable Quant orientation is desirable to be a Data Analyst.
Initial job roles would be part of an analytics team working as Statistical Analyst, Data Miner, Forecaster, Market Researcher, Operations Researcher and similar profiles. With career development, Data Analysts may focus towards specific domains such as Customer Intelligence, Risk Intelligence, and Supply Chain Intelligence. With further career progression they look to industry specialisations within the domains they gain expertise on such as Banking, Telecom, Insurance, Retail, etc. This is an exciting, very high potential career with good remuneration and a large gap between demand and supply catering both to the outsourced work in India and to growing use of analytics in domestic industry.
The Certificate Program in SAS Analytics leads to SAS Global certification as SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling.
This intensive program includes SAS modules in Programming, Stats and the required Predictive Modeling application and includes two SAS Global Certifications. This program also incorporates extensive training on Statistics and Analytics theory enabling the participant to go through the globally appreciated SAS Analytics curriculum/certification.