SAS Developer, Data Scientist, Statistician, Analytics & Modelling Analyst/Consultant/Manager

Data Management, Data Cleansing, Data Preparation, Modeling building, Forecasting, Process Automation

All of above tasks varies based on the domain you are working in. Mainly data analytics can be done in various fields like Marketing Analytics, Customer Analytics, Finance Analytics, Retail Analytics, Product Analytics etc.

Let’s take an example of Marketing Analytics. In Marketing Analytics all the steps pertaining to Marketing need to be taken. There can be segmentation (which includes the identifying the customer segment and make strategies to attract that segment), Sales forecasting which includes the forecasting future sales based on the some statistics methods and those method can be implemented using various Software packages.

There are various software packages available for the analytics. But one of the most used and famous software packages is SAS - Statistical Analytics System/Software. It provides the greater flexibity to the user.

B.A., M.A., M.Com, MBA, B. Tech, B. Sc, M.Sc, C.A. Ph.d

SAS, Python, R, Tableau, SQL Server and Statistics Techniques

2.4 lac p.a. to 50 lac p.a. but it is not limited. It seems quite good when somebody tells us about the salary package of our technology whereas we do not recommend you to look for the salary packages as these are just numbers. We encourage you to learn the best because learning best will take you to the peak of your career where you will find handsome salary package with job satisfaction.

If you are the master of your technology, every organization will be ready to pay you the best.