|(Read SAS Career Options)|
Simplify data preparation. Interact with your data quickly and intuitively using dynamic charts and graphs to understand key relationships.
Quickly and easily create better models. Take the guesswork out of building models that are both stable and accurate using proven techniques and a drag-and-drop interface that's both easy-to-use and powerful.
Put your best models into service. Fast. Spend less time and effort scoring new data using automated, interactive processes that work in both batch and real-time environments.
The requirement is varies from company to company. I am giving here basic skills needed for SAS data analyst:
- Experience in SAS or R analytics
- Scripting languages of Python/Java Script/VB Script
- SQL and PL/SQL
- Databases knowledge in Oracle, DB2, SQL Server
- Hadoop and Big data KNowledge