Short answer, yes. It's a good start but not the entire picture.
The big data analysts I've worked with almost all use R, SPSS, SAS, or Matlab. R seems to be increasingly popular. You'll need some programming skills such as Ruby or C++. If you don't know about MapReduce, take the time to investigate.
You also need to have a handle on both Relational Databases and NoSQL Databases.
I found myself having to start back at Statistics 101 and moving up from there. I am currently working with some SSAS building OLAP cubes etc. Excel has some plug-ins that allow Naive Bayes analysis along with category timing lining. I think I might be late to the part, but even understanding this at a data analyst level has help. ***Def not a Data Scientist.
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