Again, I'm not in STR/OT, but maybe things aren't too different (I'm more into Marketing Strategy/Quantitative Marketing).
A few things from my experience:
1 - If you don't know about econometrics at all, there is a good chance you will not even get accepted into a PhD program where that's important. I was asked about this kind of thing you are talking here when I was interviewed.
2 - The econometrics courses I took during the PhD were damn hard. One of the PhD students had even to leave the program because of low grades in those courses. So, I think the more you know before you start a PhD and gets completely overwhelmed, the better.
3 - The main language to use here depends on the advisor. Advisors can provide much more support when you use the language they know a lot about. Even so, I have sometimes to switch between language, because some language is better to deal with the problem I need to solve for my research. For my research, I have used SAS, R, and STATA so far. I also had to use SPSS and MATLAB for some courses. So, you may be forced to learn a lot about programming when you have absolutely no time for that during your PhD.