It seems that SPSS is the statistical software of choice in Bhutan not only at MoLHR. Sonam raised a good question: why not use the free open-source software R?
|An ema-inspired ad by SAS|
So the question I would ask is whether IBM's SPSS is the right tool compared to other menu-based software. One bonus point is that everyone is using it here, and that is indeed a big advantage in terms of knowledge, file sharing, etc. An interesting possibility is the free SPSS alternative called PSPP -- worthwhile checking whether that can work as a fee-free replacement (I've never used it).
In terms of commercial, paid statistical software, the market is highly competitive. Another major player is SAS (had they only known to post their ema-ad in Bhutan!). SAS has a range of different tools, from programming-based packages to drag-and-drop and menu-driven tools. However, they are usually quite expensive aside from the JMP product. Econometricians love Stata (expensive but powerful for research). Another, reasonably-priced software is Minitab, which is popular with Six Sigma and quality assurance users.
A final note: statistical analysis can be tricky, especially when done by "running software" blindly. My best advice is to invest most of your time visualizing your data. For that, good visualization software is crucial, and unfortunately statistical software tend to have very weak visualization capabilities. Once you get an understanding of your data by visualizing it, statistical analysis will help determine whether what you see in the charts is random or an actual effect.