The problem is that in many fields there is a weird dichotomy between people who know how to get data and people who know what to do with it. This is not a sustainable situation. Proper experimental design requires knowledge of how the data will be analyzed.
My proposed solution is to require that the leaders of research groups have expert knowledge of both experimental procedures and data analysis, because that is the expertise required to pick an appropriate hypothesis and supervise the corresponding scientific project from start to finish. Because students 1) work in a lab with diverse knowledge and 2) desire to become professors themselves, they are likely to acquire these skills as well. Aspiring professors who have substantially greater aptitude for either data collection or data analysis should form a joint lab with a researcher with the complementary skill set so that their students can learn both fields.