I think working with your raw data is usually a good idea, but I think getting the most out of your data may require a non-trivial time commitment.
That said, there are some things that don't require coding experience. For example, here are some links from this blog post:
If you are OK with making your data publicly available, you can also generate a GET-Evidence report from the Personal Genome Project (and you can see my data as an example here).
I am currently looking into impute.me. My preliminary guess from MySeq and the 23andMe diabetes report is that the PRS percentiles may be helpful for critically assessing your data, but may not actually be the most helpful (although I am sure there must be some exceptions). I think they also provide some other things - however, even with the $5 donation, I don't have results for what I submitted yesterday.
I also think DNA.land is making some changes, but I believe most of the other links that I have provided have free options.
In general, I would recommend against options that I have seen to re-analyze your data for a charge:
There might also be exceptions that I don't know about. However, learning about your data in greater detail with free options (learning more coding and biology) is what I think is really the best (all other things being equal).