Thanks for the great statistical charts and insights. There are few good information available in regards with using of "Data" in Europe, and in special with directions like "modern data stack", and cloud data technologies, and I feel we should do more in this direction. This is a good example.
Thanks Mikkel for the nice statistics based research on Data people. Why companies are not offering entry level opportunities? I attached with data science field about 2 years and I have done many data analysis projects by using various Python libraries and put them into my GitHub profile and applying a lot on the data analyst position but still there is very less response.
Could you suggest something or which area I have to focus in the Data science field more?
Nice analysis! Any reason you excluded bigger players like Adyen, Spotify or Booking? (Size, publicly traded?). Would love to see those there as well.
Thanks for the great statistical charts and insights. There are few good information available in regards with using of "Data" in Europe, and in special with directions like "modern data stack", and cloud data technologies, and I feel we should do more in this direction. This is a good example.
I'm curious, how did you get the numbers? manually searching for the keywords in your footnote for each company? Or is there a more scalable way?
Super interesting read. How did you make the charts?
Fascinating. Can you clarify exactly how you defined 'data teams' and engineers? In particular, where do Data Engineers fit?
Thanks Mikkel for the nice statistics based research on Data people. Why companies are not offering entry level opportunities? I attached with data science field about 2 years and I have done many data analysis projects by using various Python libraries and put them into my GitHub profile and applying a lot on the data analyst position but still there is very less response.
Could you suggest something or which area I have to focus in the Data science field more?