12 Comments

Nice analysis! Any reason you excluded bigger players like Adyen, Spotify or Booking? (Size, publicly traded?). Would love to see those there as well.

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No particular good reason. Tried to mainly take companies within the same company size range. Maybe one for a future post :)

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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.

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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?

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Hey Nick, I used LinkedIn premium. You can search for keywords / companies and see the number of matches you get. I'm sure you can come up with a more scalable way if you put some work into it :)

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I’m doing something similar yep - it’s such a painful process, especially if you want to see change over time! I was hoping you’d show me the magic scalable way 😅

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Super interesting read. How did you make the charts?

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Fascinating. Can you clarify exactly how you defined 'data teams' and engineers? In particular, where do Data Engineers fit?

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Yep - should all be in the footnotes above :)

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Thanks. Presumably Engineer swept up 'Software Developer' and its variants? If you are able to apply this to other industries like mine (investment management) I'd be super-interested. Financial firms are among those most likely to find Data such a big topic that they appoint Chief Data Officers.

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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?

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Hi Adil,

That's a great question and while there’s more demand than ever for data people it can also be incredible difficult to get in when you’re just starting out. I don’t think there’s one right answer but here are some ideas to what you could do

* It sounds like you’ve invested in coding and data science but if you haven’t already, it’s good to invest in fundamentals around SQL and learning how to make good data visualisations

* I’d also recommend getting to know dbt (https://www.getdbt.com/dbt-learn/). It’s a tool a lot of modern companies are starting to use. If you get good at it you may get a heads start

* If you already work at a company in a non-data role, try to see if you can get some data projects. I’ve seen some of the best data analyst come from all kind of backgrounds in the past

Hope that helps :)

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