The Reality of the World

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I think a lot of people fall into the, not the trap, but like you just mentioned, the normal path is if I love to be an individual contributor and I love to specialize in a very specific area of data. To me growth is to be able to make more money, get promotions, have more responsibility, do harder work. And so it's hard to enjoy that part of the journey sometimes because you feel like you need to progress into something else at times. It's funny, so many, many moons ago when I was still working Canberra, I heard Jillian Trig speak. She said everyone is like in such a rush to progress that they don't spend enough time working

There are only so many hours in a day and only so many days in a year. Logically, then, the best way to grow a career as a data worker is to spend as many hours as possible doing focused data work, right? Well… probably not. In this episode, we dove into generalization versus specialization — what does that even mean, and how should we think about balancing between the two, and how can interests and activities outside of the data work itself actually make us better analysts? Bonus activity: listen for the hosts' overt trolling of Tim to see if they can get him to come off mute in his role as associate producer for the episode. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.