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tristanjones t1_jb9wdqe wrote

Companies are definitely tightening the belt strap as they expect the economy to slow down, and at the least as money becomes more expensive so they need to manage their debts and investments better. Lots of analytics work is sadly not considered as fundamental to core operations and so often a place that feels this pain more.

In the latest reorg I had the option of moving to a fancy new AI/ML team or a very boring data tagging and implementation team. I took the latter knowing full well it was seen as a critical requirement, where the AI/ML analytics insights team is more of a 'Nice to Have'. I'm pretty confident that there will be a new series of layoffs at my company end of spring early summer, and I would not be surprised if I survive them entirely based on what team I chose.

That being said, it can also get harder as you advance in your career, there are less and less overall positions as you move up to more senior roles. The industry is still fairly young all things considered but we do have a much larger generation of experienced individuals in the field than we did even just 5-10 years ago.

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eatstoothpicks OP t1_jbad0p7 wrote

I agree on most points. AI and ML are definitely considered "nice to have". The funny thing is if a company has a reasonably good core analytics implementation, they're more able to see problems coming and adjust for things in advance. Sadly, most companies don't have good core analytics and so aren't well-armed against the ridiculousness of modern life.

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tristanjones t1_jbavzgo wrote

I definitely wish companies did a better job of prioritizing and investing in their ability to Learn using analytics but the few companies that have made a point to do that are the same ones doing layoffs right now. Sooo..

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eatstoothpicks OP t1_jbb70ay wrote

I've worked for two major analytics software companies and I can for sure say they don't drink their own Kool-Aid when it comes to have a sound Analytics practice. I have also found most analytics professionals (and those leading them) a bit short-sighted and very siloed in their own data. I wish companies in general did a better job of understanding just what and how much they can see with a good Analytics practice. Unfortunately I usually see a bunch of office politics playing havoc with what and how the data should be presented with very little regard to what actually is.

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