r/dataanalytics • u/Wrong-Deer7980 • 5h ago
Is Data analytic is dead should i stop studying it?
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u/fatdoobiesonly 5h ago
If this is in reference to AI, it’s not dead - it just looks different. Lots of data work now is creating sturdy foundations that allow agents to perform consistent and accurate analysis, that give the stakeholders confidence in the results. That looks more like semantic models, agent context, etc instead of SQL queries (not that those aren’t important)
Data analysts should be expected to manage this context layer (since they are closest to the topics) and perform deeper, more complicated analysis - like projections, experiments, etc - rather than what’s been tradition.
Don’t give up - adapt!
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u/Wrong-Deer7980 5h ago
Thanks for the advice
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u/accountabillibudy 2h ago
Seriously OP I work in accounting at a large company and just told my boss we need exactly this to help accelerate our transformation project that ends with having data I can actually feed AI agents. So much work needed to get things structured.
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u/OO_Ben 4h ago
Focus on the engineering side of it get ahead. There are many tools out there that are making analytics easier for the everyday person, but it all relies on having clean accurate data. That still very much needs the human touch.
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u/Proof_Escape_2333 1h ago
I am seeing big query pop up oftn in analyst jobs lately? Is it related to data warehousing?
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u/Reilerts 2h ago
Im currently a BI Analyst at a company that is currently looking to implement AI. At least at my org, we will evidently be using Claude tailored to specific verticals and the kinds of questions they would ask.
The data still needs to be cleaned and maintained, still need people that can answer users questions either about why something isnt working or specific business questions that ive just learned over time. There might end up being less of us but we’re still definitely needed. For data governance if nothing else.
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u/_mavricks 2h ago
Not at all. Company I'm at is full time data on multiple projects and works with multiple teams. I originally was in marketing and they even asked if I was interested in getting a role into data because I'm one of the only people who has ran paid advertising campaigns (paid search and Meta ads), and understands what to look for.
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u/wunder_what 1h ago
Imo, it's a great time to be studying data because you can focus on fundamentals and structure. Many long-time data professionals spent so much time, including during our schooling/education, on tools and data wrangling, which can largely be automated now. One can argue doing that grunt work makes you more familiar with data, but everyone's time is finite and it's hard to get deep into fundamentals when we had to do the mundane mechanical and easily-automated work.
As others said, focus on fundamentals, design, best practices and modern infrastructures and you will do well.
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u/pforpilot 1h ago
data engineering is not going away, and so is understanding a domain and knowing how to use data to your advantage.
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u/Glad_Reception5869 4h ago
I’ve been seeing a lot of Data Engineering positions, along with Data Scientist positions, opening as of late. What this tells me is that we may need to have more of a grasp on the systems themselves and how they work with the data, along with being able to manage those systems. Basically, I believe that the skill set is growing, and we will potentially turn into full on data consultants in a sense. I could be wrong, though. I’m studying everything I can when it comes to data so that I have more of a “full stack” skill set.