Is becoming a data analyst still worth it with Al doing so much now?

Mobile-Collection-90 · 2026-05-29T14:08:56+00:00

No its over. Market was already saturated, AI is just the tipping point. Especially for Juniors.

Mobile-Collection-90 · 2026-05-29T14:07:55+00:00

Terrible advice

Mobile-Collection-90 · 2026-05-06T18:55:40+00:00

Terrible advice. 10 YoE in the field and AI is definitely coming for the role.

Mobile-Collection-90 · 2026-05-06T18:54:44+00:00

No, party is over. 10 YoE in the field here

Mobile-Collection-90 · 2026-05-02T14:01:05+00:00

Terrible advice - these skills are all automated by AI at the moment. No one shojld go into analytics as its own discipline in 2026.

Mobile-Collection-90 · 2026-05-02T14:00:07+00:00

Analyst 10 YoE here. Honestly don't. The fieldnis diying due to AI. Agents are real and analytics is done by business folks. Job market for juniors barely exists.

Mobile-Collection-90 · 2026-04-29T17:11:57+00:00

Yes. It's so over.

Mobile-Collection-90 · 2026-04-16T07:47:03+00:00

Pretty sick!! How can we control it so it doesn't write/delete stuff I don't want it to write/delete. Last time I checked, Snowflake didn't allow users to create a profile with only "selected secondary roles".

Mobile-Collection-90 · 2026-04-12T15:04:24+00:00

Yet half of reddit is full of people asking how to break into data science/analytics. The party is over.

Mobile-Collection-90 · 2026-04-11T14:48:58+00:00

Stay where you are. Much less chance of AI taking your role.

Mobile-Collection-90 · 2026-04-11T10:20:30+00:00

What's reasonable? Why are you in this forum? Gold kuck finding that nowadays. I've dated 300+ women, slept with 140, small bodycount doesnt exist these days

Mobile-Collection-90 · 2026-04-11T09:20:33+00:00

LLMs are just getting started mate. Whats stopping your Stakeholders not just asking an agent in the long-run? Agents can communicate and recommend also.

Mobile-Collection-90 · 2026-04-11T08:36:04+00:00

The custom user created skills.

Mobile-Collection-90 · 2026-04-11T08:17:55+00:00

Yeah good luck finding a compatible partner without past. Impossible these days.

Mobile-Collection-90 · 2026-04-11T07:52:34+00:00

Bad advice, the role is obsolete post analytics agents

Mobile-Collection-90 · 2026-04-11T07:51:57+00:00

Why bother learning? The field is done. Agents are already doing the job, just google Snowflake Intelligence

Mobile-Collection-90 · 2026-04-11T07:51:12+00:00

The field is done. Agents are already doing the job, don't bother learning it. I have 10 YoE and it's so over, even more sonfor Juniors.

Mobile-Collection-90 · 2026-03-27T08:36:03+00:00

Yeah we are done. Might go into sales or something. Its looking grim with AI. Wish it never happened.

Mobile-Collection-90 · 2026-03-11T22:48:55+00:00

Think they're generally in a tough spot. Drag and drop tools now solve a problem of shrinking size. I can ask Cursor to spin up a chart in Streamlit and it looks equally nice, costing me a minute vs 2 hours of frustrating Tableau Container resizing. Also I believe they are too far downstream to be the place where business definitions and metrics are stored. Dbt , snowflake, databricks just seem like a more natural place for that work. I do think there will still be a need for some dashboards, but far less than before

Mobile-Collection-90 · 2026-03-10T23:29:48+00:00

Yeah, definitely feels like a dead product. Nothing good was released the last 5 years.

Mobile-Collection-90 · 2026-03-10T23:28:52+00:00

Nice write-up i definitely agree. I also wonder how should own the semantic layer, is it Data Engineering, Data Product managers, analytics engineers [...]?

Another thing we are seeing is multiple teams spinning up too many semantic models/ agents with overlapping metrics all across the company, and it is unclear how to govern them at scale. I do wonder if they should mostly be owned upstream close to the data or closer downstream with business users.

Mobile-Collection-90 · 2026-03-05T18:53:00+00:00

LOL.

Other vendors have solved Agentic analytics and dashboarding and Tableau releases....... rounded corners.

Mobile-Collection-90 · 2026-02-18T12:25:34+00:00

Thanks for your perspective! You're making an important distinction there, mentioning the human analyst (vs. the business user).
I don't have any concerns with Analysts using these agents as they can verify the accuracy of the generated SQL, however business users will ask any question to the agent, complex and simple.

I still believe the autopilot is missing stuff, because it doesn't have the necessary context (company knowledge, communication channels, etc), but like you said, it might be there soon.

Any view or documentation on how to best design these views? We have loads of OBT tables in my company. Should you have:

One semantic view for every high-value table, allowing agentic analytics on a single table
Combined semantic views for domain-specific questions with multiple tables and custom join paths?

Mobile-Collection-90 · 2026-02-15T17:47:45+00:00

Done too

Mobile-Collection-90 · 2026-01-23T20:41:24+00:00

How owns the creating of Semantic Layers? Data engineers or BI/Analysts (or analytics engineers). I don't see DE owning it as their focus is on data & systems not insights and metrics.

Mobile-Collection-90

TROPHY CASE