Data Analyst Jobs Are (Not) Dead
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"Data analyst jobs are dead” - I’m sure you’ve seen or heard that by now.
But here is the truth: it is not true. And I can prove it.
So if it’s not true, why are people saying it?
Well first, you gotta figure out WHO is saying it.
Who Is Actually Making Up These Lies?
Group 1: YouTubers. (Yes, including me. I'll be honest.)
Recently, I ran a sneaky A/B test on my YouTube channel. I made two thumbnails for the exact same video.
The negative thumbnail got twice as many clicks.
That is why creators keep saying data jobs are dead. Not because it’s true, but because fear gets clicks.
Myself included. But I hope that if you actually WATCH or READ my content, you’ll know that I’m not negative about data jobs - I’m very optimistic. If I have to be negative in a thumbnail to spread my message of optimism, I will do it.
Group 2: Job seekers who can't land a role
People who have applied to 200 jobs and heard nothing, it can feel like there are no jobs. That makes sense - it’s frustrating. But there’s a lot going on right now…
Ghost jobs, scam postings, and ATS systems eating your resume make the market feel impossible. The market feeling hard is not the same thing as the market being dead.
Group 3: AI Superfans
These are the people who think AGI is coming next Tuesday and robots will take everything. They're fitting the world into a story they already believe.
None of these groups are lying on purpose. But none of them are showing you actual data either.
So let me.
Let's Look At The Real Data
I think data jobs are going to THRIVE over the next few years.
But I’m biased in a lot of ways.
So don’t take my word for it…let’s look at what the experts are saying.
Bloomberg looked at 180 million job postings from 2023 to 2025.
What they found was that data jobs are still doing well, even with AI tools growing fast.
Sure, AI can write a SQL query now. But AI cannot:
You still need a human for all of that. That human is you.
The Bureau of Labor Statistics (the most trusted employment tracker in the US) predicts data scientist roles will grow 34% over the next 10 years. The average job in America? Growing at 3%.
Data is the 4th fastest-growing career path in their entire report.
And here is the interesting part: AI is one reason why.
AI runs on data. More AI means more data. More data means companies need more people to clean it, structure it, and make sense of it.
Live Data Technologies tracked the data analyst workforce using their own tracking software. Data analyst jobs have grown about 12% since 2021.
Has growth slowed a little in the last two years? Yes.
But that's largely because companies over-hired during COVID in 2020 and 2021. Jobs did not disappear. The market just settled down after a big spike.
The World Economic Forum also looked at which jobs are likely to grow over the next 5 years, even with AI changing the market.
Big data specialists, AI and machine learning specialists, and data warehousing specialists all made the top 10.
And where do most of those people start? As data analysts.
AI is not killing data jobs. It's creating more data, which creates more demand for people who can make sense of it.
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This Question Is Not Even New
Here's the part that might blow your mind.
People have been predicting the death of data jobs for over a decade. And they have been wrong every single time.
Every single prediction was wrong. Every. Single. Time.
My guess is they will continue to be wrong.
So What Should You Actually Do?
I recently heard a senior lawyer say something smart about AI taking over law knowledge. He said:
"I'm not panicking, but I'm paying very close attention."
That is my exact advice to you.
Do not panic. Do not give up. Data jobs are not going away.
But you do need to pay attention. Here is what that looks like:
The future is not data analyst or an autonomous AI Agent. It is a data analyst who knows how to use AI to do better work.
If you want to be this type of analyst, I’m here to help.
A lot of what we help people do inside The Accelerator is build the kind of skill set that still holds up as the market changes: strong data basics, clear thinking, and smart use of AI.
👔 DATA JOBS OF THE WEEK
Data Analyst (City of San Antonio) Link: https://www.findadatajob.com/jobs/data-analyst-a1ef75cf
Program Business Analyst (ICF) Link: https://www.findadatajob.com/jobs/program-business-analyst-maine-remote-8b8f94d2
Business Analyst, Power and Energy Storage (TC Energy) Link: https://www.findadatajob.com/jobs/business-analyst-power-and-energy-storage-36842f7d
Brand Marketing Analyst (REVOLVE) Link: https://www.findadatajob.com/jobs/brand-marketing-analyst-e90ed483
Sr Data Analyst (Karoo Health) Link: https://www.findadatajob.com/jobs/sr-data-analyst-bfb5b0c1
Find more roles here: https://www.findadatajob.com/
📺 LATEST EPISODE
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✈️ Wrapping Up 90 Days in Spain
Avery here. Writing this on my 2nd to last day in Spain.
What an incredible 90 days I’ve had. Learned a ton. Had a blast.
Some of the cool things I got to do:
Of course, it wasn’t all sunshine & rainbows:
It was amazing, beautiful, and difficult - all at the same time.
I am so lucky for this chance & so glad we made it happen.
When I get back, here’s some things you can expect from me:
Every time tooling abstracts one layer, demand for people who understand what’s underneath goes up, not down I think. So what changes is the job title and the interview questions, not the underlying need.
A 2013 SQL analyst and a 2026 data professional might share a job board category but almost nothing else in their daily stack. The prediction that was wrong was that the skills ceiling kept rising, which is its own kind of pressure.
AI is worse at thinking than most people think.
The job market can be tough and frustrating sometimes, but as job seekers, the only thing in our control is continuously learning, improving, and mastering the AI tools that matter today.
The surface shifts (big data → ML → AI) but the underlying need to interpret and act on information doesn't.