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Everyone says data analyst jobs are gone. Here's the actual evidence that proves them wrong.

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⌚ TIMESTAMPS

00:21 – Who's lying to you

03:32 – 180 million job postings

06:03 – Jobs are actually growing

07:32 – Top jobs of the next 5 years

08:14 – 4th fastest growing career

10:02 – Even software jobs bounced back

11:08 – They said this in 2013 too

14:06 – Don't panic

📚 SOURCES

📊 Bloomberg – I Analyzed 180M Jobs to See What AI Is Actually Replacing (Jan 2023–Oct 2025): https://bloomberry.com/blog/i-analyzed-180m-jobs-to-see-what-jobs-ai-is-actually-replacing-today/#bullet1

📈 Live Data Technologies: https://livedatatechnologies.com

🌍 World Economic Forum – Fastest Growing & Declining Jobs: https://euronews.com/business/2025/02/01/jobs-market-at-a-crossroads-which-are-the-fastest-growing-and-declining-jobs

🏛️ Bureau of Labor Statistics – Data Scientists, 4th Fastest Growing Occupation: https://bls.gov/ooh/math/data-scientists.htm#tab-6

✍️ Is Data Science Dead in 10 Years? (2021): https://medium.com/data-science/is-data-science-dead-in-10-years-3cde3963552

🔮 Gartner – More Than 40% of Data Science Tasks Will Be Automated by 2020 (2017): https://gartner.com/en/newsroom/press-releases/2017-01-16-gartner-says-more-than-40-percent-of-data-science-tasks-will-be-automated-by-2020

💬 Is Data Science Getting Overcrowded? Reddit (2016): https://reddit.com/r/datascience/comments/781wwu/is_data_science_getting_overcrowded/

🤖 Will Data Scientists Be Automated by 2025? (2015): https://kdnuggets.com/2015/05/data-scientists-automated-2025.html

💥 The Bursting of the Big Data Bubble (2013): https://mathbabe.org/2013/09/20/the-bursting-of-the-big-data-bubble/

🔗 CONNECT WITH AVERY

🎥 YouTube Channel

🤝 LinkedIn

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🎵 TikTok

💻 Website

Mentioned in this episode:

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https://datacareerjumpstart.com/daa

Avery Smith-1: There's no

more data analyst jobs left.

2

That's what I keep hearing, especially

on YouTube, but that is a complete lie.

3

In today's episode, I'm gonna show

you why I think there's actually

4

a lot of data analyst jobs left

and why you should not panic.

5

But if you're new here,

my name is Avery Smith.

6

I'm a senior data analyst, and I

make content about how to thrive

7

in your data career, especially

if you're just getting started.

8

The real question is who is

saying that data jobs are dead?

9

Who's saying that there's no

more data analyst jobs left.

10

And really I think it comes

down to, there's three different

11

groups that are sharing this

narrative all over the internet.

12

The first group is YouTubers who are like

me, and they are carrying this narrative

13

around that data analyst jobs are dead.

14

There's a great data analyst crash

that has occurred or is coming,

15

that there's no more data jobs.

16

And I'll be honest, I've even been

complicit in some of my titles and

17

thumbnail choices here on YouTube.

18

So why are YouTubers creating these titles

and these contents, why are they spreading

19

this message around if it is a lie?

20

Well, honestly, it's because

you guys click on those videos.

21

I shared this in a recent

episode, but I actually AB

22

tested two different thumbnails.

23

One that was positive, like there's

lots of data jobs in the future,

24

and one that's negative, that

there's no data jobs in the future.

25

The video content stayed the exact same.

26

The thumbnail stayed the

same, and the negativity won.

27

Everyone wanted to

click on the negativity.

28

It actually won by two times.

29

So basically two times more

of you guys clicked on that

30

video than the positive one.

31

So it just really goes to show, especially

on YouTube, that negativity wins.

32

But we've already known that because

that's why the news is negative.

33

Like we as humans, for some reason,

just love negativity and for YouTubers,

34

Hey, if we can create videos that

you guys love, then we wanna do it.

35

But personally, I want to be honest,

I'd rather be honest than be negative.

36

I'm an optimistic person, so I try to make

my episodes as optimistic as possible.

37

Of course, with keeping it realistic,

I don't wanna just gaslight you guys

38

and tell you that there's lots of

data jobs left if there are none.

39

But I wanna keep it honest and optimistic.

40

Now, sometimes I might use a title or

a thumbnail that might be more negative

41

so I can get more people to click.

42

But I justify that because my message

is honest and uplifting and optimistic,

43

and in order for more people to get

that message of, Hey, there is lots of

44

data jobs, you can actually do this.

45

We might need to lure them in

with some sort of negativity.

46

The second group who is saying there's

no more data jobs left are job seekers.

47

And this actually makes sense because

if you're trying to land a data job

48

right now, it can feel like there's no

data jobs left because you're applying.

49

To hundreds of data jobs probably,

and not getting any calls back,

50

not getting any interviews, and

that can be really frustrating.

51

And so you can be like, oh my

gosh, there's no data jobs left.

52

I can't land the role, I

can't land an interview.

53

This sucks this, you know,

industry, this career isn't for me.

54

But it's important to highlight that

these job seekers, although their

55

experiences are lived and true.

56

It's not really data driven, it's

not really analytical, it's just

57

more of an experience they've lived.

58

There's no actual data or truth behind it.

59

But look, I get it.

60

There's ghost jobs out there.

61

There's fake jobs out there.

62

There's scam jobs out there, and

landing a real job feels impossible.

63

So I totally get if your job secret

and you feel like there's no data jobs

64

left, because that's how it feels.

65

It makes sense.

66

The third group that is

sharing this message across

67

the internet are AI maximalist.

68

And these are people who really believe

in ai, that it's the future, that there's

69

going to be a GI, that robots and, uh,

AI agents are gonna rule the world.

70

And of course they think if they

think that they're gonna think there's

71

no more data jobs, nevertheless,

no more any jobs that these agents

72

will just take all of the jobs.

73

So those are the three groups

that I think are really spreading

74

this message across the internet.

75

And as a bonus fourth group, I would just

say pessimists in in general, people who

76

who see the cup as half empty instead

of half full will think that there's

77

no jobs, that everything's doom and

gloom, that everything's going to end.

78

If you're one of these pessimists or

people who think there is no more data

79

jobs, or that data jobs won't exist in

the future, I hope that I will be able to

80

change your opinion during this episode.

81

What is the evidence?

82

Well, I'm gonna show you six real

pieces of evidence that data jobs aren't

83

dead and they even might be thriving.

84

The first piece of evidence I want to

show you comes from a research study

85

done by Bloomberg where they basically

analyzed 180 million global job postings

86

from January, 2023 to October, 2025.

87

This was all scraped from RA and

they found some really interesting

88

things I wanna share with you.

89

One of their key takeaways

was that data related jobs are

90

holding up despite AI tools.

91

So basically despite what you might

be thinking AI tools can do to replace

92

a data analyst, data scientist, we

don't see that in industry yet, and

93

those roles are actually growing.

94

It basically says that even though

AI tools can write SQL queries or

95

write Python code, that the data

analyst or the person actually using

96

those tools is still very valuable.

97

Despite these AI tools, knowing what

questions to ask still really important.

98

Knowing if you can trust data

or if you could, what data's

99

clean and what data's not clean.

100

Still really important.

101

Knowing how the data and the analysis

that you find ties into the business and

102

being able to convince stakeholders and

non-technical people of your findings

103

still really important and really needs

a human to do all of those things.

104

One of the things it also mentions

is you can kind of use software

105

engineering and software development

jobs as a proxy for data jobs.

106

'cause they're very closely related.

107

They're both very technically focused.

108

They're a little bit different.

109

But you can kind of see some

similarities in software development

110

and data analytics and data scientists

and all those different things.

111

And that's really key because one of

the things that actually found in this

112

study was that software engineering

jobs have stayed really resilient.

113

Of course, we've seen some

decrease in front air engineering

114

and mobile engineering as

that's gotten easier and easier.

115

But other things like machine learning,

engineering, data engineer, backend

116

engineer, data scientists, and

honestly, these aren't really even

117

software engineering jobs almost.

118

These are data jobs.

119

So like software engineering is

doing well if it's data related.

120

And all the things that we're talking

about on this channel is all data related.

121

So basically with ai.

122

AI is just so dependent on data

and we are the best people fit for

123

talking about data, thinking about

data processing data, analyzing data,

124

structuring data, shipping data.

125

That's us.

126

And the best place to start for any data

role is a data analyst, because it's

127

one of the lowest on the totem pool.

128

It can get, obviously very senior as

you go on, but it's like a really good

129

entry point where you could become a

data scientist later down the road.

130

You could become a DevOps

engineer down the road.

131

You could become, you know, a

data engineer down the road.

132

This is like the entry point of

the data world, and this data

133

family, this data role kingdom

that we play in is the number one.

134

Kingdom, the number one job family

for handling ai, maybe other than

135

software developers, but you could

argue that we know a little bit

136

more about data than they do.

137

The second piece of evidence I want

to present to you is from live data

138

Technologies, and they use a special

proprietary software to basically

139

figure out how many different data

analysts are there in the world.

140

How many different lawyers are there in

the world, how many different, you know,

141

real estate agents are there in the world.

142

And we can actually see that

data analytics, data analyst

143

jobs have grown since 2021.

144

Uh, about 12%.

145

Now, has it been stagnant

in the last two years?

146

Uh, maybe.

147

But you have to remember that

148

There was a lot of over hiring

going on, so the fact that it really

149

hasn't gone down is a good sign.

150

I think this year we'll start

to see this grow a little bit

151

more like data engineering.

152

I think data engineering has really

exploded because once again, in

153

order for AI models to be good,

you need good data engineering.

154

In order to have good data engineering,

you need to have good data engineers.

155

And honestly, I don't really

ever see people just starting

156

from zero to data engineer.

157

They always start in some different role.

158

For instance, like a software

engineer or the second most common

159

one I think is a data analyst.

160

You go from data analyst, data engineer.

161

So if you want to ultimately work

in data engineering, a data analyst

162

is a really first good landing place

because it's way easier to become a

163

data analyst than as a data engineer.

164

There's a lot less tech that you

have to know, a lot less programming,

165

and you can start to get paid to

learn data engineering on the job.

166

So once again, no evidence here

that data analyst jobs are dead.

167

The third piece of evidence I wanna

look at actually comes from the World

168

Economic Forum, and they did this

big study to try to figure out what

169

they think the top growing jobs are

going to be in the next five years,

170

even with all this AI disruption.

171

And if you check out this graph that Euro

News made of their data, you'll actually

172

see something that's quite promising.

173

A good chunk of these top

jobs are very data related.

174

Now, of course, you're not gonna see data

analysts necessarily in the top five.

175

You think it's number

eight or number nine.

176

But big data specialists, like

big data specialists start their

177

careers as data analysts, AI and

machine learning specialists.

178

Once again, if you want to become

that, that's gonna take like three

179

years to learn all that stuff.

180

So start small as a data analyst.

181

Data warehousing specialists.

182

That's basically data analysts.

183

Data engineers, data analytics, engineers.

184

And what these bars or these numbers

represent is the percent that they're

185

gonna grow over the next five years or so.

186

So we are seeing a lot of growth in

these jobs over the next five years,

187

according to, you know, one of the most

prestigious organizations in the world.

188

So I don't think they think

that data analyst jobs are dead.

189

My fourth piece of evidence comes

from another really prestigious

190

organization, and that's the Bureau of

Labor Statistics from the United States.

191

This is one of the biggest organizations

actually tracking employment

192

and job statistics over time.

193

And what do they think about data jobs.

194

Now they don't actually specifically

analyze data analyst jobs as a job

195

role or job family, but they do

data scientist jobs and let's see

196

how they do over the next 10 years.

197

The BLS basically predicts that the data

scientist job will grow 34%, and that's

198

actually the fourth fastest growing

job family in their entire report.

199

So honestly, if you want a career that

is growing over the next 10 years,

200

the BLS thinks that this data science

world that you can play in is one of

201

the best places you could possibly be.

202

And you can actually look at

this graph and see how that

203

compares to what they think all

occupations will grow in on average.

204

And that is just 3%.

205

So like literally, this is one

of the best places you could.

206

And not only is it data scientist

jobs, it's like really all data jobs.

207

They said this tied to the increased

use of AI is this massive increase in

208

the volume of data generated, which

is expected to fuel job growth among

209

many mathematical science occupations.

210

Relevant occupations include data

scientists, actuaries, and operations

211

research analysts, all of which are

projected to see job growth of at

212

least 20% between 2024 and 2034.

213

Placing them all in the top 15

fastest growing occupation lists.

214

And I actually created a little bit

of a table for you that shows that

215

computer and info research scientists,

statisticians, market research analysts,

216

and database admins and architects are

all supposed to grow quite a bit more

217

than average over the next 10 years.

218

Once again, this prestigious organization.

219

Not really indicating that

there's no more data jobs.

220

If anything, there's gonna

be a lot more data jobs

221

now in the world and that is X or Twitter.

222

Put your political leanings aside.

223

X is still used as one of the places

to get up to date information and

224

there's been a huge growth in automatic.

225

Coding, basically programming, coding

over the last six months where it's

226

like, oh, software jobs are dead.

227

You know, Claude code, it's so good,

it's gonna replace, you know, my, my

228

software developers and there's gonna

be no more software engineering jobs.

229

I'm sure those videos exist,

uh, on YouTube as well.

230

And we've seen a really weird twist in

the last few weeks where there's actually

231

a lot more software development jobs.

232

They're growing.

233

So software jobs aren't dead.

234

They're growing and if there's one

thing we know about software jobs is

235

they kind of mirror these data roles.

236

There is a little bit difference

between the two, right?

237

Where obviously data people aren't

really creating software and software

238

aren't really analyzing data.

239

But there is a lot of overlap and a

lot of similarities and I think AI will

240

enhance or disrupt them almost equally.

241

Maybe not quite, but we can learn a lot

of lessons from software engineering.

242

'cause I do think they're about one to

two years ahead of the data industry

243

in terms of using and utilizing ai.

244

So in the future we might see a

similar trend where maybe there is a

245

little bit less data jobs, who knows?

246

But then I think it will

bounce back as well.

247

And to be honest, that's every

market, for every history of time,

248

there's gonna be ebbs and flows

on the number of jobs available.

249

No matter if you're a firefighter, no

matter if you're a teacher, no matter

250

if you're a nurse, there's gonna

be ups and there's gonna be data.

251

My sixth piece of evidence is that this

isn't actually a new question, although

252

there's a lot of people saying that

data jobs are dead or questioning if

253

data jobs are gonna die right now in

254

This actually isn't a new question as

almost existed as long as the term data

255

analytics and data science has existed.

256

Let me actually show you a few examples.

257

So in 2021, before chat, GPT even

existed, my good friend Ken G,

258

wrote a medium article asking,

is data science dead in 10 years?

259

That was really before all of

this, you know, LLMs and generative

260

AI had really taken off, and

he was asking that question.

261

We're about exactly halfway through

that mark, and of course, we're

262

still yet to see, but so far

there's still a lot of data jobs.

263

In fact, there hasn't

been really a decrease.

264

As I showed you guys earlier, uh,

there's really just been either a

265

stagnation or a slight increase in 2017.

266

One of the most trusted data

organizations, Gartner, that

267

is like consulting and software

evaluations and stuff like that.

268

They had a headline that says.

269

More than 40% of data science

270

Well, guys, we're six years past 2020.

271

I definitely don't think 40% of data

science tasks have been automated.

272

Now you can say they were just early

on their prediction, or you can

273

say that they're flat out wrong.

274

In the 2010s, there was a lot of

hype on no-code tools in general

275

and things like DataRobot and

Alteryx and all these different like

276

no-code, uh, analytics platforms.

277

And those were gonna take

all of the jobs back then.

278

Well, it's not really true.

279

Those just created more jobs and we still

have lots of data jobs more than ever.

280

Actually in 2016, people were

on subreddits asking, is data

281

science getting overcrowded?

282

People think it's overcrowded

today, people thought it was

283

overcrowded 10 years ago.

284

If they could see today,

they'd have no idea how.

285

Under crowded.

286

It was at the time, who knows, in 2036

we might be saying the exact same thing.

287

Is data science overcrowded?

288

And we didn't know how good, uh,

289

how good it was going to be in 2036.

290

In 20 15, 1 of the biggest data blogs

ever, Katy Nuggets actually ran a

291

poll that asked, will data science

292

And a lot of people thought

it was going to be automated,

293

everything was gonna be gone.

294

And guess what?

295

We've passed that.

296

It's not automated.

297

There's still lots of jobs, there's

lots of opportunities for us.

298

So, you know, even 10 years

ago people were thinking this.

299

And as early as in 2013, a really

popular data author wrote a blog

300

post titled The Bursting of the Big

301

I don't think the big

data bubble has burst yet.

302

It's only grown bigger

and bigger and bigger.

303

So if in 2013 they thought

they were in a bubble.

304

How big is the bubble today?

305

How much bigger is data today

306

thought it was gonna be over.

307

But my advice to you at this

point so far is don't panic.

308

Don't freak out.

309

Don't give up, because it seems like

there's gonna be no data jobs left.

310

There's gonna be data

jobs left, I promise.

311

Personally, I think you should

live by this quote, which actually

312

came out of a Matt Schumer article

that went really viral on X,

313

called Something Big is Happening.

314

It's kind of an AI doomsday type article,

but he said something really important at

315

the end about a lawyer speaking about his

lawyer friend that has just dabbled in ai.

316

He said if it stays on this trajectory,

it being ai, he expects it will

317

be able to do most of what he does

before long, and he's a managing

318

partner with decades of experience.

319

He's not panicking, but he's

paying very close attention.

320

And that's my recommendation to you

guys is don't panic, but pay close

321

attention to all this AI things.

322

Start to integrate AI learning and

everything that you're doing on top

323

of your data analytics learning.

324

And that's something I'm gonna

be trying to do on this channel,

325

specifically on my newsletter as well.

326

I'm gonna start to try

to help you become an.

327

AI native data analyst or

an AI fluent data analyst.

328

So if that sounds interesting to you and

you actually want those tips delivered

329

to your inbox every single week, you

can join 50,000 other aspiring data

330

professionals@datacareerjumpstart.com

331

slash newsletter, and it's

absolutely free to join.

332

Guys, stay positive.

333

Data jobs aren't dead.

334

There's lots of data jobs left

and there will be in the future.

335

That's my message to you and I

hope you take it to your heart.