Artwork for podcast Data Career Podcast: Helping You Land a Data Analyst Job FAST
194: I Asked 3 Data Analysts How They ACTUALLY Got Hired
Episode 19420th January 2026 • Data Career Podcast: Helping You Land a Data Analyst Job FAST • Avery Smith - Data Career Coach
00:00:00 00:40:21

Share Episode

Shownotes

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away!

Over the past few years, I’ve interviewed some of the smartest people in data. You’ll hear three real stories of people with no experience landing their first data job, and exactly how they did it.

💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter

🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training

👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa

👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator

⌚ TIMESTAMPS

00:00 – Three real stories of breaking into data with no experience

00:38 – Thomas: From high school teacher to data role in 61 days

13:52 – Kadesha Bryant: From warehouse work to senior data roles through networking

24:35 – Rachel Finch: Escaping the night shift and landing a BI role in 95 days

39:45 – The shared pattern behind all three data career pivots

🔗 CONNECT WITH AVERY

🎥 YouTube Channel

🤝 LinkedIn

📸 Instagram

🎵 TikTok

💻 Website

Transcripts

:

Over the past 1000 days, I've had the opportunity to

2

:

interview some of the smartest and

brightest minds in the data world.

3

:

They've given really great advice

on how to actually land a data job.

4

:

In today's episode, you'll hear three

real stories of people with no experience.

5

:

Landing their first data job.

6

:

They'll teach you what skills to

learn, how to approach the job hunt,

7

:

and the secret to getting hired

sometimes in less than 60 days.

8

:

So without further ado, let's

go ahead and get into it.

9

:

The first story is Thomas.

10

:

And Thomas was a frustrated high school

math teacher who did not really like

11

:

his job and wanted to pivot into data,

and 61 days later, he was able to do so.

12

:

Here's exactly how he did it.

13

:

You ultimately joined the accelerator.

14

:

And you landed a job as this senior

reimbursement analyst pre pretty quickly.

15

:

Do you know how fast you ended that job?

16

:

Speaker 5: Uh, so I started the

program in April, we said end of April.

17

:

Yep.

18

:

And I got that job, I think I had

the first interview in the middle of

19

:

June, so about a month and a half.

20

:

I guess I would say

21

:

Speaker 4: I, I had from your start day of

the accelerator to when you told us that

22

:

you landed the job, I have it as 61 days.

23

:

Yeah.

24

:

So less, less than two months.

25

:

And you had been doing, like for

instance, like you said, this data

26

:

science bootcamp through Rutgers, like

all, yeah, not all of last year, but

27

:

you had done it the year previous.

28

:

Mm-hmm.

29

:

So basically li like I said,

you are so close landing a job,

30

:

you just need the s SPN method.

31

:

What is, do you feel like that's what

made the difference for you to like to,

32

:

to have land that job within two months?

33

:

Speaker 5: Absolutely.

34

:

I, I would, I would say definitely

'cause I felt like I had the

35

:

skills, like we just talked about.

36

:

I just wasn't networking correctly.

37

:

Uh, I wasn't doing what I had to do

on LinkedIn and you don't realize.

38

:

Coming from the education world,

LinkedIn doesn't really exist.

39

:

You, you apply for jobs and you go on the

interviews and you bring, you know, stuff

40

:

that you had done in other classrooms

or, or in my case, 'cause it was right

41

:

outta college or in student teaching.

42

:

And, and that's pretty much it.

43

:

Whereas for this, this

was all brand new to me.

44

:

And the bootcamp that I took while all

good and well, I learned these skills.

45

:

I had no idea what to do after.

46

:

There was no, you know, you should do this

to network with X, Y, and Z, or this is

47

:

how you should show off your projects.

48

:

It was just, we did a lot of projects

and a lot of, uh, little tasks or

49

:

homework assignments they called.

50

:

Uh, but that was all on GitHub.

51

:

And like you and I had talked about in

that first call, you're like, that's

52

:

not really gonna do anything for you.

53

:

'cause no, um, employer or hiring

manager is gonna sift through a bunch

54

:

of code on your GitHub portfolio.

55

:

Like it's just not gonna do anything.

56

:

So I think SPN definitely

made the difference for me.

57

:

Where learned the skills, made

these projects, and then was able

58

:

to network and, and show off these

projects in a really cool way.

59

:

Speaker 4: I, I think so too.

60

:

I think, I think you were so close.

61

:

You had all the skills, you just

needed the portfolio, uh, and Right.

62

:

And the networking.

63

:

When I went through your

LinkedIn today to like kind of

64

:

go through your whole journey.

65

:

Uh, you had posted once about the,

the data science bootcamp from Rutgers

66

:

and it was at, at the very end.

67

:

Um, I think it was maybe just

like a certificate or something.

68

:

And that's so opposed to how we

do it inside of data analytics

69

:

accelerator where like literally

day one I'm like post on LinkedIn.

70

:

Post On LinkedIn, you finish your

first project post on LinkedIn.

71

:

Uh, so I think that was

one of the big things.

72

:

And that's ultimately

how you found this job.

73

:

Correct.

74

:

Was someone reposted it on LinkedIn?

75

:

Speaker 5: Yeah.

76

:

So.

77

:

Like you said, I had really never

posted on LinkedIn throughout

78

:

that bootcamp, which is obviously

wasn't doing me any good.

79

:

Um, and then started posting on

LinkedIn through the bootcamp

80

:

or through, um, our program.

81

:

And then I just kind of followed people

who you interacted with on LinkedIn and

82

:

found a lot of them to be posting jobs.

83

:

And the one guy, I'm sorry, I can't

give him credit, I don't really

84

:

remember his name or who it was exactly.

85

:

He posted, I think like 10 or so remote

jobs, either weekly, every few days.

86

:

And I would just apply to them if I

thought I was a decent candidate for

87

:

the job, even if I wasn't really like

a super great fit in layman's terms.

88

:

I, I just, I thought might as well apply.

89

:

Can't hurt to apply.

90

:

Um, so I applied, uh, to this

specific job and, and I was

91

:

able to, to get an interview.

92

:

I was honestly kind of shocked that I

got the interview with them, but that's,

93

:

that's what I'm saying, like you just.

94

:

You never know.

95

:

And I think it's really important to

apply and, and look at these posts.

96

:

Uh, there's a lot of, you know, anecdotal

stuff on LinkedIn and, and you have talked

97

:

about posting some stuff like that too,

um, in the, in the data career jumpstart.

98

:

But there are also a lot of

people who are trying to help us,

99

:

like people that are looking for

jobs where they're posting jobs.

100

:

And I think that's really important to

look for and, and not to get too bogged

101

:

down in, oh, this isn't for me because.

102

:

Really, it's for everybody.

103

:

Everybody's doing it.

104

:

You know?

105

:

Speaker 4: I think you had also

mentioned that that job that you

106

:

ended up landing required, what, two

to three years of, of experience?

107

:

Speaker 5: Yeah.

108

:

It was two to three years of some

healthcare or medical experience,

109

:

which obviously I'm a math teacher.

110

:

I did, I just did not have.

111

:

Um, and I, I can't, I think that's what

it said, but it, it said that in the

112

:

actual job description, but in the.

113

:

Original post on LinkedIn

by the hiring manager.

114

:

It said zero to two

years experience needed.

115

:

So I was like, oh, well the original

post says zero to two years.

116

:

I don't really care what the job

description says right now, lemme

117

:

just apply and see what happens.

118

:

So I, I think, don't get discouraged

by a lot of what job descriptions say.

119

:

You know, a lot of that

could come from the top down.

120

:

It might not even come

from the hiring manager.

121

:

It could just come from what

the, the company as a whole want

122

:

that job description to say.

123

:

Speaker 4: At the end of the day,

job descriptions are really more

124

:

wishlist than they are requirements.

125

:

So if you fit like 65 to 70%,

uh, maybe even 50% sometimes, you

126

:

know, go ahead and apply, right?

127

:

Because you never know what might happen.

128

:

And that was true.

129

:

For, for you in, in this case,

do you remember if you, was it

130

:

like a LinkedIn, uh, easy apply?

131

:

Was it that you, did you

apply on their website?

132

:

Speaker 5: Um, I applied on

their website, so it was a link.

133

:

I just clicked on the link and

I applied on the Rev website.

134

:

It was really simple, and I think

you and I had actually talked about

135

:

this in the original call that we had

in March, or even, I think I talked

136

:

to you again in April or so, right

around when I joined the program.

137

:

It, it was a

138

:

Speaker 4: DM you sent me, I think.

139

:

Speaker 5: Yeah.

140

:

And it was, and you said just always apply

on, uh, the actual website if you can.

141

:

They're just more likely to

look at that than the LinkedIn,

142

:

um, like easy apply algorithm.

143

:

Speaker 4: It's, it's super true.

144

:

Um, having posted a job on LinkedIn

jobs, let me tell you, uh, LinkedIn,

145

:

you need to hire a data scientist to

make your algorithm for candidates a lot

146

:

better because I got over 550 applicants

and the top applicants were not on the

147

:

first two pages, I'll tell you that.

148

:

Like who they thought was relevant.

149

:

I was like, this person's not

relevant, so that's great.

150

:

Did you do anything special cover letter,

send a cold message, anything like that?

151

:

Speaker 5: Definitely sent a cold message.

152

:

And it was funny because, um, the person

who interviewed me first, uh, I sent

153

:

a cold message to her boss and then

she said, you know, honestly, your,

154

:

your resume was just passed to me.

155

:

Like I, someone got a message from

me and that's how I got your resume.

156

:

And I decided to, you know, interview.

157

:

And I was like, well, that's awesome.

158

:

I guess that worked out for me.

159

:

Um, but I don't think

I did a cover letter.

160

:

Uh, we might have even

talked about this, I think.

161

:

The cover letter is,

well, they're important.

162

:

I guess they're way more likely

to just read your cold message if

163

:

that's what you're sending them

than they are your cover letter.

164

:

Speaker 4: Cold messages are

the new, uh, cover letter.

165

:

I think cover letters are kind of dead

and if you can send Yeah, a cold message

166

:

where it's like, I don't have to read

one page of stuff that's just mostly

167

:

fluff that you use chat GPT to write,

and instead you can tell me in like.

168

:

Three to four lines, who you

are, why I should care about you.

169

:

I think that's some directly to my inbox.

170

:

I think that's way more impactful.

171

:

That's awesome.

172

:

I didn't realize you sent a cold message.

173

:

I think.

174

:

Yeah, that's, I'm trying to figure

out like, you know, when, when Thomas

175

:

is applying, I know you're a great

candidate, you know, you're a great

176

:

candidate, but how do you convince this

recruiter and this hiring manager when

177

:

they have, you know, 500 other candidates

that you're the right candidate?

178

:

And I think the cold message is one,

and then probably your portfolio

179

:

helped stand out a little bit.

180

:

Speaker 5: Yeah, I would think so.

181

:

Uh, I think just going back to the

cold messages, like I was sending

182

:

one to every job that I applied to,

uh, or at least trying to, trying

183

:

to find someone that I could.

184

:

And I, I believe there's a page or

a couple pages on our, on our, uh,

185

:

like in our book of materials that

you give us, where it just kind

186

:

gives you like an outline of what

you should say to these people.

187

:

And that's what I was,

I had it bookmarked.

188

:

I was going back to it every single time.

189

:

Um, but yeah, they did talk about my, um.

190

:

Uh, portfolio.

191

:

Um, I think it was probably

a sticking out point.

192

:

Uh, you know, the person that interviewed

me first said it was definitely super

193

:

interesting and like I said to you, uh,

she thought that just based on that, that

194

:

my analytical skills absolutely qualified

for the job that they were looking for.

195

:

Speaker 4: That's actually

really cool because, um.

196

:

You didn't have any healthcare experience

prior to this, but one of the things I

197

:

tried to do when I designed the bootcamp

was each module has like a different

198

:

industry theme, and so in module five we,

we cover some healthcare data using sql.

199

:

So you know, you, you'd maybe never

actually, like in a workplace, looked

200

:

at healthcare records, but in this

bootcamp with, we had looked over,

201

:

I think there was like 2 million

rows in that, in that SQL data.

202

:

Set that we, we analyze.

203

:

So you had, you had at least some,

you created your own healthcare

204

:

experience at the end of the day,

205

:

Speaker 5: right?

206

:

I think I actually said that.

207

:

I was like, yeah.

208

:

In my portfolio.

209

:

Uh, I, you know, I had this

healthcare project that we worked on.

210

:

Uh, you know, I tried to

pull from family members too.

211

:

I was like, I have some family that

works in healthcare and, you know.

212

:

You don't wanna necessarily lie because

they could ask you follow up questions,

213

:

but you certainly wanna make your

knowledge look a little bit better.

214

:

And I, I think that's what I tried to

do, especially using that project that

215

:

we had worked on in the, in the class.

216

:

Speaker 4: Hey, experience is experience.

217

:

No one can take it away.

218

:

You can just describe it as it is,

and they can decide whether they, they

219

:

think it qualifies enough, but, uh,

it's always good to get that out there.

220

:

Um, even with that, I,

I think this is true.

221

:

I haven't, I haven't talked about the.

222

:

I haven't talked to you about this before.

223

:

Um, but, uh, I think after this

first interview, this, this

224

:

timeline maps up a little bit.

225

:

Um, you went into our community and

you said, just finished the capstone

226

:

and I had my first interview, uh,

this week, however, it seems like

227

:

I don't have enough healthcare

experience, so I'm not too confident.

228

:

If anything else, it was a

good interview experience.

229

:

I'm continuing to apply for

jobs and sending cold messages.

230

:

Then you say this great line.

231

:

Some days it's hard to not feel

defeated, but definitely trying

232

:

to stay as positive as possible.

233

:

Hoping to land something soon.

234

:

That, was that the first

interview for this job?

235

:

Speaker 5: Yeah, that was the

first interview for that job.

236

:

And I'm laughing thinking

about, thinking back to that.

237

:

'cause I'm really, I got off the call

and I was like, wow, I, I have no shot.

238

:

I was like, I don't have

this healthcare experience.

239

:

And uh, it just kind of all worked out.

240

:

I think that's the important thing.

241

:

Like we talked about this a

little bit, just go on these

242

:

interviews and kind of be yourself.

243

:

Um, I really talked about my

willingness to learn and want to learn.

244

:

And, um, I guess they liked that.

245

:

Um, and I, again, I was really

surprised and I was after that,

246

:

got the second interview and I

was pretty nervous for that too.

247

:

I was like, I wonder, I don't

even know why they're interviewing

248

:

me a second time right now.

249

:

Um, but that interview, and I said it,

when I got off it, I was like, I really

250

:

think that I might have just gotten this.

251

:

And it wasn't anything technical.

252

:

Uh, they did ask a little

bit about my experience, but.

253

:

You just kind of go into these interviews

and you kind of feel the vibe with the

254

:

people that you're going to work for.

255

:

And I just thought the vibe was great.

256

:

You know, I, I thought they'd be

great people to work for, and it

257

:

got me really excited about it.

258

:

And you just say, here I am.

259

:

Speaker 4: I, I think

that's so interesting.

260

:

And, and I love that, that the interviews,

sometimes they're super scary, but a

261

:

lot of the times they're just like,

okay, does this person seem like they.

262

:

Have enough technical skills and

are they able to learn the rest?

263

:

I know that's one of the

things you mentioned.

264

:

It's like maybe, I don't know healthcare

yet, but I'm, I'm willing to learn that.

265

:

Um, I wanna go back to that phrase.

266

:

Sometimes it, it is hard

to not feel defeated.

267

:

Uh, what were you feeling

when, when you posted that?

268

:

Speaker 5: I think I

was a little bit upset.

269

:

Um, probably defeated honestly,

because I, I felt like this.

270

:

I'm sure there are a lot of people like

me out there where, you know, you're

271

:

applying to so many jobs and you're

not hearing back that when you get that

272

:

first interview with that company, no

matter what company it is, you feel

273

:

like, all right, this is my shot.

274

:

I gotta get this.

275

:

Um, and that's how I

felt with this company.

276

:

And I, like I said to you, I, I feel

like the first interview didn't go.

277

:

As well as I, not that it didn't go

well, it just, I know what they were

278

:

expecting and I didn't think that

was me, so that it kind of stunk.

279

:

But at the same time, like I knew how

badly I wanted to change what I was doing

280

:

or change my career path, that it was

still driving me because, you know, I,

281

:

I had talked to my family about it and

they're like, well, even if you don't

282

:

get it, you're not just gonna stop.

283

:

And I was like, yeah, you're right.

284

:

There's really no point

in feeling defeated.

285

:

'cause I'm not gonna just stop.

286

:

I, you know, you wanna

keep going until you.

287

:

Get that ultimate goal of getting a

new job, and I think that's where the

288

:

staying positive portion is, is really.

289

:

Important.

290

:

Speaker 4: I hope you learned

a lot from Thomas's story about

291

:

staying positive, sending cold

messages, and having a portfolio.

292

:

Those things are super important

and he's living proof that it's

293

:

still possible to pivot into a

data job even in today's economy.

294

:

By the way, if you want more stories

like these and just solid data, career

295

:

advice overall, consider joining.

296

:

Free newsletter.

297

:

I send out tips every Wednesday to

27,000 other data analysts just like you,

298

:

and I think you might really enjoy it.

299

:

So go to data career

jumpstart.com/newsletter,

300

:

or you can find the link in

the description down below.

301

:

Our next real story is Kadesha

Bryant and Khas story starts with

302

:

her working as a technician for

the military, and right after that

303

:

she had become a warehouse worker.

304

:

But after some networking magic.

305

:

She was actually able to land

some pretty senior data jobs.

306

:

So here's her strategy and exactly

how you can implement it for yourself.

307

:

Speaker 6: So in the Navy, I started

off as a calibration technician,

308

:

so very hands-on technical.

309

:

Uh, then I moved up into production

supervisor, and then right before or after

310

:

I left in 2020, I went back into school.

311

:

And I was expecting to walk into

a hundred thousand dollars jobs,

312

:

and that just did not happen.

313

:

So I just went back into, I went

back into school and started

314

:

delivering pizzas for Domino's.

315

:

I was doing that for about a few months,

then started delivering packages for

316

:

Amazon, and then did that for a few months

and started working at The Warehouse.

317

:

Yeah.

318

:

The Amazon warehouse or just what?

319

:

What type of warehouse?

320

:

Oh, it was a alcohol

distributor, so very heavy.

321

:

Just imagine big wine cases,

alcohol cases, so doing

322

:

that for 10, 12 hours a day.

323

:

That sounds exhausting.

324

:

It was exhausting.

325

:

I was in great shape.

326

:

I appreciated that.

327

:

But otherwise was terrible.

328

:

Speaker 4: Yeah.

329

:

Okay.

330

:

Now walk us through that

journey a little bit.

331

:

How did you get from, you know,

delivering pizza dominoes to landing

332

:

a senior data engineering position?

333

:

Speaker 6: Okay, so I first learned

about the data engineering space.

334

:

I would say maybe like Spring 21 when

I was discussing it with a professor.

335

:

'cause I was like trying to

figure out what are some good

336

:

job opportunities for me.

337

:

And she mentioned data

analytics, so I researched it.

338

:

Went on Google, I think my first month

was trying to decipher the difference

339

:

between a data scientist and data analyst.

340

:

Then I settled on analyst, I

self-study for summer of 21.

341

:

Uh, pretty much sql, Tableau with some

power BI created a decent portfolio.

342

:

And then in the midst of while I was

doing that, I was also working at

343

:

the warehouse 10 to 12 hours a day.

344

:

And the thing about that warehouse

gig, it was like a bait and

345

:

switch, and I eventually just quit.

346

:

With no backup plan, and I

started studying data for about

347

:

six hours a day, six days a week.

348

:

Just 'cause I loved it so much.

349

:

It was just really cool to finally

find something where I can learn

350

:

and get better at something.

351

:

On my own without having to

like, you know, in school or

352

:

pay tuition or things like that.

353

:

So it was just a really cool

field to get into and I knew

354

:

internships were starting to, were

gonna pop up late or early August.

355

:

So I was preparing for that.

356

:

I applied, I got my resume beefed

up pretty much, and I got my

357

:

first gig at Cox Communications.

358

:

I did that and while doing that,

also found DCJ and started doing

359

:

a lot more upskilling in my free

time and started doing a lot of

360

:

networking also in 2022, so last year.

361

:

And so during that time, you actually hit

me up at some point and said if I saw some

362

:

like job that Mark Freeman posted in the.

363

:

DCJ Discord.

364

:

And then you actually ended

up getting both of us to talk.

365

:

And basically I submitted my

information and I applied to it.

366

:

I got the job and I was able to start

in, I'd say the fall of last year.

367

:

And so while I was doing that,

I was also networking like

368

:

ridiculously the entire time.

369

:

So I was having coffee

chats at least twice a week,

370

:

sometimes way more than that.

371

:

I, my thing was I wanted to learn from

people who were way more advanced than me.

372

:

I wanna learn from people who

were steps ahead than me and know

373

:

exactly how they got there and

what I need to do to get there.

374

:

And so with that type of approach, I never

really approached them with the idea of,

375

:

I'm hoping to get a job from them, but you

know, eventually they would think about me

376

:

for, you know, roles or opportunities and.

377

:

It was just insane to me.

378

:

So it was really like crazy networking.

379

:

Crazy upskilling.

380

:

Sometime last year someone posted about

something about Booz Allen and my veterans

381

:

data science group and veterans data

science and machine learning work group,

382

:

and I applied for it and I got the gig.

383

:

So I was it.

384

:

It's crazy like my past two jobs.

385

:

It spurned out of a discord, burned out

a discourse, burned out of networking.

386

:

It's insane.

387

:

So that's how I got this job.

388

:

So that's like a kind of a,

in a nutshell how I got here.

389

:

Speaker 4: I love it.

390

:

Thank you.

391

:

Thank you for that summary.

392

:

That was really great.

393

:

There's a lot of stuff that I want, I

wanna dive a little bit deeper into, and

394

:

I'm gonna start, sometimes I build up

when I do these podcasts, like we build

395

:

up to kind of the advice at the end.

396

:

But I kind of wanna reverse that with you.

397

:

So you did two coffee chats a week.

398

:

Tell us like, do you

think that was worth it?

399

:

Oh, absolutely.

400

:

Yeah, absolutely worth it.

401

:

Speaker 6: Honestly, I think a lot

of people, like they'll focus on,

402

:

you know, followers or things like

that when posting on LinkedIn.

403

:

But no, it's like the, it's the

networking or the folks that you're

404

:

talking to behind the scenes.

405

:

That's really where your

real network is built.

406

:

So it was exhausting at times.

407

:

There were times where I

kind of overbook myself, but.

408

:

I've advanced way faster and much

more quicker than had I just tried

409

:

to be to myself and not network 'em.

410

:

Speaker 4: Yeah, I think

network is really key.

411

:

I mean, that's one of the

things I really believe in.

412

:

And one of the things why I think

Data Career Jumpstart is a little bit

413

:

different, you know, and the SPN method

skills portfolio network, you have to

414

:

have all three because the networking is

what ends up landing you both your jobs

415

:

kind of at the end of the day, right?

416

:

And it's like you can spend

all this time applying to jobs.

417

:

You could spend.

418

:

This time filling out all

these applications, perfecting

419

:

your resume, all that stuff.

420

:

But if you don't have that,

that could lead you nowhere.

421

:

But a lot of the times, the

network is actually what leads

422

:

you to the promised land.

423

:

At the end of the day,

I'm reading a message.

424

:

I sent you on March 29th, 2022, with

I guess your kind of former boss,

425

:

and I basically introduced you to

Mark because you were doing awesome

426

:

things for me and you're doing awesome

things for your fellow students

427

:

in my program and my community.

428

:

And so I introduced you to Mark, and then

you ended up landing that job at Humu.

429

:

And anyways, it's just crazy to me like.

430

:

You.

431

:

You could have had the world's

best resume, but if you weren't

432

:

networking, people don't really

know or don't really care.

433

:

Right.

434

:

Yeah, it's a good point.

435

:

'cause even if you have the network,

you have to have some substance behind

436

:

it because especially with that job

opening, that was my friend Mark.

437

:

Right?

438

:

And I wanna have a good

relationship with Mark.

439

:

I don't want him, I don't

wanna waste his time.

440

:

I don't wanna send him someone

that's gonna be causing trouble or

441

:

just be a waste of an interview.

442

:

Right.

443

:

So you're definitely right that like.

444

:

I had a bunch of people in my

program and, and you were the

445

:

person I chose for that one.

446

:

'cause I was like, I trust

Kadesha is ready for this.

447

:

I think she would do a good job.

448

:

I think she'd, she'd make me look good.

449

:

She'd make the program look good.

450

:

So you're definitely right.

451

:

It's about networking and you have

to have substance behind it as well.

452

:

Now going back to the coffee chats,

one thing that I think a lot of

453

:

my students inside of the Data

Analytics Accelerator program.

454

:

Are nervous about is, it kind

of seems like coffee chats can

455

:

sometimes be one sided, like you're

just asking them to help you.

456

:

So can you tell us a little bit

about your mindset that you went

457

:

into these coffee chats and like what

type of like thing, like how would

458

:

you even ask to do a coffee chat?

459

:

Speaker 6: Yeah, that's a good one.

460

:

So one thing that I've learned is that

people are more than willing to help you.

461

:

But you do have to

present it in a good way.

462

:

So I would try to find some

sort of like common ground that

463

:

you have between that person.

464

:

So like for example, when I was

at Cox Communications, it was, I

465

:

would first reach out to people at

the company and say, Hey, I work

466

:

here and I'd like to speak to you.

467

:

You know, a general thing like that.

468

:

If I would also go to like

my alma mater, so folks that

469

:

went to Kennesaw State, I can.

470

:

You know, you can, uh, filter it down

and find people who work, maybe like a

471

:

data scientist or things like that and

say, Hey, I went to your alma mater, or

472

:

I went to Kennesaw State just like you.

473

:

I'd like to talk to you.

474

:

This is a field that

I'm trying to get into.

475

:

Try to find those common grounds.

476

:

And you realize people do wanna

help you, but if you approach

477

:

it in a sort of way that.

478

:

You're not really

interested in that person.

479

:

You're just interested in

them trying to get to a job.

480

:

I feel like it's not gonna work, but if

you come across in a way where you're

481

:

really interested in who they are,

what they did to get to where they're

482

:

at, and try to find a common ground

between that person, you're gonna

483

:

get a lot of yeses, in my opinion.

484

:

It's hard.

485

:

It's hard for people to

not say, to say no to that.

486

:

Speaker 4: Yeah.

487

:

I feel like most of the

time the answer's yes.

488

:

Or an ignore or like a,

just like a no reply.

489

:

So really that's all you have to

lose is you, if you ask for a coffee

490

:

chat, you're either gonna get a

yes or you're gonna get an ignore.

491

:

And the ignores don't really matter.

492

:

And the yes.

493

:

Can be, you know, almost life

changing at the end of the day.

494

:

And I think you're right that people

are more willing to help than you

495

:

think, especially if you have that,

no, if you went to the same school.

496

:

If you are from the same hometown,

there's, I don't know, like our

497

:

tribal instincts kick back in and

we're like, yes, this person belongs

498

:

to the same group that I belong to.

499

:

I want to help them the most.

500

:

I can es, especially if you put

it in a way that it's like you're

501

:

not even asking for anything.

502

:

You just wanna hang out.

503

:

But then what happens is, like you

said earlier, you're on their mind.

504

:

When a job opening pops up, oh my gosh.

505

:

I talked to Kadeisha a couple weeks ago.

506

:

She'd be a great candidate,

uh, for this role.

507

:

And you really, the name of the

game of that is just being top of

508

:

mind for when opportunities pop up.

509

:

Oh yeah, I remember this person.

510

:

They'd be a good fit.

511

:

Speaker 6: Absolutely.

512

:

And I don't think people really

think about it that way or if they're

513

:

scared about networking, but honestly

that's way better than trying to.

514

:

Apply to 5,500 plus job applications

because the thing is you wanna put the

515

:

ownership in your court, you wanna put

the power in your court, and if you just

516

:

rely on, you know, applying to random

jobs or just LinkedIn or Indeed or

517

:

whatever job platform site, honestly, like

the odds are not really in your favor.

518

:

You know the power is not on your

side and you're really leaving your

519

:

success up to just complete chance.

520

:

So why not put the ball into your

court and put the power on your

521

:

side and actually just really get

over your anxieties and meet people.

522

:

It's really not that bad, honestly.

523

:

Speaker 4: And I'm an introvert, so yeah,

524

:

Speaker 6: e,

525

:

Speaker 4: exactly.

526

:

It's almost easier than applying for

all those jobs in the black hole.

527

:

There you have it, folks.

528

:

Coffee chats, joining

groups, sending messages.

529

:

Hopefully you can see once again,

the important of networking

530

:

in khas own data story.

531

:

And not to sound like a broken record

here, but I try to include networking

532

:

tips in my newsletter every single week.

533

:

So once again, make

sure you're subscribed.

534

:

The next story we have is Rachel.

535

:

And Rachel was working

the dreaded night shift.

536

:

She was not really loving having to work

all night and sleep all day, and she

537

:

was listening to this podcast, the Data

Career Podcast, while she was working

538

:

and just three months later, she was

able to successfully pivot into data

539

:

analytics and you will not believe where

she was able to find her first day job.

540

:

It's actually in a

place you'd never guess.

541

:

Let's take a listen.

542

:

You listen to this podcast Data Crew

podcast for a year, and then January

543

:

21st you join the Accelerator program.

544

:

And then on April 25th, I think just

95 days later, you have an offer

545

:

for a business intelligence analyst

role at Optum Healthcare that is not

546

:

the night shift and is fully remote.

547

:

So let's, let's go through that journey.

548

:

In those 95 days, what was, what

was the biggest difference for you?

549

:

Like what, what changes did you

make in your life in those 95 days?

550

:

Speaker 7: Well, even like leading up

to that, in the year where I listened to

551

:

your podcast, I had a lot of free time.

552

:

I knew I wanted to go back

to school something data.

553

:

We used Power Bi Anheuser for

reports, showing some data

554

:

every on a day-to-day basis.

555

:

So I kind of looked for a podcast I could

listen to at night, and I found yours

556

:

not even knowing that you ran a bootcamp.

557

:

So in January I actually ran off Marathon.

558

:

I on the same weekend decided

to sign up for your bootcamp.

559

:

I think it was a very

big momentum step for me.

560

:

I was just ready to get out of

where I was, and I actually had the

561

:

opportunity to change from night shift

to afternoon shift for a quarter.

562

:

So I had about three and a half months,

which I dedicated my spare time to working

563

:

throughout the bootcamp, applying to

jobs, and I think just knowing I had

564

:

that almost like extra sleep, gave me the

power to work through the bootcamp and

565

:

really gave me the motivation to get a

566

:

Speaker 4: new job.

567

:

Um, and you are able to land

this job at Optum Healthcare as

568

:

a business intelligence analyst.

569

:

Um, first off, do you have

any business experience?

570

:

Speaker 7: I mean, I worked

at a restaurant when I was

571

:

in college selling pizza.

572

:

That's probably about as much as

I have for customer experience,

573

:

um, business background.

574

:

So, no, not

575

:

Speaker 4: really.

576

:

So well that's impressive that

you're able to land this job.

577

:

Did they like your biology background

at Optum or were they kinda

578

:

like, ah, we don't really care?

579

:

Speaker 7: I think it was more so like

other experience I experiences I had

580

:

that tied into my biology background.

581

:

I, at one point I wanted to be a nurse, so

I had some like care aide job experience.

582

:

I worked in some different labs.

583

:

I even worked in a

research department of a.

584

:

Rehabilitation hospital.

585

:

So I had some data experience with

that as well as like working in

586

:

that type of patient population.

587

:

So they liked that part as well

as the more like QA and technical

588

:

skills that I learned at Anheuser.

589

:

Speaker 4: I just think that's

really important to highlight that

590

:

even though you maybe didn't have

business experience and you know,

591

:

maybe you had a biology background.

592

:

Your, your quality assurance analyst role.

593

:

You know, you had some exposure to

bi, you had some exposure to KPIs

594

:

and, and metrics stuff mm-hmm.

595

:

And stuff like that.

596

:

But with your background, even with the

bootcamp, you were applying for jobs and

597

:

you were kind of struggling to, to land

interviews at first because you couldn't

598

:

quite figure out the whole a TS, right?

599

:

Like it was, it was tricky.

600

:

Speaker 7: Right.

601

:

So when I first started like

uploading my resumes to the a TS

602

:

softwares, I had pretty good scores.

603

:

And then when I started

nitpicking my resume.

604

:

My scores actually went down,

which I thought was shocking,

605

:

you know, using keywords.

606

:

Some of them didn't even

pick up on the words.

607

:

So that was kind of, you know, difficult

experience and I think that's where

608

:

I really dug deep into the SPN method

that you talked so highly about

609

:

the networking part, because that's

when I started reaching out to other

610

:

people I knew in, you know, insurance

companies or other healthcare positions.

611

:

And if they knew anyone.

612

:

That had openings that they thought

I would be, you know, an asset to the

613

:

Speaker 4: team.

614

:

That's so cool.

615

:

And I think it's so.

616

:

It seems so simple.

617

:

Like I talk about the SPN method all,

all the time, uh, right, that you

618

:

need more than just skills on the day.

619

:

Job skills are a part of

it, but it's just a third.

620

:

You need the portfolio and

then you need the network.

621

:

And it's so easy to be like,

yeah, I agree with that.

622

:

I wanna follow that.

623

:

But very few people ever actually

get very far on the p and even

624

:

fewer get anywhere on, on the end.

625

:

And so the, let's talk about

the end just a little bit here.

626

:

So you're like, crap, I

can't get past these ATSs.

627

:

I'm never gonna end a daily

job unless I can figure out

628

:

how to get my foot in the door.

629

:

And the easiest way to get my foot

in the door is if I know someone,

630

:

if I the end part of the SPN method.

631

:

And so where did you start looking?

632

:

Just like friends and and family.

633

:

Were you like going through your

phone, where you're going through

634

:

LinkedIn or Facebook or something?

635

:

Speaker 7: I actually did take a step

outta my comfort zone, like he pushed

636

:

us to do, I, you know, looked in.

637

:

I'm in Florida in the Jacksonville area.

638

:

So I was looking in this area

just randomly cold messaging

639

:

people that were in data roles,

asking them how they got there.

640

:

Oh, do you have any like, you know,

advice for someone like me that wants

641

:

to break into this field that might not

have the exact background but has the

642

:

skills and is working towards the skills?

643

:

And I actually ended up, a friend

from my last job had a friend who

644

:

worked for United Healthcare and.

645

:

Just to break it down.

646

:

United Healthcare and them

are kind of like sisters.

647

:

They're together in the

United Health Group.

648

:

So he would, he let me know if there

was anything I saw job wise to let

649

:

him know and he would recommend me.

650

:

Speaker 4: Okay.

651

:

So you basically messaged a

friend and you're like, Hey, do

652

:

you know of any opportunities?

653

:

How did you know this friend?

654

:

Was this just like someone

from like high school or

655

:

Speaker 7: something?

656

:

Actually, a friend I go to church

with, one of her friends works at

657

:

United Healthcare, so he kind of.

658

:

Gave me the opportunity if I had, if

I saw any jobs that I liked to let

659

:

him know and he could recommend me or

let me know a little more about that

660

:

Speaker 4: position.

661

:

That's so cool because actually the

way I, I landed my first day job

662

:

was also through a friend at church.

663

:

So if you're, if you're trying to

lend a date, a job, I guess you

664

:

guys just gotta get to church.

665

:

'cause that's, that's where

all the data jobs are.

666

:

So you, you reach out to this

friend, you're like, hey.

667

:

Just keep an eye open for me.

668

:

And how long did it take for,

for them to send something back?

669

:

Speaker 7: Well, I had seen a

job that looked interesting.

670

:

It was kind of had a vague description,

so I sent it along his way and just

671

:

let him know I was interested in it.

672

:

And I applied and he actually had

emailed the manager directly and I got

673

:

a call back from the recruiter maybe two

days later saying that, you know, they

674

:

kind of got a raving review about me.

675

:

They'd like to.

676

:

Setting up an interview.

677

:

It was kind of just a brief phone screen

at first, but I guess she liked what I

678

:

had to say and it progressed from there.

679

:

I

680

:

Speaker 4: wanna just pause because you

basically went from, you're getting like.

681

:

Like Fs on the a TS tracker, it

682

:

Speaker 7: was, no, I'm not even kidding.

683

:

It really must be a, a church thing.

684

:

Speaker 4: You're getting FS and then all

of a sudden you're talking to a recruiter.

685

:

You got, you got a direct line to

this hiring manager right away.

686

:

And I think that just really goes to

show how valuable the, the end was.

687

:

Because if, if you didn't do

that, if you didn't reach out

688

:

to this person and from church.

689

:

You know, you who knows if you'd have

a job right now in the data world.

690

:

Right?

691

:

Right.

692

:

You might still be working the night

shift, but it's all because that end, I

693

:

was it nerve wracking like sending that

first message to that friend and being

694

:

like, Hey, can you help me out here?

695

:

Speaker 7: It was, 'cause I knew he had

like a pretty high up role I, but I didn't

696

:

wanna like, seem like I was using our

connection kind of per personal gain.

697

:

But I've realized like since

kind of stepping out of.

698

:

Comfortability that people really

wanna promote you and really

699

:

wanna help you when you're driven.

700

:

So that's what I've seen

gaining this connection.

701

:

Now we have one-on-one meetings.

702

:

He let me know if there's anyone I ever

want to talk to, just to network with.

703

:

Like he'd set that up.

704

:

So if anything, it was a great

choice on my end to kind of like put

705

:

the ball in his court and send it

down, down court to other people.

706

:

Speaker 4: I love that to send it.

707

:

I freaking think that's the way to say it

right there is because like it is super

708

:

nerve wracking to send these types of

messages, but as long as you're, like you

709

:

said, like you're ambitious and you're,

you're a good person and you're not.

710

:

Just trying to use them like you actually

value their friendship and you're just

711

:

like, Hey friend, can you help me?

712

:

I mean, think about it.

713

:

If, if you, if your friend came to

you and said, Hey, can you help me?

714

:

And you actually could help them.

715

:

You'd want to help them, right?

716

:

So I think we get in our head and be

like, wow, no one wants to help us.

717

:

But it's like if someone came to

us and we have the opportunity to.

718

:

We, we definitely would.

719

:

And if we don't, we just say, you

know what, sorry, I can't help.

720

:

And for, for us or whoever's

asking, they're in the same

721

:

boat that they were earlier.

722

:

So really there's not

much of a, of a lose.

723

:

It's, it's a low risk,

high reward situation.

724

:

So I'm proud of you for, thank you

for taking the initiative and doing

725

:

it because there's a lot of people who

don't because they're, they have fear

726

:

and you, you pushed it past the fear.

727

:

I wanna talk about when you

did talk to that recruiter,

728

:

what, what did the recruiter.

729

:

Say, what were they like

interested in you for?

730

:

Like what?

731

:

What was that conversation like?

732

:

Speaker 7: I will say like, she

asked me specific questions and I

733

:

had mentioned I was in this bootcamp

and she was really intrigued by that.

734

:

I don't know if it an up and coming

conversation in a lot of these type

735

:

of recruitment calls, but she wanted

me to go into more detail and I

736

:

was able to provide these projects.

737

:

At this point, I don't think that I'd

gotten to the NBA Tableau project, but I

738

:

did the education project at this point.

739

:

So I got to talk on that a lot, and she

was from Massachusetts, so it kind of

740

:

like made a further connection for her.

741

:

So she got to see the project.

742

:

And originally in my resume, she

didn't know that my projects were

743

:

hyperlinked, so she was able to go

back to the manager and the director

744

:

and let them know they could actually

see my work, not just read the little

745

:

Speaker 4: description about the project.

746

:

So that's super cool.

747

:

I think that that one,

you had the projects.

748

:

And, and that two, they didn't realize

it at first, and then they're like, Hey,

749

:

do you have any experience with Tableau?

750

:

And you're like, yeah, just click that,

that title right there, and then boom,

751

:

your, your beautiful dashboard pops up.

752

:

And I didn't know that the recruiter

from Massachusetts and that particular

753

:

project that you did was on Massachusetts

data, but like the fact that like

754

:

this recruiter could go through and

be like, oh, look at this county.

755

:

Like I totally understand the data of

this county versus that county and, and

756

:

kind of enjoy and have those aha moments.

757

:

I think that's really what

the portfolio is all about.

758

:

So you kind of nailed that.

759

:

Being able to, to show them, Hey,

look, I, you know, I have a biology

760

:

degree I've kind of worked in, in

the medical field and now I'm kind

761

:

of working as quality assurance.

762

:

I might not have the ideal data

background, but look, here's some,

763

:

some evidence that I can actually do

what your job description says I can.

764

:

That must have been kind of a

fun feeling to watch them look

765

:

at your portfolio in real time.

766

:

Speaker 7: It was.

767

:

'cause like I know throughout

the bootcamp I was like.

768

:

Like we said, a marathon note,

it was a straight sprint.

769

:

Like I wanted to learn as much as

I could to build that portfolio

770

:

to show it off to my network.

771

:

So it was really rewarding.

772

:

Speaker 4: Worth it in the end.

773

:

Okay.

774

:

Let's talk about the interview.

775

:

So recruiter interview was was the

first phone call, is that right?

776

:

Yes.

777

:

And then what happened from there?

778

:

Speaker 7: And then she set up an

interview with the director of the BI

779

:

team and then the manager of the BI team.

780

:

Speaker 4: And how did

those interviews go?

781

:

Speaker 7: That one was great.

782

:

The first interview was great.

783

:

She said at the beginning like,

this is just a conversation.

784

:

Don't be nervous.

785

:

And that's all it felt.

786

:

I didn't have any nerves.

787

:

Usually I'm like kicking, playing

with my seat under the table,

788

:

kind of like moving in my chair.

789

:

But I didn't have any nerves at all.

790

:

It felt so easy.

791

:

And I could talk on the projects we did.

792

:

I could talk on Tableau, I could

talk on some of the, you know.

793

:

Metrics and KPIs I learned while I was at,

in my role at Anheuser and using Power bi.

794

:

So they didn't get stuck on the fact that

I didn't have data analyst experience.

795

:

They were more intrigued by how passionate

I was to learn more and grow in a role.

796

:

So I think that's what

797

:

Speaker 4: made me stick out to them.

798

:

I really like that because in a lot

of interview situations it can feel

799

:

like, oh wow, you haven't done any

data analyst work in the past, huh?

800

:

Okay.

801

:

But if you give them like so

much stuff where you're like,

802

:

I'm super excited about this.

803

:

I paid my own money and on my

own time I'm learning to do this.

804

:

Here's, you know, seven of my

projects on different themes.

805

:

Go look at it.

806

:

I think you're giving them so much

stuff that they could think about

807

:

and talk about and relate to.

808

:

It kind of makes the interview

process a lot easier for

809

:

them and you in, in that way.

810

:

So I'm glad.

811

:

I'm glad it went well.

812

:

So that was, that was like the

first, the first interview, right?

813

:

What about the final interview?

814

:

Did that go well?

815

:

Speaker 7: So the final interview was

about two weeks later and it was everyone

816

:

on the team, so I believe six, five or

six people, and I was straight nerves.

817

:

I was so nervous that whole time.

818

:

I was like, I wonder if

they can see me fidgeting.

819

:

It was that bad and I felt like I answered

a few questions really well, but then

820

:

it was like I got caught on some word

and I just down downward spiral in my

821

:

head the whole rest of the interview.

822

:

But I remember like a few questions

that were just like probably to

823

:

calm me down and kind of like joking

with them and I think that might've,

824

:

you know, sparked some connection.

825

:

But they had mentioned that I was

like one of the first people in the

826

:

second round, so not to be like afraid

if I don't hear back for a while.

827

:

Speaker 4: And so that was two weeks after

the initial interview, is that right?

828

:

Right.

829

:

Speaker 7: It might've

been a little longer.

830

:

So I left that interview

thinking I did terrible.

831

:

But even, even they reassured me a few

things, like, oh, none of them ever knew

832

:

Tableau before they started in this role.

833

:

So I felt like, okay, I

kind of have a leg up.

834

:

When they said like, don't be

afraid, it might take a while.

835

:

I was like, okay, I need to start looking.

836

:

'cause I did terrible.

837

:

But two days later, waking up at five

30, you know, night shift, waking up.

838

:

I was actually going to a concert

that night, so I was gonna go into

839

:

work after going to a concert and

I had an email saying the interview

840

:

wanted to schedule a final offer call.

841

:

Which was just crazy 'cause

I thought I bombed that.

842

:

Speaker 4: That's a good feeling to have.

843

:

So that was right before the, the concert.

844

:

Speaker 7: Mm-hmm.

845

:

And I called outta work that night.

846

:

Speaker 4: That is, that is awesome.

847

:

Okay.

848

:

And then you scheduled

the, the final offer.

849

:

Um, wow.

850

:

Before we get into kind of,

first off, congratulations.

851

:

That's amazing.

852

:

And hopefully everyone listening's

clapping for you right now and

853

:

jumping out of their, their

chairs because that's amazing.

854

:

Those, those are my two tangents.

855

:

Back to your offer letter.

856

:

So you're excited you

get the offer letter.

857

:

Are you, who are you calling?

858

:

Who are you telling first?

859

:

My fiance,

860

:

Speaker 7: my parents, one

of my close friends at work.

861

:

That's awesome.

862

:

And then I reached out to you when I

needed some, some advice for negotiation

863

:

Speaker 4: and that my friends,

is the power of networking and I

864

:

guess the power of going to church.

865

:

I challenge each of you guys to get

out today and to start networking.

866

:

I promise it will change your life.

867

:

I also challenge you to hit the subscribe

button and then watch this video next

868

:

to get even more help on your data.

Follow

Links

Chapters

Video

More from YouTube