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⌚ TIMESTAMPS
00:00 – How hiring managers think
04:18 – The mirror test
05:06 – Your resume is invisible
08:36 – Your LinkedIn has red flags
11:57 – Your portfolio is your proof
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I'm begging you, stop applying
to data analyst jobs at least
2
:until you do this one thing.
3
:Look, if you sent out 50 applications,
100 applications, 200 applications, and
4
:you're getting absolutely nothing back,
I know what you're telling yourself, that
5
:the market is broken, that you're not good
enough, that the algorithm hates you, that
6
:recruiters are ghosting you on purpose.
7
:And actually, the truth
is, it's none of that.
8
:You're just skipping a step, and
it's a very important step, but
9
:it only takes about 30 minutes.
10
:And once you do it, everything changes.
11
:It's called the mirror test, and if
you're applying to data analyst jobs
12
:in 2026, you need to do this before
you send another application out.
13
:Let me explain what it
is and why you need it.
14
:But if you're new here, hello,
my name is Avery Smith, and
15
:I'm a senior data analyst.
16
:And I'm on a quest to help one million
people land their first data job.
17
:So if that is you, which, let's be
honest, it is since you're listening
18
:to this already, go ahead and hit
subscribe to follow the journey.
19
:All right, here's the thing that nobody
applying to jobs ever stops to think
20
:about, and that is, how does the company
see hiring from their point of view?
21
:And the truth is, hiring is absolutely
terrible for the company and for the hire.
22
:I mean, think what they're about to do.
23
:They're about to take a complete
stranger, someone they randomly found
24
:on the internet, they talked to a
few times, and then they're going
25
:to hand that stranger the car keys.
26
:They're gonna give that stranger a salary,
sometimes a big salary, six figures.
27
:And they're going to give them access to
sensitive company data, a seat in internal
28
:meetings, a spot on a team that has to
actually work with this person every day,
29
:like, you have to deal with this coworker,
and they have to make that call based off
30
:of a simple PDF and a few conversations.
31
:That's literally it, you guys.
32
:That is all they get.
33
:And that's kind of a stressful
job because here's the kicker.
34
:Hiring managers will get
blamed for bad hires.
35
:It will hurt their reputation.
36
:It will hurt their team.
37
:It eats into their head count budget.
38
:And honestly, a bad hire can take,
like, six, eight, 12 months to undo.
39
:And in the meantime, everyone around
them is miserable and pissed off at them.
40
:Sometimes it can even cost
the hiring manager their job.
41
:It's that serious.
42
:So when a hiring manager or a recruiter
look at your resume, they're not
43
:really looking for reasons to say,
"Oh, this is a good candidate."
44
:No, they're looking for reasons to say,
"No, this is not the right candidate,"
45
:because no is safe, and saying yes is
sticking their neck out on the line, and
46
:that is very dangerous for them to do.
47
:Kind of like Hinge or Tinder or whatever
dating app you've used, or maybe you're
48
:like me and you've been married for
10-plus years now, but regardless, you're
49
:playing this game, this dating game, on
this app to see who you're gonna spend
50
:the rest of your life with, or at least
you're gonna spend a lot of time with.
51
:And when you're swiping,
you're not rejecting people
52
:because they're bad people.
53
:They're probably decent people,
but you're rejecting them because
54
:they're not the one for you.
55
:Now, you're making that judgment off
of six seconds, three photos, and a
56
:one-line bio to make that decision, but
the point here is any red flag is enough
57
:to keep you swiping and scrolling on
to the next person, because there is
58
:always another profile to take a look at.
59
:And that doesn't mean you're being mean.
60
:You're not being judgmental.
61
:It's just you're on a big mission.
62
:Who are you gonna spend your
time with on a time crunch?
63
:And you're moving on to the next person.
64
:There's nothing wrong with that.
65
:But realize that's the exact same
scenario that your recruiter's in.
66
:That's what your hiring manager is doing.
67
:They're essentially swiping left
and swiping right on potential job
68
:candidates with their job on the line.
69
:And you see, here's where
most job seekers get it wrong.
70
:You're sitting there, thinking, "But if
they would just get to know me, they'd
71
:know how smart I am and how hardworking
I am and how good of an analyst I am.
72
:They don't know me.
73
:They don't know my story."
74
:And you're 100% exactly correct.
75
:They don't.
76
:And that is exactly your job as
a job seeker, is to help them get
77
:to know you, because think of it.
78
:You've been being
yourself your entire life.
79
:You know yourself the best out
of everyone on planet Earth.
80
:You know your effort.
81
:You know your context.
82
:You know your potential.
83
:You know your story.
84
:And all the hiring manager and
recruiter have is this- Piece of
85
:paper, PDF resume, and six seconds.
86
:It's not fair, but it's your job to
actually go out there and make a PDF,
87
:a resume, that is so compelling that in
those six seconds it's going to portray
88
:you in the best light possible to get
them to spend more time on you, to
89
:actually take the time to get to know you.
90
:And the mirror test
exists to close that gap.
91
:So what is the mirror test?
92
:Well, the mirror test is checking
yourself digitally with clean, fresh eyes.
93
:You basically look at yourself the
way that a stressed out hiring manager
94
:with only six seconds and their entire
job on the line would look at you.
95
:And there are three different surfaces
you need to check for this test.
96
:Number one is your resume,
number two is your LinkedIn, and
97
:number three is your portfolio.
98
:And the rule is dead simple.
99
:Pretend you've never met this person,
this person being you as the job
100
:applicant, and pretend that you are
actually going to be hiring you.
101
:And I know that's really meta, but
think about it here, like, you're
102
:trying to decide if you want to let
this person come into your life.
103
:If you look at this resume, if you
look at this LinkedIn, if you look at
104
:this portfolio, would you trust them?
105
:Would you want to spend time with them?
106
:Are there any red flags?
107
:And would you be willing to put
your job on the line based off
108
:of their performance once hired?
109
:Let's go ahead and go through each one,
starting with number one, the resume.
110
:So your resume is the number one digital
asset you have as a job seeker, and
111
:you need to start treating it that way.
112
:It is an asset.
113
:It is going to work for you, so it's worth
the investment to spend the time to get
114
:this right because if you get it right,
it's going to work for you your whole
115
:job hunt cycle, or the dreaded, dreaded
ATS, the applicant tracking system.
116
:So here's what you need to do
right now, and that is, step one,
117
:run it through an ATS checker.
118
:Once again, the ATS or the applicant
tracking system is basically a
119
:software that reads your resume
before any human ever reads it.
120
:It's the computer.
121
:It's the AI that stands between
you and the hiring manager.
122
:And honestly, most resumes are designed
to be read by humans, not to be readable
123
:by software, but most resumes are
only read by software, unfortunately.
124
:I wish it wasn't the case,
but it's just how it is.
125
:An ATS parser or a resume checker
will show you exactly what the
126
:ATS sees when you apply for a job.
127
:And I promise you, you guys, if
your resume has anything weird like
128
:sidebars, fancy tables, columns,
icons, weird formatting, it's going
129
:to fail the ATS and you're literally
going to be completely invisible to
130
:the system and not get an interview.
131
:I just promise you that's
how it's going to be.
132
:So you need to check your resume right
now before you apply to any more jobs
133
:and see what it actually is seeing.
134
:And if you're not sure where to
find one, I actually made one for
135
:you that you can use for free.
136
:It's at findadat job.com/resume.
137
:And this is my data analyst job board,
and we created this resume checker
138
:for you guys for this very purpose,
to make sure that before you apply
139
:for any jobs on findadatjob.com
140
:or anywhere else, that your resume
is up to snuff and you're ready to
141
:actually get seen through the ATS.
142
:Step number two is the six-second test,
and basically, you need to open up your
143
:resume on your phone and set a timer.
144
:You're literally gonna look at it for
six seconds, and now close your phone.
145
:Now, what do you remember
from your own resume?
146
:What jumped out?
147
:What did you read?
148
:And what was the most
important thing that you saw?
149
:Now, give it to a friend, your mom,
your cousin, your neighbor, and
150
:have them do the exact same activity
and report back what they noticed.
151
:If data analyst isn't one of the
things that you remember or that
152
:you saw, you have a big problem.
153
:And if a specific tool like SQL,
Python, or Tableau wasn't abundantly
154
:clear, you have two big problems.
155
:And if a number or a result or impact
didn't catch your eye, then you have
156
:three big problems, because that is
what the hiring manager wants to see in
157
:those six seconds, those three things.
158
:So update your resume to make very
clear who you are, what your title
159
:is, what your skills are, and what
impact you've had in the past.
160
:Step number three is to match your
resume with a real job description.
161
:So you can pull up any job that you
actually want to apply to, bonus
162
:points if it's from findadayjob.com,
163
:and copy the job description and paste
it into Claude or ChatGPT alongside
164
:your resume and ask, "Hey, what is
this actually missing in my resume?
165
:What's a stretch?
166
:What would a manager see as
suspicious or as a red flag?"
167
:Or heck, you could even do it the
old school way for all I care.
168
:Print the job description out,
highlight every keyword and required
169
:skill, and then go to your resume
and highlight every match there.
170
:What's missing?
171
:How many keywords show up?
172
:What's in the job description
that's not in your resume?
173
:Because if there's a mismatch between
the two, you're not getting through
174
:the ATS, and it's as simple as that.
175
:Your resume is essentially
your dating app photos.
176
:If you have good photos, you're
gonna get a lot of swipe rights.
177
:If you have blurry, generic, ugly
photos or you're hiding the good
178
:stuff, you're gonna get swiped past
every time and not have a chance
179
:at actually going on any dates.
180
:It's true in the romance world, and
it's true in the corporate job world.
181
:You need to have good photos.
182
:You need to have a good resume.
183
:All right.
184
:The second mirror you need
to focus on is your LinkedIn,
185
:and this one is so easy to do.
186
:And for some reason, so many people
just don't think it's important.
187
:So go to your LinkedIn right now.
188
:So first off, do you have a LinkedIn?
189
:If so, good.
190
:If not, you need to make one today.
191
:Like, literally pause the
video and go make a LinkedIn.
192
:Seriously, go do it right now.
193
:Now look at your LinkedIn profile
and stare at it as a stranger would.
194
:What would you notice?
195
:Like, what would you actually think
about yourself if you were seeing
196
:this from a stranger's perspective?
197
:And here's a little bit of
a list about what to check.
198
:Number one is your headline.
199
:Does it say something like,
"Aspiring data analyst," or "Open
200
:to work/seeking opportunities"?
201
:Because honestly, one, those are super
generic, but two, it tells a recruiter
202
:that you don't have a job right now, which
means you might be higher risk because
203
:people who tend to be less risk tend to
hold onto their jobs a little bit longer.
204
:Whether that's true or not, I don't
know, but my point here is it's
205
:not what reality is, it's what is
being reflected in your profiles.
206
:It's what you are appearing to do.
207
:One of my favorite verses in the Bible
is 1 Thessalonians 5:22, which says,
208
:"Abstain from all appearance of evil."
209
:Now, notice it didn't say
abstain from all evil.
210
:It says abstain from all appearance
of evil, and that's my point with
211
:you guys here, is we wanna abstain
from anything, any red flags at all.
212
:Even if they're not red flags,
just the appearance of red flags,
213
:we gotta avoid those at all costs.
214
:So what should you put
in your headline instead?
215
:Well, you can say something like what you
actually do, which is you analyze data.
216
:So you are a data analyst today.
217
:Congratulations, you got the promotion.
218
:Data analyst, SQL, Py-
Python, Tableau, Excel.
219
:Put that on your headline even
if you're transitioning, 'cause
220
:you're gonna frame yourself for
the thing you want to be hired as.
221
:You make the recruiter and the hiring
manager decide how experienced you are.
222
:That is not your call.
223
:That is not your judgment.
224
:Number two, make sure
you have a good banner.
225
:Is it just the dumb gray
defaults, gray or blue banner?
226
:That is literally prime real
estate at the top of your profile.
227
:That's the first thing that people see.
228
:So put something interesting there.
229
:Project screenshot, your
tagline, anything that signals
230
:you're a serious data analyst.
231
:You can make these pretty easily in Canva,
and we have a whole set of templates
232
:inside of the accelerator program for
you literally to just copy when you join.
233
:Number three is your About section,
and the first three lines are the
234
:most important because that's all
that you see unless you click See
235
:More, and most people don't click.
236
:So, like, literally make those
three lines very interesting.
237
:Don't put some generic stuff.
238
:Don't put some just AI slop.
239
:Be interesting.
240
:Tell your story.
241
:This is your chance to actually
capture people's attention and get
242
:them to take a chance on you, take a
chance to look a little bit longer.
243
:Number four is your experience.
244
:Is your experience section up to date?
245
:Are there interesting bullet points
on each one of your different jobs?
246
:Is each job experience tied to
a company on LinkedIn and has
247
:the actual company logo there?
248
:It's these little things that add up
in your experience section to actually
249
:show that you've done really cool things
for really cool companies in the past.
250
:Number five is your featured section.
251
:This is so underutilized by
99% of LinkedIn profiles.
252
:If it's empty, it shouldn't be.
253
:You need to pin your best
projects, pin a post that went
254
:viral, pin a portfolio link.
255
:This section is really key for
recruiters to actually see how good
256
:you are, how many things you've done
in the past, and who you actually
257
:are Number seven is your activity.
258
:Are you posting?
259
:Are you commenting on other people's work?
260
:Or is it kind of just like a
ghost town with nothing from:
261
:A live profile signals a live candidate.
262
:Your LinkedIn is basically
the full dating profile, the
263
:headline, the photos, the bio.
264
:And here's the thing, 99% of
recruiters use LinkedIn, and not
265
:only do recruiters just use LinkedIn,
they will DM interesting candidates.
266
:So be interesting, and then
watch your inbox explode.
267
:The third mirror you need to think
about is your portfolio, and the first
268
:question is, heck, do you even have one?
269
:And if the answer is no, it's not
the end of the world, but you're
270
:missing out on a huge opportunity.
271
:Remember what I said at the beginning,
the hiring managers are literally trying
272
:to de-risk their decision in any way they
possibly can, and a portfolio is basically
273
:a risk reduction tool from your end.
274
:It's the thing that takes you from,
"Hey, this person says that they
275
:can actually do SQL and Tableau and
Power BI," to, "Wow, this person has
276
:actually done the work previously, and
there's tangible proof right here."
277
:It's basically extra information
about yourself, and in a market
278
:that's so competitive today, extra
information is literally everything.
279
:You need to cling to it like
your life depends on it.
280
:So I think you should have a portfolio
if you don't have one already.
281
:And if you don't know how or
why or where to make one, you
282
:can check out mydatafolio.com,
283
:and it's my very own
portfolio hosting website.
284
:I designed it specifically for
people like you, for data analysts
285
:who want to land a data job.
286
:So link in the description down below.
287
:Now, for all my overachievers out there,
if you have a portfolio already, the
288
:question is, is it really, really, really
ridiculously easy to read and to scan?
289
:Do a ten-second test.
290
:Send your portfolio link to a
friend and watch them open it, like
291
:literally from behind their shoulders.
292
:Where do their eyes go?
293
:Where do they get confused?
294
:Where do they click?
295
:Where do they get bored?
296
:What do they actually do on their
portfolio, and is it really sending
297
:the right message that you want to
send to hiring managers and recruiters?
298
:For instance, you want to see, does
your homepage tell enough about
299
:you in those first five seconds?
300
:It's not your life story, but it's
also just not, like, your name.
301
:You need to explain who
you are and what you do.
302
:Data analysts in this
industry using these tools.
303
:That's pretty much it.
304
:That's all you need.
305
:Number two, can I scan one project
and understand it almost immediately?
306
:Like, what's the problem,
what's the approach, what's
307
:the insight, what's the impact?
308
:Those four things.
309
:If I have to scroll through like a
bajillion things to get all of those,
310
:then that's probably not good enough.
311
:But it also shouldn't
just be like three lines.
312
:It should be somewhere in between.
313
:And also, if I have to click through
like five different pages before I
314
:actually get to any sort of work or
visualization, you've completely lost me.
315
:And hint, that's one of the reasons
I hate GitHub as a portfolio,
316
:but that's for another episode.
317
:Number three, are your projects
business problems or are
318
:they more tutorial data sets?
319
:So if the only project that you've
really got on there is the city
320
:bike center and the Titanic data
set, that's not really good.
321
:You want to do something
that's more interesting.
322
:Go find a real problem with real
data, a local business, a public
323
:data set no one's even looking at,
something with like more stakes, with
324
:more realistic, you know, entities.
325
:And lastly, number four, can
I contact you in one click?
326
:Don't make me hunt for your
email, hunt for your phone
327
:number, hunt for your LinkedIn.
328
:Those things should be so abundantly
clear that I can just click,
329
:boom, and then talk to you, and
then hopefully hire you, right?
330
:The rule is simplicity.
331
:A confused hiring manager is the
hiring manager that closes the tab
332
:and goes with another candidate.
333
:And at this point, if they're looking
at your portfolio, you're already
334
:so close to having that swipe right.
335
:Their thumb's literally on the green
arrow and they're thinking about it.
336
:This is just like the last thirst trap
picture you need to get that thumb to
337
:the right, and if you have it, you'll
get those swipes and you'll get those
338
:calls, and you'll get those offers.
339
:If you don't have it, who knows?
340
:You're leaving it up to chance.
341
:And really, this is the mindset shift I
want you to take away from this episode.
342
:You're not a bad data analyst.
343
:In fact, you're probably a great one.
344
:So we aren't changing who you are.
345
:We are changing what they see, because you
might be appearing as a bad data analyst
346
:based off your digital profiles, even
though you're a fantastic data analyst.
347
:But you can literally fix that
today with the mirror test.
348
:Look at your resume, your
LinkedIn, and your portfolio
349
:with clean eyes, six seconds.
350
:In a blink of an eye, would a stranger
take a chance on you, yes or no?
351
:If the answer is yes, great.
352
:Go back to applying.
353
:You're doing great.
354
:If the answer is no, well, you need
to fix it, and if you want help fixing
355
:it, that's exactly what we do in my
bootcamp, Data Analytics Accelerator.
356
:You can learn more about it by clicking
the link in the description down below.
357
:You guys got this, I promise.
358
:Mirror test, fix, apply, and
I'll see you in the next one.