Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away!
Open your resume right now. Would you hire yourself? Because a recruiter just spent six seconds on it and moved on.
💌 Join 33k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://datacareerjumpstart.com/newsletter
🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://datacareerjumpstart.com/training
👩💻 Want to land a data job in less than 90 days? 👉 https://datacareerjumpstart.com/daa
👔 Ace The Interview with Confidence 👉 https://datacareerjumpstart.com/interviewsimulator
🔍 Looking for data analyst jobs nobody else is applying to? 👉 https://findadatajob.com
📄 Want to know if your resume is actually getting read? 👉 https://findadatajob.com/resume
💼 Ready to build a portfolio that gets you hired? 👉 https://mydatafolio.com
⌚ 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
🔗 CONNECT WITH AVERY
🎵 TikTok
💻 Website
Mentioned in this episode:
October Cohort of The Accelerator Starts on October 12th
Land your first data job ASAP with The Accelerator. And for this cohort only, get a discount PLUS our premium job board software PLUS our live AI workshops on how to analyze data Learn more here: https://datacareerjumpstart.com/daa
https://datacareerjumpstart.com/daa
Live "How to Become a Data Analyst" Webinar
Come learn the EXACT roadmap to landing your first data job: https://web.datacareerjumpstart.com/webinar
I'm begging you, stop applying
to data analyst jobs at least
2
00:00:04,670 --> 00:00:06,680
until you do this one thing.
3
00:00:06,760 --> 00:00:11,190
Look, if you sent out 50 applications,
100 applications, 200 applications, and
4
00:00:11,190 --> 00:00:15,009
you're getting absolutely nothing back,
I know what you're telling yourself, that
5
00:00:15,010 --> 00:00:18,849
the market is broken, that you're not good
enough, that the algorithm hates you, that
6
00:00:18,849 --> 00:00:20,660
recruiters are ghosting you on purpose.
7
00:00:21,050 --> 00:00:23,470
And actually, the truth
is, it's none of that.
8
00:00:23,480 --> 00:00:26,450
You're just skipping a step, and
it's a very important step, but
9
00:00:26,450 --> 00:00:28,070
it only takes about 30 minutes.
10
00:00:28,079 --> 00:00:30,309
And once you do it, everything changes.
11
00:00:30,360 --> 00:00:34,219
It's called the mirror test, and if
you're applying to data analyst jobs
12
00:00:34,249 --> 00:00:38,760
in 2026, you need to do this before
you send another application out.
13
00:00:38,830 --> 00:00:41,070
Let me explain what it
is and why you need it.
14
00:00:41,180 --> 00:00:43,750
But if you're new here, hello,
my name is Avery Smith, and
15
00:00:43,750 --> 00:00:44,909
I'm a senior data analyst.
16
00:00:44,910 --> 00:00:48,900
And I'm on a quest to help one million
people land their first data job.
17
00:00:49,180 --> 00:00:52,849
So if that is you, which, let's be
honest, it is since you're listening
18
00:00:52,860 --> 00:00:56,190
to this already, go ahead and hit
subscribe to follow the journey.
19
00:00:56,230 --> 00:01:00,360
All right, here's the thing that nobody
applying to jobs ever stops to think
20
00:01:00,370 --> 00:01:05,269
about, and that is, how does the company
see hiring from their point of view?
21
00:01:05,582 --> 00:01:10,622
And the truth is, hiring is absolutely
terrible for the company and for the hire.
22
00:01:10,622 --> 00:01:13,051
I mean, think what they're about to do.
23
00:01:13,092 --> 00:01:17,261
They're about to take a complete
stranger, someone they randomly found
24
00:01:17,502 --> 00:01:20,991
on the internet, they talked to a
few times, and then they're going
25
00:01:20,991 --> 00:01:23,381
to hand that stranger the car keys.
26
00:01:23,381 --> 00:01:27,401
They're gonna give that stranger a salary,
sometimes a big salary, six figures.
27
00:01:27,422 --> 00:01:31,822
And they're going to give them access to
sensitive company data, a seat in internal
28
00:01:31,822 --> 00:01:36,061
meetings, a spot on a team that has to
actually work with this person every day,
29
00:01:36,091 --> 00:01:39,892
like, you have to deal with this coworker,
and they have to make that call based off
30
00:01:39,892 --> 00:01:42,651
of a simple PDF and a few conversations.
31
00:01:42,661 --> 00:01:44,222
That's literally it, you guys.
32
00:01:44,262 --> 00:01:45,322
That is all they get.
33
00:01:45,392 --> 00:01:48,651
And that's kind of a stressful
job because here's the kicker.
34
00:01:48,692 --> 00:01:51,702
Hiring managers will get
blamed for bad hires.
35
00:01:51,931 --> 00:01:53,332
It will hurt their reputation.
36
00:01:53,341 --> 00:01:54,612
It will hurt their team.
37
00:01:54,841 --> 00:01:56,392
It eats into their head count budget.
38
00:01:56,631 --> 00:02:01,491
And honestly, a bad hire can take,
like, six, eight, 12 months to undo.
39
00:02:01,602 --> 00:02:05,582
And in the meantime, everyone around
them is miserable and pissed off at them.
40
00:02:05,672 --> 00:02:08,512
Sometimes it can even cost
the hiring manager their job.
41
00:02:08,550 --> 00:02:09,740
It's that serious.
42
00:02:09,752 --> 00:02:13,542
So when a hiring manager or a recruiter
look at your resume, they're not
43
00:02:13,601 --> 00:02:16,721
really looking for reasons to say,
"Oh, this is a good candidate."
44
00:02:16,781 --> 00:02:20,522
No, they're looking for reasons to say,
"No, this is not the right candidate,"
45
00:02:20,572 --> 00:02:24,962
because no is safe, and saying yes is
sticking their neck out on the line, and
46
00:02:24,962 --> 00:02:26,922
that is very dangerous for them to do.
47
00:02:27,091 --> 00:02:30,771
Kind of like Hinge or Tinder or whatever
dating app you've used, or maybe you're
48
00:02:30,772 --> 00:02:34,471
like me and you've been married for
10-plus years now, but regardless, you're
49
00:02:34,482 --> 00:02:38,212
playing this game, this dating game, on
this app to see who you're gonna spend
50
00:02:38,212 --> 00:02:41,172
the rest of your life with, or at least
you're gonna spend a lot of time with.
51
00:02:41,312 --> 00:02:43,362
And when you're swiping,
you're not rejecting people
52
00:02:43,362 --> 00:02:44,661
because they're bad people.
53
00:02:44,661 --> 00:02:47,321
They're probably decent people,
but you're rejecting them because
54
00:02:47,341 --> 00:02:48,971
they're not the one for you.
55
00:02:49,042 --> 00:02:52,721
Now, you're making that judgment off
of six seconds, three photos, and a
56
00:02:52,721 --> 00:02:57,031
one-line bio to make that decision, but
the point here is any red flag is enough
57
00:02:57,031 --> 00:03:00,152
to keep you swiping and scrolling on
to the next person, because there is
58
00:03:00,221 --> 00:03:02,971
always another profile to take a look at.
59
00:03:03,011 --> 00:03:04,561
And that doesn't mean you're being mean.
60
00:03:04,572 --> 00:03:05,902
You're not being judgmental.
61
00:03:05,931 --> 00:03:07,641
It's just you're on a big mission.
62
00:03:07,652 --> 00:03:10,362
Who are you gonna spend your
time with on a time crunch?
63
00:03:10,402 --> 00:03:11,951
And you're moving on to the next person.
64
00:03:11,951 --> 00:03:12,952
There's nothing wrong with that.
65
00:03:13,002 --> 00:03:16,382
But realize that's the exact same
scenario that your recruiter's in.
66
00:03:16,422 --> 00:03:18,302
That's what your hiring manager is doing.
67
00:03:18,332 --> 00:03:21,252
They're essentially swiping left
and swiping right on potential job
68
00:03:21,252 --> 00:03:23,751
candidates with their job on the line.
69
00:03:23,832 --> 00:03:26,402
And you see, here's where
most job seekers get it wrong.
70
00:03:26,431 --> 00:03:29,591
You're sitting there, thinking, "But if
they would just get to know me, they'd
71
00:03:29,591 --> 00:03:32,921
know how smart I am and how hardworking
I am and how good of an analyst I am.
72
00:03:32,971 --> 00:03:33,682
They don't know me.
73
00:03:33,712 --> 00:03:34,762
They don't know my story."
74
00:03:34,811 --> 00:03:38,052
And you're 100% exactly correct.
75
00:03:38,192 --> 00:03:38,941
They don't.
76
00:03:39,072 --> 00:03:43,482
And that is exactly your job as
a job seeker, is to help them get
77
00:03:43,531 --> 00:03:45,022
to know you, because think of it.
78
00:03:45,082 --> 00:03:47,692
You've been being
yourself your entire life.
79
00:03:47,701 --> 00:03:50,392
You know yourself the best out
of everyone on planet Earth.
80
00:03:50,402 --> 00:03:51,161
You know your effort.
81
00:03:51,162 --> 00:03:52,072
You know your context.
82
00:03:52,072 --> 00:03:52,872
You know your potential.
83
00:03:52,872 --> 00:03:53,731
You know your story.
84
00:03:53,762 --> 00:03:56,712
And all the hiring manager and
recruiter have is this- Piece of
85
00:03:56,712 --> 00:03:59,082
paper, PDF resume, and six seconds.
86
00:03:59,112 --> 00:04:03,242
It's not fair, but it's your job to
actually go out there and make a PDF,
87
00:04:03,281 --> 00:04:07,431
a resume, that is so compelling that in
those six seconds it's going to portray
88
00:04:07,431 --> 00:04:11,112
you in the best light possible to get
them to spend more time on you, to
89
00:04:11,112 --> 00:04:13,061
actually take the time to get to know you.
90
00:04:13,061 --> 00:04:15,632
And the mirror test
exists to close that gap.
91
00:04:15,672 --> 00:04:16,962
So what is the mirror test?
92
00:04:16,971 --> 00:04:21,452
Well, the mirror test is checking
yourself digitally with clean, fresh eyes.
93
00:04:21,491 --> 00:04:25,032
You basically look at yourself the
way that a stressed out hiring manager
94
00:04:25,122 --> 00:04:29,102
with only six seconds and their entire
job on the line would look at you.
95
00:04:29,162 --> 00:04:32,191
And there are three different surfaces
you need to check for this test.
96
00:04:32,241 --> 00:04:35,702
Number one is your resume,
number two is your LinkedIn, and
97
00:04:35,702 --> 00:04:37,312
number three is your portfolio.
98
00:04:37,352 --> 00:04:38,991
And the rule is dead simple.
99
00:04:39,002 --> 00:04:42,522
Pretend you've never met this person,
this person being you as the job
100
00:04:42,522 --> 00:04:46,222
applicant, and pretend that you are
actually going to be hiring you.
101
00:04:46,252 --> 00:04:48,611
And I know that's really meta, but
think about it here, like, you're
102
00:04:48,611 --> 00:04:51,632
trying to decide if you want to let
this person come into your life.
103
00:04:51,652 --> 00:04:53,532
If you look at this resume, if you
look at this LinkedIn, if you look at
104
00:04:53,532 --> 00:04:55,352
this portfolio, would you trust them?
105
00:04:55,361 --> 00:04:56,741
Would you want to spend time with them?
106
00:04:56,782 --> 00:04:57,982
Are there any red flags?
107
00:04:58,032 --> 00:05:00,722
And would you be willing to put
your job on the line based off
108
00:05:00,722 --> 00:05:02,551
of their performance once hired?
109
00:05:02,621 --> 00:05:06,272
Let's go ahead and go through each one,
starting with number one, the resume.
110
00:05:06,351 --> 00:05:11,202
So your resume is the number one digital
asset you have as a job seeker, and
111
00:05:11,202 --> 00:05:12,652
you need to start treating it that way.
112
00:05:12,682 --> 00:05:14,182
It is an asset.
113
00:05:14,232 --> 00:05:18,662
It is going to work for you, so it's worth
the investment to spend the time to get
114
00:05:18,662 --> 00:05:21,732
this right because if you get it right,
it's going to work for you your whole
115
00:05:21,741 --> 00:05:26,472
job hunt cycle, or the dreaded, dreaded
ATS, the applicant tracking system.
116
00:05:26,511 --> 00:05:29,682
So here's what you need to do
right now, and that is, step one,
117
00:05:29,741 --> 00:05:31,932
run it through an ATS checker.
118
00:05:31,962 --> 00:05:35,282
Once again, the ATS or the applicant
tracking system is basically a
119
00:05:35,282 --> 00:05:39,882
software that reads your resume
before any human ever reads it.
120
00:05:39,902 --> 00:05:40,821
It's the computer.
121
00:05:40,822 --> 00:05:43,651
It's the AI that stands between
you and the hiring manager.
122
00:05:43,702 --> 00:05:48,632
And honestly, most resumes are designed
to be read by humans, not to be readable
123
00:05:48,632 --> 00:05:53,062
by software, but most resumes are
only read by software, unfortunately.
124
00:05:53,072 --> 00:05:55,432
I wish it wasn't the case,
but it's just how it is.
125
00:05:55,512 --> 00:05:59,551
An ATS parser or a resume checker
will show you exactly what the
126
00:05:59,551 --> 00:06:01,532
ATS sees when you apply for a job.
127
00:06:01,601 --> 00:06:04,712
And I promise you, you guys, if
your resume has anything weird like
128
00:06:04,712 --> 00:06:09,371
sidebars, fancy tables, columns,
icons, weird formatting, it's going
129
00:06:09,381 --> 00:06:13,972
to fail the ATS and you're literally
going to be completely invisible to
130
00:06:13,972 --> 00:06:15,952
the system and not get an interview.
131
00:06:15,982 --> 00:06:17,772
I just promise you that's
how it's going to be.
132
00:06:17,842 --> 00:06:21,672
So you need to check your resume right
now before you apply to any more jobs
133
00:06:21,692 --> 00:06:24,092
and see what it actually is seeing.
134
00:06:24,142 --> 00:06:27,472
And if you're not sure where to
find one, I actually made one for
135
00:06:27,472 --> 00:06:28,912
you that you can use for free.
136
00:06:28,942 --> 00:06:31,972
It's at findadat job.com/resume.
137
00:06:32,101 --> 00:06:35,592
And this is my data analyst job board,
and we created this resume checker
138
00:06:35,592 --> 00:06:38,341
for you guys for this very purpose,
to make sure that before you apply
139
00:06:38,341 --> 00:06:40,712
for any jobs on findadatjob.com
140
00:06:40,712 --> 00:06:44,322
or anywhere else, that your resume
is up to snuff and you're ready to
141
00:06:44,332 --> 00:06:46,272
actually get seen through the ATS.
142
00:06:46,510 --> 00:06:50,340
Step number two is the six-second test,
and basically, you need to open up your
143
00:06:50,340 --> 00:06:52,539
resume on your phone and set a timer.
144
00:06:52,570 --> 00:06:56,370
You're literally gonna look at it for
six seconds, and now close your phone.
145
00:06:56,420 --> 00:06:58,300
Now, what do you remember
from your own resume?
146
00:06:58,310 --> 00:06:59,080
What jumped out?
147
00:06:59,090 --> 00:06:59,980
What did you read?
148
00:07:00,019 --> 00:07:02,399
And what was the most
important thing that you saw?
149
00:07:02,479 --> 00:07:05,280
Now, give it to a friend, your mom,
your cousin, your neighbor, and
150
00:07:05,280 --> 00:07:09,449
have them do the exact same activity
and report back what they noticed.
151
00:07:09,489 --> 00:07:12,670
If data analyst isn't one of the
things that you remember or that
152
00:07:12,670 --> 00:07:14,590
you saw, you have a big problem.
153
00:07:14,640 --> 00:07:18,020
And if a specific tool like SQL,
Python, or Tableau wasn't abundantly
154
00:07:18,020 --> 00:07:19,899
clear, you have two big problems.
155
00:07:19,950 --> 00:07:23,570
And if a number or a result or impact
didn't catch your eye, then you have
156
00:07:23,570 --> 00:07:26,920
three big problems, because that is
what the hiring manager wants to see in
157
00:07:26,920 --> 00:07:29,190
those six seconds, those three things.
158
00:07:29,250 --> 00:07:32,990
So update your resume to make very
clear who you are, what your title
159
00:07:32,990 --> 00:07:36,240
is, what your skills are, and what
impact you've had in the past.
160
00:07:36,462 --> 00:07:39,912
Step number three is to match your
resume with a real job description.
161
00:07:39,912 --> 00:07:43,111
So you can pull up any job that you
actually want to apply to, bonus
162
00:07:43,111 --> 00:07:45,202
points if it's from findadayjob.com,
163
00:07:45,262 --> 00:07:49,342
and copy the job description and paste
it into Claude or ChatGPT alongside
164
00:07:49,342 --> 00:07:52,272
your resume and ask, "Hey, what is
this actually missing in my resume?
165
00:07:52,272 --> 00:07:53,121
What's a stretch?
166
00:07:53,161 --> 00:07:55,622
What would a manager see as
suspicious or as a red flag?"
167
00:07:55,632 --> 00:07:58,072
Or heck, you could even do it the
old school way for all I care.
168
00:07:58,102 --> 00:08:01,082
Print the job description out,
highlight every keyword and required
169
00:08:01,082 --> 00:08:04,632
skill, and then go to your resume
and highlight every match there.
170
00:08:04,641 --> 00:08:05,482
What's missing?
171
00:08:05,491 --> 00:08:06,551
How many keywords show up?
172
00:08:06,592 --> 00:08:09,082
What's in the job description
that's not in your resume?
173
00:08:09,121 --> 00:08:11,891
Because if there's a mismatch between
the two, you're not getting through
174
00:08:11,892 --> 00:08:13,462
the ATS, and it's as simple as that.
175
00:08:13,512 --> 00:08:16,092
Your resume is essentially
your dating app photos.
176
00:08:16,121 --> 00:08:19,352
If you have good photos, you're
gonna get a lot of swipe rights.
177
00:08:19,382 --> 00:08:22,942
If you have blurry, generic, ugly
photos or you're hiding the good
178
00:08:22,942 --> 00:08:26,252
stuff, you're gonna get swiped past
every time and not have a chance
179
00:08:26,252 --> 00:08:27,832
at actually going on any dates.
180
00:08:27,871 --> 00:08:31,621
It's true in the romance world, and
it's true in the corporate job world.
181
00:08:31,652 --> 00:08:32,732
You need to have good photos.
182
00:08:32,741 --> 00:08:33,692
You need to have a good resume.
183
00:08:33,702 --> 00:08:34,052
All right.
184
00:08:34,062 --> 00:08:36,812
The second mirror you need
to focus on is your LinkedIn,
185
00:08:36,812 --> 00:08:39,152
and this one is so easy to do.
186
00:08:39,182 --> 00:08:41,861
And for some reason, so many people
just don't think it's important.
187
00:08:41,861 --> 00:08:43,241
So go to your LinkedIn right now.
188
00:08:43,241 --> 00:08:44,790
So first off, do you have a LinkedIn?
189
00:08:44,882 --> 00:08:45,932
If so, good.
190
00:08:46,101 --> 00:08:47,652
If not, you need to make one today.
191
00:08:47,661 --> 00:08:49,432
Like, literally pause the
video and go make a LinkedIn.
192
00:08:49,432 --> 00:08:50,632
Seriously, go do it right now.
193
00:08:50,682 --> 00:08:54,212
Now look at your LinkedIn profile
and stare at it as a stranger would.
194
00:08:54,222 --> 00:08:55,202
What would you notice?
195
00:08:55,222 --> 00:08:58,112
Like, what would you actually think
about yourself if you were seeing
196
00:08:58,112 --> 00:09:00,032
this from a stranger's perspective?
197
00:09:00,042 --> 00:09:02,201
And here's a little bit of
a list about what to check.
198
00:09:02,261 --> 00:09:03,401
Number one is your headline.
199
00:09:03,412 --> 00:09:06,521
Does it say something like,
"Aspiring data analyst," or "Open
200
00:09:06,521 --> 00:09:08,202
to work/seeking opportunities"?
201
00:09:08,202 --> 00:09:11,452
Because honestly, one, those are super
generic, but two, it tells a recruiter
202
00:09:11,452 --> 00:09:14,531
that you don't have a job right now, which
means you might be higher risk because
203
00:09:14,552 --> 00:09:17,511
people who tend to be less risk tend to
hold onto their jobs a little bit longer.
204
00:09:17,521 --> 00:09:20,102
Whether that's true or not, I don't
know, but my point here is it's
205
00:09:20,112 --> 00:09:24,322
not what reality is, it's what is
being reflected in your profiles.
206
00:09:24,331 --> 00:09:26,382
It's what you are appearing to do.
207
00:09:26,402 --> 00:09:31,372
One of my favorite verses in the Bible
is 1 Thessalonians 5:22, which says,
208
00:09:31,432 --> 00:09:33,912
"Abstain from all appearance of evil."
209
00:09:33,942 --> 00:09:36,112
Now, notice it didn't say
abstain from all evil.
210
00:09:36,112 --> 00:09:39,521
It says abstain from all appearance
of evil, and that's my point with
211
00:09:39,521 --> 00:09:42,892
you guys here, is we wanna abstain
from anything, any red flags at all.
212
00:09:42,912 --> 00:09:45,922
Even if they're not red flags,
just the appearance of red flags,
213
00:09:45,962 --> 00:09:47,432
we gotta avoid those at all costs.
214
00:09:47,442 --> 00:09:49,212
So what should you put
in your headline instead?
215
00:09:49,232 --> 00:09:52,802
Well, you can say something like what you
actually do, which is you analyze data.
216
00:09:52,802 --> 00:09:53,982
So you are a data analyst today.
217
00:09:53,982 --> 00:09:55,461
Congratulations, you got the promotion.
218
00:09:55,521 --> 00:09:58,614
Data analyst, SQL, Py-
Python, Tableau, Excel.
219
00:09:58,664 --> 00:10:00,824
Put that on your headline even
if you're transitioning, 'cause
220
00:10:00,824 --> 00:10:03,804
you're gonna frame yourself for
the thing you want to be hired as.
221
00:10:03,834 --> 00:10:07,274
You make the recruiter and the hiring
manager decide how experienced you are.
222
00:10:07,353 --> 00:10:08,344
That is not your call.
223
00:10:08,344 --> 00:10:09,634
That is not your judgment.
224
00:10:09,693 --> 00:10:11,504
Number two, make sure
you have a good banner.
225
00:10:11,523 --> 00:10:14,544
Is it just the dumb gray
defaults, gray or blue banner?
226
00:10:14,614 --> 00:10:18,274
That is literally prime real
estate at the top of your profile.
227
00:10:18,314 --> 00:10:19,464
That's the first thing that people see.
228
00:10:19,464 --> 00:10:20,804
So put something interesting there.
229
00:10:20,924 --> 00:10:23,574
Project screenshot, your
tagline, anything that signals
230
00:10:23,584 --> 00:10:25,264
you're a serious data analyst.
231
00:10:25,304 --> 00:10:28,674
You can make these pretty easily in Canva,
and we have a whole set of templates
232
00:10:28,693 --> 00:10:32,174
inside of the accelerator program for
you literally to just copy when you join.
233
00:10:32,204 --> 00:10:35,344
Number three is your About section,
and the first three lines are the
234
00:10:35,344 --> 00:10:38,344
most important because that's all
that you see unless you click See
235
00:10:38,344 --> 00:10:39,554
More, and most people don't click.
236
00:10:39,554 --> 00:10:42,404
So, like, literally make those
three lines very interesting.
237
00:10:42,404 --> 00:10:43,614
Don't put some generic stuff.
238
00:10:43,614 --> 00:10:44,984
Don't put some just AI slop.
239
00:10:44,994 --> 00:10:45,674
Be interesting.
240
00:10:45,674 --> 00:10:46,384
Tell your story.
241
00:10:46,443 --> 00:10:49,583
This is your chance to actually
capture people's attention and get
242
00:10:49,583 --> 00:10:52,614
them to take a chance on you, take a
chance to look a little bit longer.
243
00:10:52,684 --> 00:10:54,804
Number four is your experience.
244
00:10:54,854 --> 00:10:56,214
Is your experience section up to date?
245
00:10:56,254 --> 00:10:59,294
Are there interesting bullet points
on each one of your different jobs?
246
00:10:59,464 --> 00:11:02,644
Is each job experience tied to
a company on LinkedIn and has
247
00:11:02,644 --> 00:11:04,144
the actual company logo there?
248
00:11:04,193 --> 00:11:07,174
It's these little things that add up
in your experience section to actually
249
00:11:07,174 --> 00:11:10,814
show that you've done really cool things
for really cool companies in the past.
250
00:11:10,884 --> 00:11:12,784
Number five is your featured section.
251
00:11:12,844 --> 00:11:16,614
This is so underutilized by
99% of LinkedIn profiles.
252
00:11:16,844 --> 00:11:18,344
If it's empty, it shouldn't be.
253
00:11:18,523 --> 00:11:20,974
You need to pin your best
projects, pin a post that went
254
00:11:20,974 --> 00:11:22,774
viral, pin a portfolio link.
255
00:11:22,794 --> 00:11:26,304
This section is really key for
recruiters to actually see how good
256
00:11:26,304 --> 00:11:29,464
you are, how many things you've done
in the past, and who you actually
257
00:11:29,464 --> 00:11:31,271
are Number seven is your activity.
258
00:11:31,332 --> 00:11:32,182
Are you posting?
259
00:11:32,242 --> 00:11:33,712
Are you commenting on other people's work?
260
00:11:33,762 --> 00:11:36,742
Or is it kind of just like a
ghost town with nothing from 2017?
261
00:11:36,812 --> 00:11:39,222
A live profile signals a live candidate.
262
00:11:39,301 --> 00:11:41,862
Your LinkedIn is basically
the full dating profile, the
263
00:11:41,862 --> 00:11:43,611
headline, the photos, the bio.
264
00:11:43,671 --> 00:11:47,312
And here's the thing, 99% of
recruiters use LinkedIn, and not
265
00:11:47,312 --> 00:11:52,222
only do recruiters just use LinkedIn,
they will DM interesting candidates.
266
00:11:52,222 --> 00:11:55,771
So be interesting, and then
watch your inbox explode.
267
00:11:55,832 --> 00:11:59,012
The third mirror you need to think
about is your portfolio, and the first
268
00:11:59,012 --> 00:12:01,081
question is, heck, do you even have one?
269
00:12:01,102 --> 00:12:04,472
And if the answer is no, it's not
the end of the world, but you're
270
00:12:04,472 --> 00:12:06,602
missing out on a huge opportunity.
271
00:12:06,641 --> 00:12:10,082
Remember what I said at the beginning,
the hiring managers are literally trying
272
00:12:10,202 --> 00:12:14,612
to de-risk their decision in any way they
possibly can, and a portfolio is basically
273
00:12:14,641 --> 00:12:16,881
a risk reduction tool from your end.
274
00:12:16,901 --> 00:12:20,051
It's the thing that takes you from,
"Hey, this person says that they
275
00:12:20,051 --> 00:12:23,921
can actually do SQL and Tableau and
Power BI," to, "Wow, this person has
276
00:12:23,951 --> 00:12:28,012
actually done the work previously, and
there's tangible proof right here."
277
00:12:28,062 --> 00:12:31,202
It's basically extra information
about yourself, and in a market
278
00:12:31,202 --> 00:12:34,742
that's so competitive today, extra
information is literally everything.
279
00:12:34,742 --> 00:12:37,631
You need to cling to it like
your life depends on it.
280
00:12:37,661 --> 00:12:40,711
So I think you should have a portfolio
if you don't have one already.
281
00:12:40,752 --> 00:12:44,031
And if you don't know how or
why or where to make one, you
282
00:12:44,031 --> 00:12:46,712
can check out mydatafolio.com,
283
00:12:46,811 --> 00:12:49,582
and it's my very own
portfolio hosting website.
284
00:12:49,612 --> 00:12:52,790
I designed it specifically for
people like you, for data analysts
285
00:12:52,790 --> 00:12:54,182
who want to land a data job.
286
00:12:54,211 --> 00:12:56,371
So link in the description down below.
287
00:12:56,442 --> 00:12:59,721
Now, for all my overachievers out there,
if you have a portfolio already, the
288
00:12:59,722 --> 00:13:05,771
question is, is it really, really, really
ridiculously easy to read and to scan?
289
00:13:05,781 --> 00:13:07,151
Do a ten-second test.
290
00:13:07,406 --> 00:13:10,266
Send your portfolio link to a
friend and watch them open it, like
291
00:13:10,286 --> 00:13:11,665
literally from behind their shoulders.
292
00:13:11,705 --> 00:13:12,626
Where do their eyes go?
293
00:13:12,626 --> 00:13:13,596
Where do they get confused?
294
00:13:13,596 --> 00:13:14,246
Where do they click?
295
00:13:14,246 --> 00:13:15,276
Where do they get bored?
296
00:13:15,335 --> 00:13:18,736
What do they actually do on their
portfolio, and is it really sending
297
00:13:18,736 --> 00:13:21,795
the right message that you want to
send to hiring managers and recruiters?
298
00:13:21,935 --> 00:13:24,866
For instance, you want to see, does
your homepage tell enough about
299
00:13:24,866 --> 00:13:26,036
you in those first five seconds?
300
00:13:26,036 --> 00:13:28,925
It's not your life story, but it's
also just not, like, your name.
301
00:13:28,965 --> 00:13:31,585
You need to explain who
you are and what you do.
302
00:13:31,646 --> 00:13:34,746
Data analysts in this
industry using these tools.
303
00:13:34,815 --> 00:13:35,526
That's pretty much it.
304
00:13:35,565 --> 00:13:36,026
That's all you need.
305
00:13:36,136 --> 00:13:40,305
Number two, can I scan one project
and understand it almost immediately?
306
00:13:40,346 --> 00:13:42,075
Like, what's the problem,
what's the approach, what's
307
00:13:42,075 --> 00:13:43,386
the insight, what's the impact?
308
00:13:43,415 --> 00:13:44,295
Those four things.
309
00:13:44,325 --> 00:13:47,445
If I have to scroll through like a
bajillion things to get all of those,
310
00:13:47,496 --> 00:13:48,996
then that's probably not good enough.
311
00:13:49,006 --> 00:13:50,835
But it also shouldn't
just be like three lines.
312
00:13:50,835 --> 00:13:52,266
It should be somewhere in between.
313
00:13:52,305 --> 00:13:54,896
And also, if I have to click through
like five different pages before I
314
00:13:54,896 --> 00:13:58,325
actually get to any sort of work or
visualization, you've completely lost me.
315
00:13:58,396 --> 00:14:01,656
And hint, that's one of the reasons
I hate GitHub as a portfolio,
316
00:14:01,656 --> 00:14:03,425
but that's for another episode.
317
00:14:03,425 --> 00:14:06,656
Number three, are your projects
business problems or are
318
00:14:06,656 --> 00:14:08,246
they more tutorial data sets?
319
00:14:08,256 --> 00:14:10,505
So if the only project that you've
really got on there is the city
320
00:14:10,505 --> 00:14:13,415
bike center and the Titanic data
set, that's not really good.
321
00:14:13,425 --> 00:14:15,575
You want to do something
that's more interesting.
322
00:14:15,585 --> 00:14:19,045
Go find a real problem with real
data, a local business, a public
323
00:14:19,045 --> 00:14:21,955
data set no one's even looking at,
something with like more stakes, with
324
00:14:21,955 --> 00:14:24,256
more realistic, you know, entities.
325
00:14:24,305 --> 00:14:27,516
And lastly, number four, can
I contact you in one click?
326
00:14:27,536 --> 00:14:29,545
Don't make me hunt for your
email, hunt for your phone
327
00:14:29,555 --> 00:14:30,526
number, hunt for your LinkedIn.
328
00:14:30,555 --> 00:14:33,736
Those things should be so abundantly
clear that I can just click,
329
00:14:33,766 --> 00:14:36,496
boom, and then talk to you, and
then hopefully hire you, right?
330
00:14:36,535 --> 00:14:38,065
The rule is simplicity.
331
00:14:38,106 --> 00:14:41,475
A confused hiring manager is the
hiring manager that closes the tab
332
00:14:41,475 --> 00:14:42,435
and goes with another candidate.
333
00:14:42,435 --> 00:14:44,996
And at this point, if they're looking
at your portfolio, you're already
334
00:14:44,996 --> 00:14:46,665
so close to having that swipe right.
335
00:14:46,665 --> 00:14:49,516
Their thumb's literally on the green
arrow and they're thinking about it.
336
00:14:49,606 --> 00:14:52,465
This is just like the last thirst trap
picture you need to get that thumb to
337
00:14:52,465 --> 00:14:55,665
the right, and if you have it, you'll
get those swipes and you'll get those
338
00:14:55,665 --> 00:14:57,055
calls, and you'll get those offers.
339
00:14:57,096 --> 00:14:58,746
If you don't have it, who knows?
340
00:14:58,805 --> 00:14:59,866
You're leaving it up to chance.
341
00:14:59,925 --> 00:15:03,715
And really, this is the mindset shift I
want you to take away from this episode.
342
00:15:03,746 --> 00:15:05,055
You're not a bad data analyst.
343
00:15:05,055 --> 00:15:06,705
In fact, you're probably a great one.
344
00:15:06,725 --> 00:15:08,795
So we aren't changing who you are.
345
00:15:08,835 --> 00:15:13,986
We are changing what they see, because you
might be appearing as a bad data analyst
346
00:15:13,986 --> 00:15:17,695
based off your digital profiles, even
though you're a fantastic data analyst.
347
00:15:17,725 --> 00:15:21,165
But you can literally fix that
today with the mirror test.
348
00:15:21,215 --> 00:15:23,685
Look at your resume, your
LinkedIn, and your portfolio
349
00:15:23,766 --> 00:15:25,705
with clean eyes, six seconds.
350
00:15:25,755 --> 00:15:29,295
In a blink of an eye, would a stranger
take a chance on you, yes or no?
351
00:15:29,335 --> 00:15:30,726
If the answer is yes, great.
352
00:15:30,746 --> 00:15:31,725
Go back to applying.
353
00:15:31,735 --> 00:15:32,465
You're doing great.
354
00:15:32,496 --> 00:15:36,295
If the answer is no, well, you need
to fix it, and if you want help fixing
355
00:15:36,295 --> 00:15:39,636
it, that's exactly what we do in my
bootcamp, Data Analytics Accelerator.
356
00:15:39,685 --> 00:15:42,826
You can learn more about it by clicking
the link in the description down below.
357
00:15:42,866 --> 00:15:44,776
You guys got this, I promise.
358
00:15:44,815 --> 00:15:47,945
Mirror test, fix, apply, and
I'll see you in the next one.