146: How I Plan to Help 52 People Land Data Jobs in 2025
I won't lie, I'm pretty nervous. In this episode, I share my AMBITIOUS plan to help 52 people land their dream data jobs this year! I call it 'Mission 52,' and I'll make myself more accountable to all of you by documenting my whole journey.
Learn more about PremiumDataJobs here: https://youtu.be/yELzmrEGPbU
👩💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa
💌 Join 10k+ 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
👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator
⌚ TIMESTAMPS
00:00 - Introduction
01:31 - My 5 steps to help you.
02:40 - PremiumDataJobs.com
05:42 - Data Analytics Accelerator
07:18 - I need your help!
🔗 CONNECT WITH AVERY
🎥 YouTube Channel: https://www.youtube.com/@averysmith
🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/
📸 Instagram: https://instagram.com/datacareerjumpstart
🎵 TikTok: https://www.tiktok.com/@verydata
💻 Website: https://www.datacareerjumpstart.com/
Mentioned in this episode:
🔮 Try DataFairy.io 100% free
Want an AI assistant to help you in your data journey? Try DataFairy.io for free to help you with Excel, SQL, Python, cold messages, networking, LinkedIn, and more!
🧚♀️ Try DataFairy.io (the best AI tool)
Premium Data Jobs
Job hunting sucks. We make it suck less. Get 30+ fresh new jobs in your inbox every week.
Transcript
I want to help you become a data analyst.
2
:This year, I have a goal to help someone
land a data job every single week.
3
:That's 52 people in the year
that completely change their
4
:lives and pivot into data.
5
:And I plan to document the
entire mission with you guys.
6
:I'll be calling the
whole thing mission 52.
7
:And honestly, I'm pretty nervous.
8
:I won't lie.
9
:With the way the market has
been recently, this is a.
10
:Pretty big goal and to be doing this
mission in public, or if I fail,
11
:you will all know, and you will all
see is a little scary, but it's one
12
:that I feel confident that I can do.
13
:And that we can do together.
14
:You see, I've been helping
people land data jobs for my
15
:full time job for four years now.
16
:And I feel pretty confident
in what I'm doing.
17
:In fact, as of recording this,
which is about the second week in
18
:January, we are right on schedule.
19
:Ryan and Mason have already
landed jobs this year.
20
:So, so far, so good.
21
:And to make it more fun for you and
for everyone that I helped land a
22
:job, hopefully you, I'm going to
give you a prize when you land a job.
23
:I'm going to highlight you on
a billboard in Times Square.
24
:And yes, you heard me right.
25
:Just a huge billboard of
your face in the Big Apple.
26
:Just like I did with my student Aaron
Sheena here, who landed a job last year.
27
:We're going to tell your story and share
your success with the entire world.
28
:So if you want your picture and your
story up in the bright lights of
29
:Times Square, and honestly, if you
want to ruin me financially, because
30
:let's be honest, billboards in Times
Square, they aren't exactly cheap.
31
:Listen up because here are the five
main ways I'm going to help you.
32
:Atlanta data job this year.
33
:Number one, I will post
thousands of data jobs.
34
:I run a data job board
called find the data job.
35
:com.
36
:And every day I post about 30
to 50 different data jobs on it.
37
:These are jobs that my team and I find
online that aren't exactly the jobs you'd
38
:find on say Indeed or LinkedIn jobs.
39
:They're all on company websites,
which just as a side note.
40
:That is the best place to apply.
41
:And there's a search filter,
location, filters, a remote
42
:filter, and even salary filters.
43
:And the best part is it's a hundred
percent free and it will stay free.
44
:This website actually costs me
money to run every single day.
45
:So please just do me a favor.
46
:And just use it, go to find a job.
47
:com right now in your browser and
just bookmark it and use the crap
48
:out of it because whether you
use it or not, I'm paying for it.
49
:And so I would at least
rather have it help people.
50
:If it's going to cost me money, I'm
telling you it's free and it's good.
51
:I also run two other job boards.
52
:One is a sports analytics job board,
which is called sports analytics jobs.
53
:com.
54
:I know I'm very original with my names.
55
:So if you enjoy sports and analytics,
like I do check this one out, we
56
:post data related jobs for athletic
related organizations, all over the
57
:world, professional teams, college
teams, media, anything you can kind of
58
:think of in the sports realm or post.
59
:The other one is called premium data jobs.
60
:com, which warning it is a
paid service, but we find you
61
:special data jobs that are.
62
:So specifically for you, we find fresh
jobs that have low candidates that
63
:always have someone you can reach
out to and actually cold message.
64
:So that way you have a
foot in the door already.
65
:I recently made an episode
explaining this more in detail.
66
:So I'll be sure to include that
in the show notes down below.
67
:So you can check it out
if you're interested.
68
:Number two, I'm going to publish 52
action packed new episodes, whether
69
:you're listening to the audio version
of this podcast or you're watching
70
:the video version on YouTube.
71
:Every Tuesday, I publish an
information packed episode.
72
:That will help you grow your data
career in just a few minutes.
73
:Sometimes it's a solo show like
this, where I pick a topic that I
74
:think all of my students could use
some insight on, but other times I
75
:interviewed the best of the best data
experts in the entire world, people
76
:like Zach Wilson, Alex, the analyst.
77
:Stat Quest or Cole Afflic,
just to name a few.
78
:Either way, no matter what, every
Tuesday you'll be learning something
79
:valuable in each episode and something
that you can actually act on.
80
:I hate when educators and teachers just
give you the theory I'm all about, give me
81
:tangible application and execution theory
is great, but only two justify the means.
82
:These episodes have one goal and one
goal alone help you in your data career.
83
:Number three, I'm going to be
sharing free educational content.
84
:Every day, every day, you'll find me
typing up a LinkedIn post for the 130,
85
:000 of you that follow me over there.
86
:That's not going to stop anytime soon.
87
:So make sure you go find
me on LinkedIn right now.
88
:Hit the follow button and the bell
icon so you don't miss anything.
89
:Once again, I try to post applicable
things that you can actually do today
90
:to land a data job more quickly.
91
:No fluff, no crap, just helpful things.
92
:Also be posting more on my Instagram this
year, which I'm really excited about.
93
:A lot of it will be behind the
scenes stuff and stuff that
94
:maybe I don't post on LinkedIn.
95
:Also, if you are watching on YouTube,
I post a lot on the YouTube community
96
:page, and I encourage all of you
guys to go take a look at that and to
97
:leave a comment there as well, because
I'm trying to personally respond to
98
:every single comment I get on my.
99
:YouTube community page.
100
:And lastly, I do have a Tik Tok, but
at the time of recording, it's not
101
:really clear whether that's staying
or going inside the United States.
102
:It's kind of up in the air.
103
:So if Tik Tok still
around, go follow me there.
104
:But if not, don't worry, whatever
social media platform you use, you'll
105
:find it in the description down
below and you can go follow me there.
106
:And I'd love to hear from all of you.
107
:Okay.
108
:Next number four.
109
:I'm doubling down on my weekly newsletter.
110
:Every Wednesday, I send out
the data career newsletter.
111
:This is where I highlight the
most important lesson of the week.
112
:I do giveaways, I provide the
data job of the week, and I
113
:share other helpful musings.
114
:It's usually pretty short and simple.
115
:It takes way less than
five minutes to read.
116
:And honestly, I think everything
that I'm teaching in there, I'm
117
:giving in there will save you
hours of time in your data journey.
118
:So if you aren't subscribed, go join the
15, 000 other aspiring data professionals.
119
:And subscribe, it's a
hundred percent free.
120
:And lastly, number five, I'll continue
running the accelerator program.
121
:Now as a heads up, this is a paid program,
but honestly, it's quite a bit more
122
:affordable than most other bootcamps.
123
:If you didn't know, I run a bootcamp.
124
:It's called the data analytics
accelerator, and it's literally
125
:helped hundreds of people
land their first data job.
126
:It's a 12 week program
designed around my SPN method.
127
:That actually helps you land a data job.
128
:Of course, we teach the skills,
but we also help you build projects
129
:and help grow your network.
130
:We teach you Excel, Tableau, SQL,
Python, R, and Power BI by helping
131
:you do real projects with sales,
healthcare, education, sports,
132
:manufacturing, financial, and HR data.
133
:All real data sets from the wild.
134
:We help you with your LinkedIn and
your resume as well as job hunting.
135
:Plus we have live office hours every
single week and a community that
136
:you can literally post in 24 seven.
137
:This has been the vehicle that has driven
many to landing their first day at a job
138
:and that will stay true this year as well.
139
:So if you've been subscribed to my channel
for a while, you've probably seen just a
140
:fraction of our awesome success stories
like Trevor Maxwell going from a printer
141
:technician with no college degree to
business analyst, or Alex Sanchez going
142
:from a high school teacher to data analyst
at seven 11, or maybe Aaron Sheena,
143
:who was a music therapist and now is a
financial analyst at a fortune 50 company.
144
:This program gets proven results and
excited to keep leading it in:
145
:If you're interested in learning
more, be sure to check out
146
:the show notes down below.
147
:Now, of course, with all this being
said, if I help you land a data job at
148
:any point this year, please let me know.
149
:You can just send me an email
averyatdatacareerjumpster.
150
:com and let me know.
151
:And as your prize, I will
highlight you on your own personal
152
:billboard in Times Square.
153
:I promise there's not
gonna be other people.
154
:It's just you.
155
:And literally Times Square.
156
:There's no catches about this.
157
:I'll pay for the whole thing.
158
:But before any of that, I
actually need your help.
159
:If I'm going to pull this whole
thing off this mission 52, I'm not
160
:going to be able to do it alone.
161
:I'm going to need your
help to get the word out.
162
:Hitting subscribe, leaving a comment
or resharing any of my content
163
:is a really simple and easy way.
164
:That you can help mission 52, it
literally costs you nothing and
165
:it takes you less than 30 seconds.
166
:So thank you already for
helping out this mission.
167
:And I want to make sure I stay
accountable to literally the thousands
168
:of you who are listening right now.
169
:So I'll be documenting this entire
mission, this entire journey in public.
170
:If I fail, you will know, which is scary.
171
:I'm very scared about that, but
I want to share the reality that
172
:you can land a data job this year.
173
:Even in today's market, you can do it.
174
:And so you can watch the
progress of these 52 individuals.
175
:In three different places.
176
:Number one, I'll have a website
dedicated to Mission 52.
177
:It's going to be datacrewjumpstart.
178
:com slash mission, and I'll
update that periodically.
179
:Number two, I'll talk about
the progress periodically in my
180
:newsletter, about once a month.
181
:So you can stay tuned to the
newsletter to get the updates there.
182
:And number three, I'll be sharing the
highlights of this Mission 52 on my
183
:Instagram story so you can follow there.
184
:So please follow this mission
and share with your friends.
185
:We can do this, I think.