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Mason went from teaching middle school choir to a financial analyst job at Humana in 40 days. I asked him how.
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⌚ TIMESTAMPS
00:00 – Choir teacher to Humana
09:03 – Teaching stopped working
12:33 – Go meet people
16:12 – Apply before you feel ready
20:06 – Fake it a little
24:30 – Get a referral
🔗 CONNECT WITH MASON
🤝 LinkedIn: https://www.linkedin.com/in/mason-rice-a98559330/
🎵 Follow his new choir, Voices of Kentuckiana 👉 https://www.instagram.com/voicesky/
🔗 CONNECT WITH AVERY
🎵 TikTok
💻 Website
Mentioned in this episode:
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I was a middle school choir
teacher, and now I'm working at
2
:Humana as a financial analyst.
3
:I knew I was done teaching when I
prevented a murder in my classroom
4
:Because I wasn't considering it at all.
5
:I didn't even know it existed.
6
:And so I found this journal entry
that I wrote after I got my job, okay?
7
:And it says, "On October 25th," this
is:
8
:the Data Analytics Accelerator.
9
:I learned Excel, Tableau, and SQL.
10
:On December 4th, I accepted a job
as a financial analyst at Humana."
11
:So it really was, like, 35, 40 days.
12
:The job offer was $75,000, work
from home four days a week.
13
:There were probably 300
applicants on the first day.
14
:But I think important point was
the job that I ended up landing was
15
:the 24th job that I applied for.
16
:It's not all about the techniques.
17
:Sometimes it's about who you know.
18
:I have a healthy amount of delusion.
19
:This is Mason Rice.
20
:He's a choir director and conductor that
pivoted out of the classroom and into
21
:data analytics in less than six weeks.
22
:He didn't have a fancy tech degree.
23
:He didn't have a data background, and six
weeks before he got hired at a Fortune 50
24
:company as a financial analyst, he didn't
even really know what a data analyst was.
25
:So here's exactly how Mason did
it through the full story Mason,
26
:welcome to the Data Career Podcast.
27
:So I'm excited to hear about your
journey from going from a choir
28
:teacher to financial analytics.
29
:So tell us where you work right now
and, uh, how long you've been there.
30
:Sure.
31
:Uh, I'm so excited to be here.
32
:Um, you know, when I was going through,
like, the Data Analytics Accelerator,
33
:I listened to probably every o-
episode of this podcast that you had.
34
:So this is really so full circle for me.
35
:Uh, I'm really excited to be here.
36
:Um, so what I did before, uh, I worked
at Humana, um, I was teaching choir.
37
:I taught high school
choir for several years.
38
:I taught middle school choir for a
short time here in Louisville, Kentucky.
39
:Um, but today I am working at Humana.
40
:Um, I'm a financial analyst in
the risk adjustment department, so
41
:you can catch me reporting on, uh,
Medicare star ratings and how they
42
:impact our company financially.
43
:Okay, that's crazy.
44
:So you were, like, teaching, like,
eighth graders, like, how to sing
45
:and doing, like, performances and
being, like, the, like, the conductor,
46
:and then suddenly, like- Yeah,
allegedly Okay, that's awesome.
47
:And then suddenly you're, like, on
spreadsheets and, like, crunching numbers.
48
:That doesn't seem like a very
natural, uh, career transition.
49
:So, uh, like- No, it wasn't, and it didn't
really feel like it sometimes either.
50
:Yeah, I- It wasn't,
yeah … I can imagine.
51
:That's, that's such a, a,
a crazy, a crazy story.
52
:Um, so, like, do you use
Excel at your job right now?
53
:What type of tools do you use at your job?
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:Oh, yeah.
55
:Um, I would say Excel is probably
the majority of what I use.
56
:Um, SQL is really high
up on that list, too.
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:Um, I am also using Power
BI, um, to a degree.
58
:I had to learn SAS on the
job, um, so I didn't have that
59
:skill before I took the job.
60
:Um, but I've had to learn
how to write some SAS code.
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:And then, um, a- now we are moving
into Databricks, so learning
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:Databricks and a little bit of Python
has also been, um, on my plate.
63
:Wow.
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:So you've learned quite a bit
since you've been there and you,
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:you know, you learned some of this
stuff before you landed the job.
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:I love that you're learning on the job.
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:I think that's important
that people recognize that.
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:Um, but, but if- Mm-hmm … I guess
you had to choose the top three in
69
:order, it'd be Excel, SQL, Power BI?
70
:You got it.
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:Okay, got it.
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:Um, and what type of data
are, are you looking at?
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:You're looking at, like, Medicare data?
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:Is that what you kinda said?
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:Yeah, for sure.
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:So, um, generally looking
at member-level data.
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:Um, just trying to figure out, like,
I'm looking at county rates, I'm looking
78
:at star ratings, I'm looking at, um,
how many, how much money we're getting
79
:per member per month, per person.
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:I'm also, like, looking at the
enterprise as a whole, comparing
81
:data from competitors to see kinda
where we stack up, um, in terms
82
:of performance on s- star ratings.
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:And there's a really complex system of
how the government pays out for Medicare,
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:uh, which is constantly changing and
evolving, and they want to pay us
85
:less and less money as time goes on.
86
:And so it's kind of a, uh, uh, a
challenge to keep up with the changes,
87
:but also to stay ahead of competitors
in a way, in a field where, like, margin
88
:percents can be really, really low.
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:So every, every penny really matters.
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:Um, and so we're kinda just
looking at that data and trying
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:to stay ahead of the game.
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:That is kinda crazy to hear, um,
that, like, margin's small in, in
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:healthcare 'cause you often think that
healthcare is kind of ripping you off.
94
:It feels so expensive in America.
95
:And we should, and we should
mention that Humana is, uh, like a
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:healthcare, uh, company in the US.
97
:It is, like, one of the biggest ones.
98
:Mm-hmm.
99
:I think you guys are, like, you're
at least a Fortune 50 company.
100
:You guys might even be bigger than that.
101
:Right.
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:Um, so this is, like, a huge
healthcare company, um, in the US.
103
:We should mention that you are,
uh, located in Kentucky, which,
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:which is kind of, like, kind of
close to the middle of America.
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:A little bit, a little bit
to the east of the middle.
106
:Mm-hmm.
107
:Um, okay, very cool.
108
:And, like, tell us a little bit about
what your work situation i- is like.
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:Are you in the office full time?
110
:Are you remote?
111
:How does that work?
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:Sure.
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:Yeah.
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:So I'm in Louisville, Kentucky.
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:I've been living here for two years,
and, um, Humana's headquarters
116
:is in Louisville, so they have
remote workers all over the place.
117
:But my specific team is a hybrid team.
118
:So I go into the office
on Wednesdays only.
119
:Um, so Monday, Tuesday, Thursday,
Friday, I am working at home.
120
:Um, and so that has been super nice
balance for me 'cause I love having
121
:some face time with people, um, and
getting to get out of the house.
122
:But, um, the working from home
is also really, really nice.
123
:Though there are people even on
my team who are fully remote.
124
:But generally, like, for Humana, if
you live within, you know, a 30-minute,
125
:45-minute drive, you're probably coming
in one day a week, if not a f- a few more.
126
:That's something that I
think is so interesting.
127
:Everyone wants a remote job, and, uh,
I've started to see some, I don't want
128
:to call it backlash, but some pushback
to remote jobs where it's like, I
129
:don't know how healthy, uh, completely
remote jobs are just because I think
130
:you, I think you get better training
when you go into the office 'cause it's
131
:just, it's hard to train people online.
132
:It's, it's hard to,
like, schedule meetings.
133
:Um, I think you get better opportunities,
uh, like, to get raises and promotions
134
:just 'cause, like, you actually are
forming a relationship with an actual
135
:human being, like, with your boss, versus
just, like, talking to them online.
136
:And I just think, like, mentally
and emotionally, we were meant as
137
:humans to interact with people,
like, actually interacting with them.
138
:I think, I think there's so much to be
said about a hybrid job like what you're
139
:talking about, where it's actually
worlds better than a remote job.
140
:'Cause, like, really, it's hybrid, but
you're, you could just call it 80% remote.
141
:I mean, that's what, that's
what it is for you, right?
142
:Mm-hmm.
143
:But that 20% feels so important.
144
:You've enjoyed the 20% in office?
145
:Oh, yeah.
146
:And I completely agree with you.
147
:I mean, in fact, like, I was … I
mean, I was working in a school, right?
148
:I mean, it doesn't get any
more in person than that.
149
:No.
150
:Right?
151
:You're hands-on dealing
with people all the time.
152
:And so I was so ready for the
pendulum to swing the other way.
153
:I was like, "Oh, no,
let's be totally remote.
154
:Let me, let me get, you know … " It
seems so nice to be so convenient.
155
:And as time has gone on, I kinda
wish I had two or three days in the
156
:office to go in and work, just because
I feel like that energy exchange
157
:between people is so important.
158
:And what you said is exactly true.
159
:Like- The way you connect with
somebody in person is so different
160
:than the way you connect with
them online and, and I find online
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:connections are difficult sometimes.
162
:They can be really awkward.
163
:You know?
164
:You can't…
165
:It's harder to have a give and
take on a, on a Zoom call, right?
166
:Because you, you can't listen
and speak at the same time in the
167
:same way that you can in person.
168
:Yeah, it's like when you're really
making eye contact with somebody, and
169
:you can notice their breathing and
their body language, and you can read
170
:the room when everybody else is…
171
:When there are other people involved too.
172
:I think it's so valuable, um,
something that I've really missed.
173
:Um, and I would also say, like,
working, working remotely can be lonely.
174
:It can be, it can be depressing.
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:Um, it can be really repetitive.
176
:It can be very comfortable,
but it, it's also…
177
:You know, it's, it comes
with its cons as well.
178
:I hope, I hope everyone just
listening kind of internalizes that
179
:and maybe instead of applying to
remote-only jobs, try some hybrid jobs.
180
:'Cause the other thing
about hybrid jobs…
181
:I, I'm gonna call them 80% remote
jobs, 'cause that's what, that's what
182
:yours, that's what yours is right now.
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:Those 80% remote jobs, like, they're
just way less competitive because I
184
:can only, you know, like, I can only…
185
:Okay, almost.
186
:You did say there were some people
that are fully remote on your team.
187
:But the majority of the people
on your team, you know, have
188
:to live in the Louisville area.
189
:And so when a job opens up, uh,
for your team, it's like the whole
190
:entire country, the whole entire
world can't apply for those jobs.
191
:You know, only people
in Louisville, Kentucky.
192
:So your application pool
is just so much smaller.
193
:So I…
194
:Anyways, everyone listening,
start to apply to hybrid roles.
195
:Um, okay, I wanna talk about- Oh, yeah
196
:that in-person job you
had, the choir teacher.
197
:You're, you're right that, like, other
than, like, being a doctor or a nurse,
198
:like, teaching is, like, one of those
jobs that is, like, in person, hands-on.
199
:Um, so you're teaching, you
know, all these students music.
200
:You're, you're, you're,
uh, a choir teacher.
201
:Um, like, at what point were you
like, "Uh, I don't know if I wanna
202
:do this the rest of my life"?
203
:Like, what was, what was
so hard about that job?
204
:Sure.
205
:I mean, in my first job, I was
fresh out of college, and I mean,
206
:and any first-year teacher can, can
commiserate with the energy and the,
207
:the crazy, uh, amount of effort it
takes to just get started as a teacher.
208
:It's really just kind
of unbearable at times.
209
:It's really emotional.
210
:It was, it was emotional for me.
211
:I'm an emotional guy.
212
:I teach music.
213
:What can I say?
214
:But it really, it just requires so much
effort and so much investment, and there's
215
:so many factors that are unpredictable.
216
:These kids, they bring in their
own baggage and problems to the
217
:door, and it's so often you have to
check yours and just be a caregiver
218
:Uh, much more than a teacher.
219
:And I taught through the pandemic.
220
:I, uh, I only got, like, a year and a half
of, you know, in-person instruction before
221
:I was teaching with a mask for two years.
222
:Um, and for me, it's always
been about mentorship and
223
:connection, uh, with, with people.
224
:And so, uh, the mask kinda
took that away for me for that
225
:kind of level of connection.
226
:So, uh, that's when I left
to go get my master's.
227
:But, um, when I went to go teach--
When I go- went back to go teach
228
:middle school, I just found that it
was a totally different landscape.
229
:I found that I wasn't really able to
teach the way that I wanted to teach
230
:or teach, um, primarily, um, because
in that role, I definitely was m-
231
:m- majorly a caregiver and a, and a
therapist and a babysitter and a, uh…
232
:Yeah.
233
:Th- thi- But I wanted to teach choir,
and so I kinda felt like in a way that
234
:was not available to me, um, anymore,
or at least where I was and Yeah, I, I
235
:was getting, I started having nightmares
about this, going into work and waking
236
:up as late as possible and going home and
not saying a single word, and was just
237
:really struggling at the time that I was
looking to pivot ca- uh, pivot careers.
238
:I had just gotten to a really low point.
239
:I mean, probably some- one of the lowest
points I'd been in, uh, was just be-
240
:this because of teaching and just because
of all the, all of the things going on.
241
:I mean, I was dealing with lots
of violence in my classroom.
242
:I was dealing with lots of,
uh, some really troubling home
243
:lives with students, and that…
244
:What it, it is a beautifully compassionate
job, um, but it is incredibly taxing.
245
:And so I think I had reached, I, I had
reached my limit with what I could handle.
246
:Do not blame you one bit, and I think
everyone who's listening, one, loves
247
:teachers, and we're thankful for you
teachers, but also recognizes how sucky
248
:of a job it is and how hard it is.
249
:My mom's a teacher and, uh, you know,
we're, we're recording this kind of,
250
:uh, during the, during the summertime,
and my mo- I was like, "Mom, when
251
:do you have to go back to school?"
252
:Well, she's like…
253
:And she's like, "The official
day is this, but I'm gonna go
254
:back a week early to prepare."
255
:I'm like, "Mom, you're just
working a week for free for, to,
256
:like, you don't get paid for that.
257
:You're just doing it out of
the goodness of your heart.
258
:Mom, I love you.
259
:You're a good person, but no one should
have to work a week for free, especially,
260
:you know, teachers in America."
261
:But alas, that's the, the system we're in.
262
:Okay, so you're like, "I, I
gotta get out of teaching.
263
:This is, this is too much, you
know, taxing on, on my wellbeing.
264
:This is, this is very difficult.
265
:I wanna try something new."
266
:How did you decide on data?
267
:Like at what point were you like,
"Oh, I wanna become a data analyst"?
268
:Okay, it's actually wild because
I wasn't considering it at all.
269
:I didn't even know it existed.
270
:Um, but what I was doing was going
out and trying to find community.
271
:Um, I was just out and
I joined some choirs.
272
:I was singing in this group called
the Louisville Chamber Choir, and
273
:I had made some friends, and had
started like speaking into the ether
274
:that I was like ready to change,
ready to s- do something different.
275
:And, um, a woman by the name of
Erin Sheena comes to me from across
276
:the room and is like, "Hello.
277
:I know we have like friends in
common and we've been singing
278
:together in this group."
279
:And she…
280
:I kind of asked her what she did and I was
like, "That sounds like what I wanna do.
281
:Can we get like coffee and talk
about what you do for work?"
282
:And so Erin and I, we got, we had
like a, we had a get together.
283
:We kiki'd and we talked about…
284
:'Cause she had changed from
music therapy to this job and I
285
:was like, "How did you do that?
286
:Uh, point me in the right direction
'cause I need a change," and I knew I
287
:wanted to work in something with money.
288
:I knew that I enjoyed, um,
like working in Excel, and I
289
:thought coding was interesting.
290
:As, as she was explaining it to
me, it sounded really intriguing.
291
:So yeah, she pointed me in the
direction of the DAA and I, uh-
292
:Yeah, I, I really, I put my all
into it and really didn't look back.
293
:Um, so I watched the YouTube videos
and listened to the podcast and, um,
294
:knew that I would give, give it a shot.
295
:Okay, this…
296
:There's so many cool things here that
I, I need everyone in the audience to,
297
:to pay attention to and r- and remember.
298
:So if you've been a listener to the
podcast for a while, you'll know
299
:that Erin Sheena, we've interviewed
Erin on the podcast before.
300
:Uh, it was a few years ago,
though, so some of you guys
301
:who are OGs might remember.
302
:Mm-hmm.
303
:I did a, a, a rerun of her episode
maybe about a year ago, so some of
304
:you guys have probably heard it.
305
:But yeah, she was a music therapist,
uh, like Mason said, and she joined my
306
:accelerator program, was able to pivot,
uh, to a, a pretty similar role, uh,
307
:to Mason's role, we'll get to that in
a bit, um, and become a data analyst.
308
:Okay, so you, so you met Erin, and
she was like, "I'm a data analyst.
309
:I used to be a music therapist.
310
:Music therapist was really, you know,
taxing and a very difficult job,
311
:and I was able to pivot into data."
312
:And you're like, "That sounds fun.
313
:I like Excel.
314
:I'm interested in coding."
315
:Did you like puzzles, like, growing up?
316
:Like, did you always like numbers, or was,
like, math something you didn't enjoy?
317
:Oh, yeah.
318
:I mean, full disclosure, I did
get my minor in math- Ah, okay.
319
:That's good to know … in my undergrad.
320
:My mother was a math teacher.
321
:And, um, I mean, really, music and math do
have lots of overlap, um, intellectually.
322
:So I, uh, I've alwa- yeah, I love puzzles.
323
:I love games.
324
:I'm a big board gamer.
325
:I'm a big video game nerd anyway, and so I
find things like that really interesting.
326
:But yeah, I, uh, independently
was applying for jobs and, and
327
:Erin ended up being my reference.
328
:You know, our desks, by the way,
are, like, right next to one another.
329
:I saw her yesterday.
330
:We see each other all the time, but
she was really my, my in at Humana,
331
:and is one of my dearest friends
and, um, I kind of followed her
332
:path in, step by step, to be honest.
333
:Like, I listened to that
podcast episode with her and was
334
:like, "Yeah, I wanna do that."
335
:And so I probably listened to it, like,
four times until I made it happen, so.
336
:And that's, that's my, my next
question exactly, is, like,
337
:how did you make this happen?
338
:So you're, you're at this, like, uh,
singing event, and you meet Erin, and
339
:she explains, "Yeah, I was piv- able
to pivot from music to, to data."
340
:You go get a coffee chat, you know,
you explain what you wanna do, and
341
:she's like, "This is how I did it.
342
:You know, I joined Avery Smith's
Data Analytics Accelerator,
343
:was able to pivot out."
344
:And you're like, "Okay, I'm
just gonna follow that."
345
:So you, you end up joining the
accelerator, and, uh, how long-
346
:Mm-hmm … did the whole process take
from, like, deciding you want to become
347
:a data analyst to your first job offer?
348
:Okay.
349
:So before this interview, I went
and I g- I grabbed my diary.
350
:And so I found this journal entry
that I wrote after I got my job, okay?
351
:And it says, "On October 25th," this
is:
352
:the Data Analytics Accelerator.
353
:I learned Excel, Tableau, and SQL.
354
:On December 4th, I accepted a job
as a financial analyst at Humana."
355
:So it really was like- 35, 40 days.
356
:It was a whirlwind of a time, um,
but it happened really, really fast.
357
:And, uh, the job offer was $75,000,
work from home four days a week,
358
:which was, like, already more than I
was making as a teacher, by the way.
359
:Um, and a lot-- and better benefits, so.
360
:You were in.
361
:Yeah.
362
:That's it.
363
:Um, so I- when I started the program,
I, uh, I'm an all-in kind of person, and
364
:so I was like, "Okay, I'm doing this."
365
:I made-- I, I think I finished
the first module in a day.
366
:You know, I woke up at 8:00 a.m.,
367
:and I was like, "I'm doing this."
368
:And every little strong arm
emoji, I was like, "I'm doing it.
369
:I'm doing it."
370
:I made my LinkedIn.
371
:I had all my photos fig- figured out, and
then, um, I was just like 100% gung-ho.
372
:I was listening to the
podcast on my way to school.
373
:I was listening to it on
the way out of school.
374
:I was listening to it in my,
uh, in my, what is it called?
375
:Planning period.
376
:Wow, sad that I've already
forgotten what that was.
377
:Um, and I even-- I also had, like,
27 Sick days that had just been
378
:accrued, I was cashing those in.
379
:I was like, you know, I- if I'm
gonna leave this job, which I
380
:did, I'm gonna forfeit all of
those sick days, which I did.
381
:I ended up forfeiting the rest of
them 'cause I left my, left my job.
382
:So I was using all the sick
days as, like, project time.
383
:So I had my portfolio
with, like, in Excel.
384
:I probably did the first five or
six modules in two weeks, in a
385
:week or two weeks, and I applied…
386
:See, I also pulled up my job
tracker, 'cause I u- I used that
387
:job tracker that you posted.
388
:I applied for my first job October 31st.
389
:So within a week I was applying for jobs.
390
:Okay.
391
:That's crazy.
392
:How many jobs did you apply for total?
393
:Okay.
394
:So the…
395
:Of, of the ones that I put on the
tracker, which probably wasn't all, 80.
396
:I applied for 80.
397
:Yeah, that's a good number.
398
:Um, yeah.
399
:I, I, I think I was probably pushing
100, 'cause I did have a low point
400
:where I was going through all of
the, like, LinkedIn quick applies.
401
:I mean, obviously I didn't
get any of those jobs.
402
:Um, but I think an important part,
or important point was the job that
403
:I ended up landing was the 24th job
that I applied for, and I didn't hear
404
:anything about that for several weeks.
405
:Um, I had already applied for many,
many other jobs by the time they
406
:finally got back around to me, and then
I fi- I accepted it on December 4th.
407
:So it was about a month of interviews-
Wow … and stuff before the job.
408
:So many cool things there.
409
:So, like, in six weeks you were
able to be like, "I wanna be a data
410
:analyst," to having an o- a job offer.
411
:Uh, that's amazing.
412
:Congratulations.
413
:That is so cool.
414
:Thanks.
415
:Um, and, and that 24th, so it
was the 24th job you applied.
416
:For first, so first off, I wanna say,
like, you, if your first job that you
417
:applied for was, like, almost on Halloween
it sounded like, that means it was, like,
418
:a week into the- Mm-hmm … accelerator.
419
:And I think that's such a good
point, that so many people…
420
:Like, you had only heard about data
analytics for, like, maybe a m- maybe,
421
:like, three weeks, a month before
applying to your first data analyst job.
422
:And I can't even tell you- Mm-hmm … um,
how many people wait years before
423
:applying to the job, 'cause they never
feel like they're gonna be ready.
424
:So, like, what was your thought
process of, like, "You know what?
425
:Screw it, I'm just gonna apply to jobs."
426
:Like, h- how did you feel ready?
427
:Oh, I have a healthy amount of delusion.
428
:I- and I think that is a very important
thing to bring into your life.
429
:Just a little bit of I
can do anything energy.
430
:Um, and, and actually I would have
like, I would have a little…
431
:Before I have, would have an interview
to like talk about this thing that I had
432
:never done before, um, I would just like
have some mirror moments with myself
433
:where I would just like make eye contact
and say, you know, "I'm a data analyst.
434
:I can do this."
435
:You know, "I have what it
takes to like, get this job."
436
:So honestly, it was kind of
like a mindfulness practice in a
437
:way, um, while it was happening.
438
:And I was doing lots of yoga and drinking
lots of tea and just trying to remain calm
439
:because, you know, my job was so chaotic.
440
:Um, it was so chaotic and I really,
um, was coping with that in a
441
:way by, uh, by spending all of my
energy trying to make this happen.
442
:Um, but yeah, I, I think a
healthy amount of delusion can
443
:serve someone pr- pretty well.
444
:I mean, 'cause on my,
on my resume, I put…
445
:I would tailor the title.
446
:I would just put Mason Rice, data
analyst or business analyst or financial
447
:analyst, whatever the job posting
was, and put it on there and add my…
448
:You know, and I kept my, uh, teaching
experience on my resume, but I put my
449
:data analytics stuff at the very top and
all of my portfolio and stuff and skills
450
:at the top and tried to like push the
s- the teaching stuff down a little bit.
451
:But, um, but yeah
452
:That's, I mean, I love that,
having a healthy delusion.
453
:I think that's, that's a great thing.
454
:And, and one thing, one thing I try
to talk about in the program is,
455
:like, one, I don't think anyone's
ever ready to become a data analyst,
456
:especially 'cause it's always changing.
457
:A- and two, it's like if you don't think
you're ready to be a, a data analyst or
458
:apply to data analytics jobs yet, well,
can you at least fake it till you make it?
459
:'Cause I promise you, like- Period
… like, you're more ready than you realize.
460
:And a lot of the times when, you know,
you're getting rejected, you know,
461
:'cause that happens, 'cause, like, what?
462
:There's, I don't know how many interviews
you got out of, out of those 80 or 100
463
:that you applied for, but, like, over,
over 75% of them, 80% of them, you
464
:probably got ghosted or rejected, right?
465
:And- Oh, yeah … and I think that s-
people think that means, "Oh, I suck.
466
:I suck as a data analyst."
467
:And it's like, no, you're normal.
468
:That's how it is when
you're applying for jobs.
469
:It's like, it's like, for instance,
a Hall of Fame baseball player, if
470
:they hit the ball one out of three
times, they're a Hall of Famer, right?
471
:And it's not like, "Oh, I missed
it two out of three times.
472
:I suck."
473
:It's like, no, that's par for the course.
474
:That's, like, what we're supposed to do.
475
:And I think some people get
s- so discouraged with that.
476
:Um, so how were you able to stay
optimistic when you weren't hearing
477
:back or when you got rejected?
478
:Well, for me, I think I, I kinda
knew what I was up against in a way.
479
:Like, when I applied for my job,
there were probably 300 applicants
480
:on the first day, you know?
481
:And every time a role gets
posted at Humana, that's
482
:kind of the story, you know?
483
:There's always all of these applicants.
484
:So my strategy was always, you know,
what can I do, what, what can I do
485
:that's gonna make myself stand out?
486
:Um, the number one thing was apply
for hybrid jobs in Louisville.
487
:I mean, I was exclusively applying
for hybrid jobs in Louisville
488
:because I knew that my…
489
:If I could just get my foot in the door
and get an interview, I could, I could
490
:land it because I could talk my way to it.
491
:Uh I would make, I would somehow
be able to convince those people,
492
:or at least, like, to have a, to
start making connections in a way.
493
:Um, so- Applying for hybrid
jobs, uh, also just knowing that
494
:applying and then moving on.
495
:Like, if I never hear…
496
:I don't expect to hear from most- for
most of these jobs that I'm applying
497
:for, so I'm gonna give them, like,
the time that the job speaks to me.
498
:You know, if I'm not that
excited about the job, uh, I'll,
499
:I'll fill out the application.
500
:But if I'm really excited about it or
it seems like I could really have a
501
:shot, I'll spend a lot of time on this.
502
:Um, but I kind of had, like,
drafted my elevator pitch.
503
:I had drafted my answers to,
like, common questions and just
504
:learned what applications were
looking for, what they were asking
505
:for, and it made it a lot easier.
506
:And yeah, I d- I definitely didn't
take any personal offense by not
507
:getting a job because at some point,
you know, they never see your face.
508
:You know, they never get to speak to you
until you're in an interview, and so it's
509
:like if you say no, you're missing out.
510
:Dude, that, that is a great attitude.
511
:Um, how else did you stand out?
512
:So one of the things that you mentioned
earlier was you were able to secure a
513
:referral for this application, and that
was Erin- Okay … um, who had joined,
514
:you know, my accelerator program,
came and did data analysis at Humana.
515
:You found this opening at Humana, you
apply for it, and she was a referral.
516
:Did…
517
:Was that helpful in the interview process?
518
:Like, was…
519
:How did that process go down?
520
:Oh yeah, absolutely, because my boss had
a desk right next to Aaron, you know?
521
:Um, I mean, I would say that it's probably
the primary reason I got an interview, um,
522
:because Aaron was willing to vouch for me.
523
:Um, but once it was the interview, you
know, it was really up to me, um, to talk
524
:about my projects 'cause they, they were
specifically asking about my projects,
525
:my, the experience that I had at Sequel.
526
:Um, I had a, I had a few technical
questions in there, you know, about join
527
:types and, uh, what the most complicated
thing in Excel I had ever done was.
528
:Um, oh, and this is totally off topic,
but my Excel project was on iFood.
529
:Is it still the iFood-
Yep … Excel project?
530
:Yeah.
531
:I got that in a tr- I got that
as a trivia question last week.
532
:Like, what is a Brazilian, like,
food delivery, uh, company?
533
:And I was all on that.
534
:Um- That's awesome.
535
:So I thought about you
just, like, two weeks ago.
536
:Oh, good.
537
:Um, but yeah, I, at that point,
like, to stand out, I was just
538
:gonna lead into my humanity.
539
:I was like, I was just gonna try to show
them who I was more than what I could do.
540
:Um, like I, every opportunity I had to
talk about my friends and my family and my
541
:loved ones and things that I loved, I did.
542
:I really tried to lean in to
just being a hard worker, um,
543
:loving collaborating with people.
544
:Um, I talked about my master's
mentor from my conducting degree.
545
:I talked about my favorite principal
'cause u- 'cause all of those questions
546
:like, uh, for the two interviews
that I did, the two different
547
:companies, they both asked me, like,
"Who's your favorite boss been?"
548
:And that was my opportunity
to talk about my experience.
549
:Like, I'm gonna talk about my mentor.
550
:I'm gonna talk about my principal.
551
:Um, or what, like, all of the questions
that they're gonna ask you from like a
552
:per- personal standpoint, you can use
your experience, uh, to talk about.
553
:And a lot of those things are gonna
554
:tell the story of who you are more
than, like, what you're able to
555
:do in Excel, 'cause they can teach
you what they want you to know.
556
:Because it, I, well, I would say
starting at any new company is always
557
:gonna be a learning curve anyway.
558
:I mean, I had a million different
acronyms to learn at Humana just because
559
:I'm not part of that culture, and I had
to learn-- I mean, I've learned things
560
:about finance, I've learned things
about healthcare, but I didn't know
561
:any of that going in, and that's okay.
562
:Like, I think at the end of the day,
what m- what at least the people on
563
:my team were looking for was somebody
who was willing to learn, someone
564
:who would be a good person they
could get along with, um, and that
565
:brought, uh, at least a, a willingness
to give it a shot, um- To a table.
566
:Uh, I, Mason, I just think you, you
brought up so many good points there.
567
:Um, and, and one thing I
think you're really good at…
568
:So, like, guys, undoubtedly Mason's
a, a smart person, a capable person.
569
:Um, like, good, good technically.
570
:Um, can understand data and make
it easy, communicate it well.
571
:But, uh, if you, if you listen closely
to this story, like, you're really gonna
572
:find that he landed this job because of
his social skills and, and his networking.
573
:It's like Mason was brave enough to,
you know, he was new to a city, and
574
:to go to these awkward events where
you don't know anyone, and you're
575
:like, "Hi, I'm new to this city.
576
:Uh, like, nice to meet you."
577
:Like, you, you were social enough
and, and brave enough to go to those
578
:things and meet people like Aaron.
579
:And then you were brave enough
to know, "Hey, Aaron, do you
580
:mind if we go get coffee so I can
learn more about your career?"
581
:Uh, and then, you know, you're able to
say, "Hey, Aaron, can I use those a- as
582
:a referral for this job application?"
583
:And I think so many people are, are scared
of that, are just not willing to do it.
584
:Or, or maybe it's just they don't see
the value in it because it's, it's
585
:kinda like planting a seed, right?
586
:It's like you don't
see the benefit- Mm-hmm
587
:the immediate benefit of
doing these social things.
588
:'Cause a lotta times social things or
networking doesn't actually lead to
589
:anything valuable ever, or it's, you
know, many weeks or months or years before
590
:it actually is something in- valuable.
591
:And I think people get so addicted
to the dopamine of, I just learned,
592
:you know, something new in SQL.
593
:I hit execute on the SQL query, and I
got the results- Yes … immediately.
594
:And they're like, ooh, dopamine hit.
595
:Mm.
596
:I'm, I'm making progress.
597
:And, and I think some- p- people
get so addicted to learning
598
:skills is how I land a data job.
599
:And it's really, they're getting
distracted is learning skills
600
:is how I get a, a dopamine hit.
601
:It's like there's no correlation-
Mm … between how skilled you are at
602
:SQL and how quickly, uh, you land a job.
603
:'Cause, like, I mean, you, you, like you
said, you dove in headfirst, you did the
604
:modules, you, you did the SQL modules.
605
:But it's like you couldn't have been
that good at SQL after six weeks of
606
:learning what SQL even meant, right?
607
:Compared to someone who's
been doing it for a year.
608
:But you were able to land a job in those
six weeks because you followed the full
609
:SPN method of learning some skills.
610
:Like, there was a bare minimum
amount of skills you had to have.
611
:You had a project with SQL in your
portfolio, and then your networking.
612
:Like, really it was all
three of them landed a job.
613
:And I think some people get so addicted
to the, the skills part of it that
614
:they kinda forget the other two.
615
:Like, do you agree with me
that, like- Oh, yeah Absolutely.
616
:I mean, I think you're touching on
something that's affecting our entire
617
:culture, uh, generally, is that,
you know, we have a dopamine hit
618
:in our pocket, like, all the time.
619
:And so it's kind of like we're
chasing that all the time.
620
:But the humanity and the person to
person has really been my whole career.
621
:I mean, the through line of my tr-
trajectory in all of my jobs has just
622
:been connecting with people, getting
to know people, working with people.
623
:How do I get this group of people
to do what I'm asking them to do?
624
:And now, how can I use this group
of people that I know to help me
625
:get to the place I wanna go next?
626
:Um, I completely agree.
627
:And yeah After like the first two
weeks on my job, I was like, "Yeah,
628
:no, I actually don't know anything."
629
:I was like, "I don't know what I'm…
630
:There's so many things that I don't know."
631
:You know, I was handed my-- I inherited
some codes and my first job was just
632
:like, "Okay, go learn the code."
633
:I didn't know how to
comment things in SQL.
634
:I didn't know that you could like hit the
little green button up at the top of SQL
635
:Server and like take a line of code out.
636
:I didn't know that you could run
like little chunks of code at once.
637
:I didn't know like really
how to join anything.
638
:I knew what the joins were 'cause I
knew what those little Venn diagrams
639
:were enough to say like, "Yeah, a
left join keeps the first table."
640
:But, uh, I didn't know the practical
application of that or what questions
641
:were really trying to solve.
642
:I just knew the skill.
643
:Um, and so yeah, I think all the other
stuff comes and, um, you know, and I
644
:was okay with it coming on the job.
645
:And, you know, I, I, I was very
straightforward, uh, after I, after
646
:I got the job to say, "Look, I'm
gonna make mistakes, you know.
647
:I anticipate that.
648
:Just be patient with me.
649
:I'll figure it out.
650
:You know, I, I am best
friends with Google.
651
:I, I am best friends with, uh, my coworker
up, up the cubicle, and, uh, I'll ask
652
:her, you know, if I, if I need some help."
653
:And, and I, I was able to
figure it out as time went on.
654
:Um, and I'm still…
655
:I mean, to this day, I'm still
figuring stuff out, you know.
656
:Like I have…
657
:Th- there are codes that I have lived
with for a year and a half now, and I
658
:look at it and I think, "Is this really,
is this really what I've been using?
659
:You know?
660
:Uh, or maybe I should do something
about this part at some point."
661
:Um, but you know, also when I took this
job, they had documentation that told
662
:me step by step what I needed to do.
663
:You know?
664
:They had it l- they had the
job written on paper for me.
665
:So every time, every time it came
around to I, where, when I needed to
666
:make my reports or whatever, I would
go down the checklist, do number
667
:one, do number two, do number three.
668
:And by the th- fourth or fifth time
of doing that, I was like, "Okay, I
669
:kinda know what the checklist is."
670
:And I'm now like looking at how to
validate this data and how to make,
671
:make sure that it's exactly what we
want it to be, and maybe ask some more
672
:intelligent questions than just doing the
job, uh, which is what I think they…
673
:Is, is where, you know, I, I've
been headed in my journey now.
674
:Um, but yeah.
675
:And I, I think it's just being open
to having, having those relationships,
676
:being okay with failing a little bit,
being okay-- And not even failing,
677
:just making mistakes, um, and being
okay with Not knowing and just take,
678
:I honestly, I, I'm all for taking
the leap and just going for it.
679
:It, it can be messy.
680
:I've certainly had some messy moments,
but, um, yeah, I still have a job
681
:doing the thing that I wanted to do.
682
:And you're getting paid to learn.
683
:Like, that's, that's the whole goal
is, like, we try to get you, uh…
684
:We teach you the, all you need to know
to land your first job, and then you can
685
:go get paid to learn the rest on the job.
686
:Because that's the best way to learn
anyways, because that way you're
687
:maximizing your time, you're maximizing
your wallet, and honestly, like,
688
:it's just the best place to learn
because you'll actually use everything
689
:you're learning at work versus
you probably won't use everything
690
:you learn in a school environment.
691
:So, um, I love that.
692
:One of the things you mentioned is, like,
you were, you were working, um, while
693
:you were trying to, you know, pivot to
data analytics, and you, and you talked a
694
:little bit about listening to the podcast.
695
:I don't know if that's, like,
the publi- public data career
696
:podcast or the member-only podcast
that you're listening to- Mm
697
:on your commute to work.
698
:Right.
699
:You talked about utilizing, you
know, your holidays, your sick
700
:days, those types of things.
701
:Um, what else were you, like, kind of
studying, getting these job applications?
702
:And was it early mornings for you?
703
:Was it late nights?
704
:Was it kind of all over the place?
705
:Uh, it was mostly in the evenings,
um, because I mean, my school would
706
:start at 7:20 AM, so I, I would
wake up at 6:30, which is late
707
:to be waking up to go to work.
708
:Um, and I was listening to
the members only podcast and
709
:the public podcast as well.
710
:But I was thinking about it all day at
school and trying to like, you know,
711
:plan what's my, what's my goal for today?
712
:If I can get through this SQL module
in the next two days, um, 'cause I
713
:guess my goal was to at least have
five projects, two S- I wanted the
714
:two SQL projects, I wanted the Tableau
and the Excel project for sure.
715
:Um, and then go from there.
716
:But yeah, I was using the evenings mostly.
717
:Um, and the weekends.
718
:I mean, I blocked off my
Saturdays and Sundays as well.
719
:Uh, was calling in, um, to like miss
choir rehearsal a couple times 'cause I,
720
:at that point I was just still a singer
and, um, I was using every free minute
721
:I could to just, to make it happen.
722
:But yeah, I mean, I really can't
stress enough, like if you don't
723
:use your sick days, you lose them.
724
:So just use them.
725
:Uh, that was probably the biggest
thing for me, was just taking
726
:the time off, um, to, to devote.
727
:We, we should also mention that, um,
you know, you're talking about the
728
:time to do all of this, that, um,
if I'm correct, you still haven't
729
:finished the program completely.
730
:Which, which I freaking love because
my, my, my point here is like,
731
:my job is to land you a data job.
732
:I don't care about you, you
know, finishing the program.
733
:The…
734
:If you finish the program
when you land a data job.
735
:Um, so like you're, you, you have a
certificate, like we, we celebrate
736
:you like, because you got a data job.
737
:You did, you did the hard part.
738
:Um, and I, I just wanna make that clear
because I think it's important that, you
739
:know, people realize, you know, we're,
we're all learning data for job purposes.
740
:We're not learning it for funsies.
741
:We're learning it to, to have a job.
742
:And you've, like you said, you've
done, you know, all of the, all
743
:of the SQL, and I think you've
done all of the Tableau as well.
744
:So like- Mm-hmm … you did everything
you were supposed to land that job.
745
:You learned everything on the job
and, uh, I think that's fantastic.
746
:I wanna talk about moving forward from
you, because by the time this episode
747
:comes out- Sure … it'll probably be
public knowledge that you're, you're
748
:taking a, a different job, kind of like
more of a, a dream passion job for you.
749
:Um, you wanna tell us a
little bit about that?
750
:Yeah, absolutely.
751
:So here we are yet again
with another career pivot.
752
:Um, but I am actually stepping into
the role of artistic director for
753
:our local LGBTQ+ chorus, Voices of
Kentuckiana, here in Louisville.
754
:Um, it's been in the works
for a while, uh, but I will be
755
:going back into music full-time.
756
:Um, so I, I, I'm also gonna be, um,
teaching choir temporarily at Bellarmine
757
:University and working as a pianist
at the University of Louisville.
758
:So, um, while I've been, you know,
working at Humana, I've also been
759
:continuing to invest in music and invest
in my network here in Louisville, and
760
:those have kinda come around and, uh,
now I'm stepping into this dream job.
761
:I mean, I'm gonna get to conduct a chorus
of, like, 110 adults, um, who perform all
762
:year long, um, music of all types, and
an advanced chorus of, like, 28 singers.
763
:Um, it's, it's kinda, it's, it's the kinda
job that people retire into, you know?
764
:It's like this is the job that
is just comfortable and fun and
765
:mission-driven and, um, it's in the
nonprofit sector as well, so I've got
766
:a lot of 501[c][3]3 and grant funding
paperwork that I'm gonna have to learn.
767
:Um, but, um, it really is a great, uh
convergence of all the skills that I've
768
:gained over my time, um, both at Humana
and teaching, teaching chorus as well.
769
:Um, yeah, I, I'm like so thrilled
that this is happening in my
770
:life, and it's really kind of
cosmically an unbelievable thing.
771
:So yeah, I'm excited.
772
:That's amazing.
773
:Um, I think, I think it's important to,
to always reflect that, like, for…
774
:I, I love data.
775
:I think data's very interesting, but if
you told me that I could, like, have a
776
:comfortable life doing sports stuff or
Pokemon stuff, I'd probably choose those
777
:things uh, o- o- over data as well.
778
:It's not like data's my
p- like, I love data.
779
:Data's really fun, but it's not
like if all things were equal in,
780
:in my life, like, if I could like…
781
:For instance, uh, I have a, a, a
friend right now that just moved
782
:over to Europe to play soccer.
783
:Um, they're not making very much
money- Oh, wow … and, like, I
784
:couldn't support my family doing that.
785
:But, like, I'm super jealous.
786
:Like, I wish I could just go, you
know, play professional soccer, you
787
:know, somewhere, somewhere else.
788
:So I think, I think it's awesome, like,
you're, you're following, uh, like,
789
:what your, what your true passions work.
790
:Like, I just think that's, that's great.
791
:Um, and, and one thing I wanted, I
wanna talk about was, like, you worked
792
:for, uh, a really big company, a really
big company in the US, like a behemoth
793
:of a company, and I did as well.
794
:I worked for, for ExxonMobil, which
is, like, one of the top 10 biggest
795
:companies in the United States.
796
:Um, and there's something to be
said about, like, corporate work,
797
:no matter what you do, sometimes
can be a little soul-sucking.
798
:When I was at Exxon, there was times
where I felt like I was, like, this
799
:tiny, tiny gear that, like, just keeps
spinning no matter what in, like, this
800
:huge, like, wall of different gears.
801
:And often it felt like even if
I stopped spinning the gear,
802
:everything kept moving on and that
my work felt a little meaningless.
803
:Um, do you wanna just talk about,
like, what it was like to work
804
:for a big company and maybe how it
differed from working from, like,
805
:for instance, a choir or a school?
806
:Yeah.
807
:I mean, I think you hit the
nail on the head already.
808
:Um, you know, a job is a job, is
a job, is a job, and it's always
809
:gonna come with pros and cons.
810
:And I found that moving from
teaching to this large corporation
811
:was quite a culture shock.
812
:Um, I really struggled.
813
:I, I have struggled with that the
whole time I've been at Humana.
814
:Um, and Humana overall, and my, my team
in general, they have a great culture.
815
:Everybody gets along really well.
816
:It's a very, very positive environment.
817
:However, there is just a, an element
of superficiality that comes with
818
:working in a large corporation.
819
:Um, lots of like, "We're
doing what's best.
820
:We're doing what's best for our members.
821
:We're doing what's best for our
people, for the world, for…"
822
:And sometimes it's really
hard to buy into that.
823
:Um, sometimes I've really struggled
feeling like my work actually mattered,
824
:um, that my voice was being heard, um,
that I, even if it would matter if I left.
825
:Um, at, at the end of the
day, I don't think it i- I
826
:think, I don't think it does.
827
:Um, I think that's just been
something that I've struggled with.
828
:Like I, like you said, I, I'm
kind of just a cog in the wheel.
829
:I'm definitely a low man on
the totem pole in that company.
830
:Um, you know, I Find it difficult
sometimes to connect with people who
831
:are higher up on the ladder than me,
'cause they're playing an entirely
832
:different game than I wanna play.
833
:Um, yeah, just to, just to actually
watch people play the corporate social
834
:ladder game is really exhausting.
835
:Uh, it's really kind of scary.
836
:Um, you know, I could…
837
:And, and, and this is not speaking
to everybody at the company for
838
:sure, um, 'cause there are gems
that work in that, uh, building.
839
:But, uh, but yeah, sometimes
it's really challenging.
840
:It's really challenging to watch
people put themselves through, like,
841
:a whole rigamarole and pretend that
things are really exciting and that
842
:transformation, the transformation
that our company's going through
843
:is so cool when, like, thousands of
people are being laid off, you know?
844
:So it's just kind of a really
strange culture at times.
845
:Um, so I mean, that's why I find it
really important to, like, connect with
846
:people who are on your level and just
kinda commiserate with what's going
847
:on and try to find the people who you
can really, like, be yourself with.
848
:Um, 'cause it's not always everybody.
849
:I mean, that's why it's so cool that
you're, you're taking on the, you
850
:know, this dr- new kinda dream job
'cause it's like you're definitely
851
:gonna feel the impact you're making.
852
:And before I worked for, for ExxonMobil,
I worked for a really small, uh,
853
:biotech company where I was, like, the
10th person hired, and it was, like,
854
:the exact opposite there, almost to a
fault, where it was like everything I do
855
:really matters, and if I, like, and if
I mess up, like, the company feels it.
856
:Uh, so there's…
857
:And, and that, that sucked in some
ways because it was, like, very,
858
:it was almost more high pressure.
859
:Um, but I definitely felt
my work was more meaningful.
860
:So I guess this is just to say
there's, there's pros and cons of
861
:big companies and small companies
and, you know, try to figure, figure
862
:out what's, what's right for you.
863
:Um, Mason and I both decided we like kind
of a smaller company, uh, standpoint.
864
:Um, but just something to be
thinking about on your job hunt.
865
:Okay, Mason, what would you say to maybe
someone that's a teacher right now, um,
866
:who's listening, or maybe someone who's
just an aspiring data analyst and they're
867
:like, they've been, like, struggling.
868
:Like, maybe they've been stuck in tutorial
hell or maybe they've been, you know,
869
:grinding- Mm … all these tutorials
but not really making any true progress.
870
:What would you, what
advice would you give them?
871
:I would say just make
sure that you prioritize.
872
:You know, if, if finishing those
tutorials is something that
873
:you wanna do, make it happen.
874
:Um, I kind of fi- found that I was letting
my exhaustion from teaching get in the
875
:way, and it's easy to be exhausted.
876
:But, um, I think if you need to take some
time for yourself to like-- or just take
877
:a time for a break, you should do that.
878
:Um, you should take some time off.
879
:You should invest in yourself, uh,
because at the end of the day, like,
880
:you're gonna be the one looking out
for you, and really you're the only
881
:one that knows what's best for you.
882
:And, um, you know, when I, when I
think about, you know, transitioning
883
:my career, like I thought that moving
to Humana was gonna be what's best for
884
:me, and it was, and then it wasn't, and
now I'm moving on to something else.
885
:And so I feel like life is just a big
series of decisions, so make some.
886
:That's it.
887
:Uh, if you were to talk to someone
who's maybe like been listening to this
888
:podcast quite a bit, been listening, been
looking at joining the Data Analytics
889
:Accelerator, but hasn't pulled the trigger
yet, what advice would you give them?
890
:Like, would you feel like it was
worth it for you in your journey?
891
:Um, I would say
892
:If you want it, keep going for it.
893
:And don't be afraid to change it up.
894
:Don't be afraid to change tactics.
895
:You know, uh, the amount of times that
I tweaked my resume, the amount of times
896
:that I ran it through that Skill Syncer,
um, to see if it would pass the AI test,
897
:um, the amount of times that I tried to
change wordings to make myself seem more
898
:fun or more financial or more logistical
or whatever, um, I just kept throwing
899
:stuff at the wall until it worked.
900
:Uh, and I would just say keep
changing, and, a- and if s- if it's
901
:not working right now, change it.
902
:Change, change what you're doing
and, and try something else.
903
:Um, I- it's definitely possible,
um, to break in to the field.
904
:Um, it's, it's hard just because, and
it's mostly gonna be about who you know,
905
:so, like, apply for hybrid jobs and
stuff and, and go network with people.
906
:But, um, keep doing it.
907
:Just keep doing it.
908
:And honestly just…
909
:But also invest in the
things that give you joy.
910
:Um, go out and join a dodgeball team or
a kickball team or go sing in a choir.
911
:Come sing in my choir.
912
:Um, like, just go out and do
something fun because you may
913
:meet the person that's gonna, you
know, help you find something new.
914
:It might not even be data.
915
:It may be something you don't
even know about yet, you know?
916
:Um, so just go out and meet
people and I, 'cause I think
917
:people are the best part of life.
918
:So invest in your people
and go find new ones.
919
:Amazing advice, Mason.
920
:Your, uh, your zeal for life is
infectious, and I hope everyone listening
921
:today, uh, takes even just a sliver
of, of your energy and your mentality.
922
:Guys, if you wanna change your data
career, it's 100% possible Thank
923
:you We have a bunch of links in the
description down below that can help you
924
:get started, including we'll have a, a
link to, uh, Mason's LinkedIn profile.
925
:You guys can kinda check out his story
and connect with him on LinkedIn.
926
:Mason, thank you so much
for joining The Data Career
927
:Podcast and sharing your story.
928
:I think it's gonna
inspire a lot of people.
929
:Thank you.
930
:Thank you for having me.
931
:I mean, again, this is
truly crazy incredible.
932
:Um, yeah, reach out to me on LinkedIn
if you want, uh, any advice or whatever.
933
:I'll do my best.
934
:I honestly, I haven't
been on there in months.
935
:But you should also follow,
um, our chorus at voicesky.org,
936
:um, on Instagram and Facebook
as well, Voices of Kentuckiana.
937
:Um, that's where I'm gonna be moving, so,
uh, you can keep up with, with me there.