Music therapist to Fortune 50 financial analyst in under 60 days. Here's exactly how Erin did it without a traditional background.
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⌚ TIMESTAMPS
01:20 – From music to Fortune 50
07:18 – What a good boss actually does
12:51 – 60 days from sign up to offer
20:18 – Applying while building skills
20:36 – One resume tweak, three interviews
23:03 – Stop only applying to remote jobs
28:39 – What the interview was like
34:40 – Do this if you're starting over
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You were working as a music therapist and
now you're able to work as a financial
2
:analyst for a Fortune 50 company.
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:I am a financial analyst
at a healthcare company.
4
:But you were able to land this,
this financial analyst role
5
:pretty quickly signed up, clicked
submit on the accelerator package
6
:like right before Christmas.
7
:Started actually like doing the
program right after Christmas.
8
:I.
9
:Job was on March 1st, which
was a Wednesday, and then that
10
:Friday I accepted my offer.
11
:That's not even 60 days.
12
:So one of the projects I think that
really helped me was the SQL Project
13
:and the Accelerator, the, that was
something that I talked about in
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:all of the interviews that I had.
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:Today I'm really excited about my guest.
16
:We have one of the, uh, members of
the data Analytics Accelerator who has
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:gone through a portion of the program
and landed a pretty sweet job that
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:we're gonna be talking about today.
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:Uh, my guest today is Aaron Sheena.
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:Aaron, welcome to the Data Career Podcast.
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:Thank you.
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:So happy to be here.
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:Yeah.
24
:So excited that you, uh, agreed to come
on the show and talk a little bit, uh,
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:about your, your journey, which I think
is something that's really unique and
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:something that needs to be told because
you have a pretty interesting background.
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:Uh, you studied music in school,
but you no longer work in music.
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:So let's start off with what
you're currently doing now.
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:What do you do for work now?
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:Sure.
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:So, um, I am a financial analyst, um, at
a healthcare company, um, called Humana.
32
:Uh.
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:Nationwide.
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:Um, and essentially I
work in risk adjustment.
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:Um, so basically looking at claims
data, the data that comes through
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:anytime you go to the doctor, um,
and make sure that we're analyzing
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:and filtering it correctly compared
to the government agency that runs.
38
:Medicare, um, and making sure that
we are kind of aligning with them so
39
:that we can predict how much we'll be
reimbursed for caring for those members.
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:Um, and so basically we then take that
analysis, um, and, uh, use it to help
41
:us predict revenue and make projections
for, um, both what we'll get paid for.
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:During this year and then
in future years as well.
43
:Um, so yeah, that's kind of
the, the really paired down, uh,
44
:version of, of what I'm doing
in a kind of complicated space.
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:But, um, yeah.
46
:Okay, sweet.
47
:That's awesome.
48
:So basically, you know, you have
two music degrees, I think you have
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:a bachelor's and a master's degree.
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:And now I think your official
title, is it a financial analyst?
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:Is that what it is?
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:Yes.
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:Yeah.
54
:Um, so I, it's two
bachelor's degrees actually.
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:I, um, my first one is in just kind
of general music, and then my music
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:therapy degree is another bachelor's.
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:Um, but, uh, yeah.
58
:So even less impressive, right?
59
:Well, I mean, that's perfect.
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:So, so two different music degrees, a
music degree and a music therapy degree.
61
:Mm-hmm.
62
:You were working as a music therapist and
now you're able to work as a financial
63
:analyst for a Fortune 50 company.
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:You know, solving problems when it comes
to healthcare billing, it sounds like.
65
:Mm-hmm.
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:Yes.
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:Correct.
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:That's awesome.
69
:That, and that's the journey that's
a little foreshadowing of what
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:we're gonna be talking about today.
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:So we're gonna get into what your
background is and, and how you
72
:got to where you're at today.
73
:Um, but also it does look like,
I mean, I'm no expert, you know,
74
:I don't work for Humana, but I'm
guessing that your background back
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:there is not the Humana offices.
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:So can you tell us a
little bit, are you remote?
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:Are you hybrid?
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:Are you in the office right now?
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:Uh, I'm not in the office.
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:I'm in my office.
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:Um, at home I am, I'm a hybrid employee,
so I do have one office day per week.
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:Um, Humana is like headquartered
in Louisville where I'm from.
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:Um, and so my team meets in the
office on Wednesdays and, um, which
84
:works for me really well since
I am a very extroverted person.
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:Um, but the rest of the
time I am at home remote.
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:Um, it's actually rare that I'm.
87
:In my office area instead of on the couch.
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:So that, that's awesome.
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:Um, and I'm guessing that was not the
case as a music therapist, am I right?
90
:Uh, it was not, no.
91
:I spent, um, every day, even through the
pandemic, um, every day at the hospital,
92
:spending most of my time in patient's
rooms, um, sitting with them and, and
93
:providing music and, um, you know,
going through that therapeutic process.
94
:Um, so a remote job was, uh.
95
:A very big change for me.
96
:Okay.
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:And, and how has it been?
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:I, I know you mentioned that you're
extrovert is, are you lonely at home?
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:Is it is, do you get enough interface?
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:Do you get enough support from your team?
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:Yeah, I'm really, really lucky.
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:My team is super, super supportive.
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:Um, we use Microsoft Teams,
so I, I am my boss constantly.
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:Um, you know, whether she likes it
or not, but, um, I, I do feel like
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:I get enough kind of interaction
and, um, I really love my team.
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:And getting to see them on Wednesdays,
but it's also really nice to just kind
107
:of be relaxed at home while I'm, you
know, working on, um, on my analysis and
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:on, you know, all of my, my daily tasks.
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:Um, and it, it feels.
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:It feels very like, right.
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:The pace is still good.
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:I'm still, you know, kind of challenged
every day, but it's much different
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:than, um, you know, having to like,
go into the hospital and, and kind
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:of be part of that crazy environment.
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:That's awesome.
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:I I love hearing that because I love
that you're like, yeah, I'm, I'm in
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:my o my own office today, but to be
honest, my real home office is my couch.
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:I think that's awesome.
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:Um, that you have the opportunity, you
know, the commute in the morning from the
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:bedroom to the couch must be very mm-hmm.
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:You know.
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:Full of traffic and stuff like that.
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:Uh, but, but you know, all jokes aside,
you had to deal with like a commute.
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:You had to deal with traffic
in your last, last job.
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:Right?
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:That was a, a decent amount of driving.
127
:Yeah, I, I'm very lucky that I live close
to the hospital, um, where I was working.
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:But yeah, I mean, it's, I still had to
get on the interstate, um, and, you know.
129
:Make my way.
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:Um, sometimes traffic was worse
than others, but it's, yeah.
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:I, uh, I much prefer when my dog is
the only one that's in my way trying
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:to, trying to get to the office now.
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:Yeah.
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:That, that is awesome.
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:Um, I also have a dog and I can
testify of the power of having
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:your, your dog as your coworker.
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:It is like so much fun.
138
:Mm-hmm.
139
:Um, and, and now, I mean, one of the
things that you probably couldn't do as
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:easily when you were doing the hospital
visits is like, for instance, oh.
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:Let's take, let's take the dog out
for a walk or you know, I got to
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:feed the dog or I gotta take the
dog outside, or something like that.
143
:So I imagine that's gotten a lot easier
since you've been able to work remotely.
144
:Yes.
145
:Yeah, basil, my dog is, uh,
she is, her quality of life has
146
:increased even more than mine.
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:So that's awesome.
148
:And that's what matters most, right?
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:We don't, we don't really care about
our own lives, it's just about our Ps.
150
:Exactly.
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:Yep.
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:Exactly.
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:Okay.
154
:Awesome.
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:Um, and you mentioned that you're
able to, I am your boss, and
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:that communication's going well.
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:'cause one of the questions I get
is, you know, I want a remote job,
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:but I'm also new to this field.
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:And I'm kind of nervous that like, I'm
not gonna be able to get enough training
160
:or get enough support from my team.
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:You felt like that's been
pretty good at Humana then?
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:Yes.
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:Yeah.
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:Um, my boss is a really,
really wonderful mentor.
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:Um, and.
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:The, the kind of professional and
personal development that, um, my
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:company invests in, um, has been
a really, really good support.
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:Um, there are lots of like modules
and things that are provided just
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:like by default from the company.
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:Um, but then also my boss has been
really wonderful and, you know, we'll
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:hop on a Zoom and I'll share my screen
and, you know, I'll say like this,
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:I think this is what's giving me a
problem, but, um, I can't, you know,
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:figure out what I need to change or.
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:What does, what does this actually mean?
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:Um, and she can tell me and she'll
kind of help me puzzle through it and,
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:and figure out, um, you know, where I
went wrong or how I should approach it
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:in the future or what, what to tweak.
178
:Um, and so that's really, really helpful.
179
:That's awesome.
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:So you not only have, like your boss,
you're able to, you know, message
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:anytime you get stuck, but you also
have some sort of provided learning
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:so that you're not like, stuck with
the skills that you're at right now.
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:You can kind of upskill as you
go, it sounds like as well, right?
184
:Mm-hmm.
185
:Exactly.
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:Yes.
187
:Yeah, my, uh, my next thing to tackle
is, um, getting into some python for like
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:moving data from one place to another.
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:So, um, I'm excited to get started
on that in the next couple of weeks.
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:Sweet.
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:That's awesome.
192
:Very cool.
193
:Um, okay, awesome.
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:So actually, wh while, while
you've mentioned Python mm-hmm.
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:Let's talk about, as you know, an entry
level financial analyst new to the field.
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:What type of, what type of tools
are you using on a day-to-day basis?
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:Yeah, so biggest one is sql.
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:Um, we use SQL Server.
199
:Um.
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:And kind of the whole, like
Microsoft Suite, all of that.
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:Um, lots of excel for the kind
of like financial part of it.
202
:Um, but most of my analysis
and most of the testing that
203
:we're doing is within sql.
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:Um, and yeah, that's been, it's
been really fun to kind of take,
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:uh, the skills that I know like.
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:Uh, just in my own little like, simple
projects into, you know, actual like
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:millions and millions of rows of data.
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:Um, and, you know, see,
see how it translates.
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:Yeah.
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:I'm sure some of it is very similar, like,
like you kind of have the base for it,
211
:but it's probably like you're doing things
you might not have necessarily expected.
212
:Um, and using things kind of in a new
way with his, with his new application.
213
:Mm-hmm.
214
:Yes.
215
:Yeah.
216
:There and there's a lot
of, um, kind of logical.
217
:Like analytical thinking.
218
:Um, and you know, that's part
of the learning curve of, of.
219
:Going into, you know, this specific
industry, um, like healthcare.
220
:I thought, you know, being in the
hospital every day, I thought I knew
221
:all of the acronyms, um, that came
with like the medical, you know, field.
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:Um, but apparently I didn't.
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:Health insurance is
like totally different.
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:So, um, yeah, lots of acronyms.
225
:Um, lots of kind of the, the
logical analytical thinking to get
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:from point A to point B and then
figure out how to get there in sql.
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:Okay.
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:I love that.
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:And that's something that we
didn't necessarily talk about.
230
:We, we, I mean, we mentioned
your background, we
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:mentioned your music degrees.
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:We, we said the term music
therapy a couple times.
233
:I wasn't familiar with
music therapy beforehand.
234
:So, um, maybe, if you don't mind,
will you just give like a, a quick
235
:introduction to what you were doing?
236
:You kind of mentioned it
earlier, but if I was, if I was a
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:5-year-old, what is music therapy?
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:Sure.
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:So, um, you know, the go-to line, I
guess, is that music therapy is using
240
:music to accomplish non-musical goals.
241
:So, um, in the hospital, what I was
doing most of the time was using music
242
:for decreasing pain, decreasing anxiety,
um, kind of providing that additional
243
:emotional support, um, that people often
don't get, um, especially when they're
244
:going through something that is, you know.
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:Potentially like traumatic and scary
for them, like being in the hospital.
246
:Um, and you know, we worked
really closely with our like
247
:hospice and palliative care team.
248
:Um, so a lot of, uh, folks
who were going through kind of
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:the end of life process, um.
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:And Yeah, that's kind of what
my, my daily life was like.
251
:Yeah.
252
:And, and I think that's important to
realize because one of the tips that
253
:we, that we talk about throughout
the data analytics accelerator is,
254
:can we find you a stepping stone job?
255
:Right?
256
:Because you're new to this
world of, of data, right?
257
:You're, you're new to this world of data.
258
:You had no prior, you know, math
jobs or science jobs, right?
259
:It was, it was the music stuff, right?
260
:Um, but you were able to land this.
261
:This financial analyst
role pretty quickly, like
262
:within, within about 90 days.
263
:I was looking, I was trying to look, find
our exact, when you told me you had the
264
:interview and you had the offer, um, and
when you joined, you joined like right
265
:before Christmas, and then I think you
started working like mid-March, right?
266
:Mm-hmm.
267
:Yes.
268
:Yeah.
269
:Um, so I, I like, you know, signed up,
um, clicked submit or whatever on the.
270
:Accelerator package, like
right before Christmas.
271
:Um, started actually like doing the
program right after Christmas, like the
272
:week before Christmas and New Year's.
273
:Um, and I, I think my job.
274
:The interview was on March 1st, um,
which was a Wednesday or whatever
275
:the Wednesday was that week.
276
:And then that Friday I accepted my offer.
277
:Um, so yeah, I was,
uh, not expecting that.
278
:Um.
279
:That's not even, that's not even 60 days.
280
:'cause February is not even 30 days.
281
:Right.
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:So that's basically Right.
283
:Yeah.
284
:So that's awesome.
285
:Um, and absolutely incredible.
286
:Congratulations.
287
:Thank you.
288
:I cut you off.
289
:Thank you.
290
:Keep, keep talk, talking us
through that, through that journey.
291
:Yeah.
292
:So, um, I should back up and say that part
of what I was doing, um, before kind of
293
:getting into the, into the accelerator
bootcamp, um, you know, when I.
294
:Was looking into data analytics as
a potential, you know, career move.
295
:Um, I did kind of what anybody does and
just Googled it, um, and landed on the
296
:Google, the Coursera, like Google mm-hmm.
297
:Data analytics program.
298
:Mm-hmm.
299
:Um, and I was doing that for a while.
300
:I think I started that
sometime in the summer.
301
:Um, last year.
302
:Felt, um, like I was understanding things.
303
:Um, I didn't.
304
:I didn't have any, you know,
foundational knowledge besides
305
:like, using Excel for budgeting.
306
:Um, and you know, I think it was a really
good introduction into like, what is data
307
:analytics and all of that sort of thing.
308
:But I didn't, um, I made it like
three quarters of the way through,
309
:but I didn't feel like I could like
actually apply my knowledge in a
310
:way that was, um, helpful for me.
311
:I was like understanding it as I was going
through, but there wasn't a lot of like.
312
:There weren't any steps after that.
313
:So, um, I was looking for something
that was just more hands-on
314
:and more like active for me.
315
:Um, that's how I tend to learn best.
316
:And so I was, you know, just kind of
looking to see what was out there.
317
:And, um, I think, I think you had
a sale going on, I saw on LinkedIn
318
:and I was like, that sounds good.
319
:Um, you know, most boot camps are
like five grand plus, and you know,
320
:that's not something that in my.
321
:Previous job that I could even consider
budgeting for, um, in any kind of,
322
:you know, uh, reasonable timeline
for wanting to make a career move.
323
:So, um, I was like, sounds great.
324
:This guy's cool.
325
:I'm gonna just do this
and see where it goes.
326
:And so from there, that's kind of
when I, uh, started like doing.
327
:Doing the Analytics Accelerator
Bootcamp, um, and the curriculum,
328
:and I think it, that is what really.
329
:Made a big difference for me.
330
:Yeah.
331
:I, I think, I think your story
is, you know, very similar.
332
:In fact, someone emailed me today and
said, you know, how is your program
333
:different than the Google data cert?
334
:Um, which is, which is a
common question, um mm-hmm.
335
:And I think, I think you kind of
nailed it, like actually applying
336
:what we're, what you've learned.
337
:Right.
338
:Um, and then really focusing on creating
the projects and the networking.
339
:Right.
340
:Because mm-hmm.
341
:At the end of the day, if you don't
have the projects, you don't have the
342
:network, it's a lot harder to land
that job and then also just doing it.
343
:Mm-hmm.
344
:With someone, like someone that's
able to, you know, talk to you.
345
:I know you were pretty active on our
community, so having all the peers
346
:around you, uh, I think, I think that's
pretty helpful for, for most people.
347
:Um, and the other thing you
did really well is, and I mean,
348
:I, I think this was helpful.
349
:You can tell me if I, if I'm wrong, um,
but you were trying to land a data job.
350
:You don't have necessarily the,
what people would consider the
351
:traditional or the ideal background.
352
:I don't think there is a traditional
or ideal background for data analytics,
353
:but that's, that's besides the point.
354
:Um, but you found this job inside of
healthcare and you have been working
355
:in healthcare as this music therapist.
356
:You've been visiting hospitals, like you
said, you know, hospitals speak a little
357
:bit like the acronyms and stuff like that.
358
:Did that play a role in
helping you land this job?
359
:Like, was that helpful to
know the hospital stuff?
360
:Yeah, I think so.
361
:Um, you know, especially during
my interview process, that was
362
:something that I spoke to a lot.
363
:Um, you know, and having kind of that
background knowledge of just how the
364
:industry works, um, and understanding
like, yeah, I might not know like the
365
:backend of health insurance, but I
know like what these things mean and
366
:I know, you know, kind of why things
are set up the way that they are.
367
:Um, even if, I dunno the details of like.
368
:How, how it works on the backend.
369
:Um, and one of the projects I think that
really helped me kind of be able to speak
370
:to that was the SQL project, um, and the
accelerator, the, um, healthcare analysis.
371
:That was something that I talked about
in all of the interviews that I had.
372
:Um, and they were really, really
interested to know, you know, not
373
:only to see that I had some SQL
skills, but also just to see like.
374
:I had used my prior knowledge and
like, um, how I had applied that
375
:understanding of the industry
to the analysis, like with sql.
376
:Um, so that I think was
really, really helpful for me.
377
:Um.
378
:Yeah, in that whole interview process,
gosh, I actually, I mean, I should have
379
:realized that, but I didn't even, I
didn't even realize that, and that's so
380
:cool because they were like, Hey, we're
hiring for a financial data analyst role.
381
:The the hope is that someone
will understand data analytics,
382
:they'll understand sql.
383
:They'll, they'll understand
hospital, or I guess healthcare data.
384
:And you were like, oh, well here's a
project I've done that you can read
385
:where I analyzed, I can't remember
how much data is in that one, like 1.6
386
:million rows of hospital data.
387
:Mm-hmm.
388
:And like looked at outcomes and
like looked at like what procedures
389
:led to these different things
and how race played in role in
390
:the hospital and stuff like that.
391
:And you're like, just, here you go.
392
:This is, this is my evidence.
393
:Right.
394
:Are you interested, Uhhuh?
395
:That must have been really
powerful for the recruiter.
396
:They're like, oh.
397
:Wow.
398
:Uh, SQL project with healthcare data.
399
:I'm, I'm sure they didn't have
very many other projects like that.
400
:If I were to guess, I don't know.
401
:But if I were to guess, I don't
know who else applied, but
402
:apparently I did something right.
403
:So, yeah.
404
:'cause, 'cause you interviewed and then
like three days later had an offer.
405
:Mm-hmm.
406
:Yeah.
407
:That's amazing con that's so amazing.
408
:Congrats.
409
:Thank you.
410
:Um, one, one of the things I just wanna,
I wanna highlight, um, that makes me
411
:so happy to hear, because when I was
designing the, the analytics accelerator,
412
:I was like, okay, we have to do projects.
413
:And to be perfectly honest, uh,
when I first got into helping people
414
:land data jobs, I, I had the same
philosophy that projects were the way.
415
:But I had a little bit of a
different twist where I was
416
:like, projects should be fun.
417
:It's always fun.
418
:To do your own personal data.
419
:So when I originally launched my
bootcamp, all of the projects were
420
:actually from your own life, like
your own screen time on your phone,
421
:the data, the, the music you listen
to, you know, and stuff like that.
422
:And that those projects were really fun
and I think they were very impressive
423
:to recruiters and hiring managers.
424
:They were a little bit harder because it's
just hard, keep getting your own data.
425
:But now that we've transitioned to.
426
:Using data from all the
different industries.
427
:I'm so happy to hear that we, when
I was choosing the nine industries
428
:for the nine projects, I was like,
man, there's so many industries.
429
:Which ones did we choose?
430
:And I'm so glad to hear that the
healthcare and the SQL combo was
431
:at least useful for one person.
432
:That's so good to hear.
433
:Yes, yes, for sure.
434
:Um, and actually I think just
having the projects in general
435
:and having the specific, um.
436
:Like specific tools for a
specific project, um, I think
437
:was really, really helpful.
438
:Um, and, you know, maybe
just also to highlight, uh,
439
:another aspect of the bootcamp.
440
:Um, I think the difference for me, I
was applying to things, um, kind of,
441
:you know, throughout the whole, uh.
442
:The time that I was, you
know, doing all the modules.
443
:Um, and I wasn't really getting
a lot of bites and, you know,
444
:kind of trying to network and,
and get referrals for, for jobs.
445
:But, um, I think the thing that made
the difference was having, I went
446
:to one of your, um, I don't remember
if it was a live session or just a
447
:module, but, um, all about resumes
and like optimizing your resume.
448
:Um, and so I added like.
449
:Literally, as I was watching, I
was like, okay, I'm gonna add these
450
:links to my portfolio projects.
451
:I'm gonna add, you know, a blurb about
what I learned, what I analyzed, what
452
:I, and why, um, and what I found.
453
:Um, and I like sent off a round of,
of applications kind of with that new
454
:resume, with my projects added like
an actual section, not just a link
455
:to my, um, to my portfolio site and.
456
:I like literally had three interviews
lined up for like that same week.
457
:Wow.
458
:From just that difference.
459
:Um, and that was, you know, one of the,
one of those interviews that I had is
460
:the role that I ended up accepting.
461
:So, and yeah.
462
:Did you, did you apply to that
job or did, did they find you?
463
:So I applied for it.
464
:Um, I have, uh, I know several people that
also work for Humana and I had someone
465
:who was willing to let me be a, um.
466
:Or be, you know, my referral.
467
:Um, so definitely worked kind of with my
network and, and connecting with people,
468
:um, to get my in, um, Humana as a company
that I have, you know, uh, considered
469
:working for, for, for a long time.
470
:Um, and you know, I know just
from having those personal, uh,
471
:relationships with people here, um.
472
:They're, they treat their
employees really well.
473
:And so I was like, oh yeah, that's
like a company I really wanna work for.
474
:So, um, that's kind of how I was
focusing my, my networking attention.
475
:Um, but yeah, I had very, very quick
turnaround from submitting those
476
:applications to hearing from recruiters
for the, the specific positions.
477
:Okay.
478
:There's a lot there I wanna unpack.
479
:Um, number one, did you apply on like
LinkedIn jobs Indeed, or on their website?
480
:On their website.
481
:Um, so I found them on LinkedIn,
but I went to the website to apply.
482
:Okay.
483
:Um, yeah.
484
:Okay.
485
:Two.
486
:Um, one of the things I wanna, I wanna
highlight here is, um, I don't know if
487
:you remember this, but the job, the job
description, it probably said hybrid
488
:on the job description, do you think?
489
:Mm-hmm.
490
:Or do you say in mm-hmm.
491
:Okay.
492
:And I wanna highlight that because I've,
no, this is like a super underrated play
493
:that everyone is sleeping on right now.
494
:And that's the idea of hybrid jobs.
495
:Mm-hmm.
496
:Everyone is like, oh, I
don't wanna be in person.
497
:Right.
498
:So they, they go and they go
to LinkedIn jobs, they use
499
:the Boolean search for remote.
500
:Mm-hmm.
501
:And they're competing with literally
thousands of other people for these
502
:remote jobs, because literally you
can be all over the US or the world.
503
:Right.
504
:And be an applicant for this job.
505
:Mm-hmm.
506
:But like your role, you're in the office.
507
:Like what?
508
:Eight hours a week on Wednesday.
509
:Mm-hmm.
510
:Like, if you want to like, you know, work
from home, from, you know, the rest of the
511
:days, you can, if you wanna, I don't know
Humana's exact policy, but let's just say
512
:you wanna go visit your, your parents,
or I don't know, your brother, right.
513
:You could, you could go, mm-hmm.
514
:You could leave Wednesday night and
come back home, you know, Tuesday night.
515
:Like that's like a week that you could
be working somewhere else, like you're.
516
:Not quite remote, but
you're 90% there, right?
517
:I guess.
518
:I guess literally 75%, right?
519
:Or what, what, what?
520
:80% there.
521
:Um, yeah.
522
:80.
523
:Yes.
524
:But, but it's, but it's
pretty good, right?
525
:Mm-hmm.
526
:Yeah.
527
:And, and like I said, I am a really
extroverted person, so I really
528
:like, you know, I, I think we get
less done on Wednesdays than we
529
:do, like when we're all remote.
530
:Um, you know, 'cause we're.
531
:Catching up with each other and, uh,
you know, socializing a little bit.
532
:Um, but yeah, we have, my team
has a lot of freedom outside of
533
:those, those, uh, in-person days.
534
:And, you know, if you do need to take
a, a remote day, that's also fine.
535
:Um, you know, I had a coworker
yesterday who was like, yeah, I just.
536
:I'm not feeling super well,
not well enough to not work,
537
:but can I just stay home today?
538
:And my team was like, yeah, of course.
539
:Just call into the meeting
that we have and we'll be fine.
540
:Um, so there's a lot of flexibility there.
541
:That's, and that's awesome.
542
:And I think people are like,
no, I only want a remote job.
543
:But the hard thing is like when
you're doing a remote job, you're
544
:competing with people you know,
not only in Louisville, right?
545
:You're competing with people all over
the country, but if you're hybrid mm-hmm.
546
:That job pool that they're selecting from
the candidate pool is so much smaller.
547
:And so you can stand out so
much more as a candidate.
548
:Um, the third thing I wanna mention is,
you know, you mentioned the referral.
549
:Mm-hmm.
550
:And people are gonna be like,
well, okay, I don't know anyone.
551
:You know, I, no one's gonna refer me, but
the people that referred you, what, what
552
:part of the company do they work for?
553
:Uh, not mine.
554
:Um, yeah, it's, uh, there are several
organizations kind of within Humana.
555
:Um, and they are in one that
is parallel with mine, but
556
:they are not in finance at all.
557
:Um, and so, you know.
558
:They, I even asked her, she, she like,
looked into some of the jobs when I was
559
:talking with her and she was like, yeah,
I don't know these hiring managers.
560
:Um, but I know this person who, um, you
know, worked with this other person and,
561
:you know, she kind of connected some
dots, but she, I didn't know, she didn't
562
:know anyone personally who was like, in
charge of hiring or, you know, the next
563
:like three steps up, um, from my manager.
564
:So, um.
565
:Yeah, I think it's a powerful thing
to, even if you aren't, if you can get
566
:a referral from someone, um, even if
they aren't directly involved with.
567
:The position that you're applying
for, I think it's really, really
568
:worth it to try to, you know, still
build those relationships and, um,
569
:and see if they can help you out.
570
:Yeah, a hundred percent.
571
:Like when I'm working with a lot
of people, they're like, Avery, I
572
:don't know anyone to get referrals.
573
:And the answer to that is bull crap.
574
:Unless you're like your brand new
to the country and you've never,
575
:like, you don't speak English, or
like you haven't really met people.
576
:Like, you at least know
someone who works somewhere.
577
:Mm-hmm.
578
:And sometimes, mm-hmm.
579
:Sometimes, sometimes that person's
gonna work at like, as a grocer at
580
:like, at like Smith's family grocer
and like, that's not gonna be useful.
581
:But like you've probably have at least,
you know, 20 contacts in your phone.
582
:Like open up your phone and go through
one by one and just be like, okay,
583
:Paul Adams, where does he work?
584
:Alejandra und, where does he work?
585
:Paul Alstrom, where does he work?
586
:You know, and think through.
587
:Do these people work for a company that
have an opening for a data analyst?
588
:Yes or no?
589
:Mm-hmm.
590
:And if they do, it doesn't matter if
they're in marketing or if they're
591
:in sales, or if they're, you know,
really doesn't really matter because
592
:the company just wants to kind of.
593
:To hire good people.
594
:And if that person's at that
company, that's probably because they
595
:think that person's a good person.
596
:Mm-hmm.
597
:And so if that person has a friend,
that's probably also another good person.
598
:And so just having any sort of
referral from any company employee,
599
:I think is worth exploring.
600
:And I think it gives you a
leg up in the application.
601
:So I think a job well done from you,
because you went for the hybrid, you
602
:went for the referral, and I mean,
that's what allows you to, you know,
603
:do an interview and then bam, you
have an offer like two days later.
604
:Yeah, it was, uh, it, it wasn't a
short process, you know, from, uh,
605
:starting getting into data at all to,
um, you know, accepting a job offer.
606
:But I think, um, the, the, the steps
that I took in the last, you know,
607
:couple of months of that journey, um,
really, really made the difference.
608
:And, um.
609
:Yeah, a lot of it was kind of
prompted by the accelerator
610
:program, so thank you for that.
611
:Yeah, of course.
612
:We're, I'm so glad it
it worked out for you.
613
:Mm-hmm.
614
:Um, okay.
615
:Before we let you go, I gotta ask you a
few more questions about the interview.
616
:Sure.
617
:Was it, was it technical?
618
:No.
619
:Um.
620
:Uh, and maybe part of it was because I
had projects to kind of show what I knew.
621
:Um, but we didn't, there wasn't like an
assessment for me, um, for any of the
622
:jobs that I interviewed for, you know,
kind of in that round of interviewing.
623
:Um, I talked about my projects a lot.
624
:They ask questions about the projects
themselves and kind of specifically what
625
:learned like the projects you had done.
626
:Learned.
627
:Yes.
628
:Yeah.
629
:So, um, the, the healthcare
one, um, I talked about.
630
:Um, oh, I forget which is which now.
631
:But, um, I talked about the, I
think Massachusetts education one.
632
:Yeah.
633
:Uhhuh.
634
:Um, I talked about that one.
635
:I talked a little bit about
the data visualization one
636
:that I had on my portfolio.
637
:But, um, yeah, I like, they would ask me
specific questions about, you know, like.
638
:What was your process with this?
639
:What did you know?
640
:How did you come to this conclusion
based on this data and, um, things
641
:like that rather than like, you
know, here is a, a data set.
642
:Can you query this?
643
:Like, I didn't have to do any of that.
644
:Like really, really technical stuff.
645
:I think because they could see that I
knew, you know, how to at least do it.
646
:Select from where statement, and then they
could ask me those deeper level questions.
647
:Um, yeah.
648
:Based on my portfolio, I think that's so
powerful because one of the things we talk
649
:about in DAA is that a lot of times the
people interviewing you are busy people
650
:and they don't wanna be interviewing you.
651
:And so they're coming in with
questions five minutes before
652
:they're actually doing the interview.
653
:That's not true of everyone, but a lot
of the times I've, I've hired people
654
:and I know that I've done that before.
655
:Mm-hmm.
656
:And so sometimes if
you give them projects.
657
:All of a sudden you just gave them
material for them to ask you questions
658
:about, and you kind of flipped the
interview where you're, you've almost made
659
:the interview about stuff that you know
and stuff that you've done versus them
660
:just like randomly asking you questions.
661
:Um, which I think is really, it
makes it way less nerve wracking and
662
:it makes you look more impressive.
663
:So I think, I think that's mm-hmm.
664
:A, a win-win.
665
:So overall, you felt prepared and
it was just the, the one interview.
666
:Uh, yes.
667
:So for the role that I had, um, it, it
was in person, um, which was helpful
668
:for me, um, because I, I tend to do
really well when I'm talking to people
669
:and, um, feel less nervous than, you
know, if I'm, um, if it's like a phone
670
:interview or something like that.
671
:Um, but we did, it was one.
672
:Day.
673
:Um, but interviews with
several people on the team.
674
:Um, but we had really similar
conversations kind of between that,
675
:um, as pertains to kind of their
role and, and the difference between
676
:the role that they're hiring for.
677
:Um, but yeah, I felt really prepared.
678
:I felt, um, like I knew what I was
talking about, kind of going in.
679
:I obviously had done these whole
projects and could speak on them.
680
:Um, and so that made me
feel really confident in.
681
:My skills and also in my like,
you know, presence and, and being
682
:able to really engage with them.
683
:Um, instead of being worried about,
you know, am I gonna remember how
684
:to, like what the syntax is for
this, you know, specific thing
685
:that they're gonna ask me about.
686
:Yeah.
687
:That's, that's awesome.
688
:Um, I love that the
projects brings confidence.
689
:That's an important takeaway.
690
:Mm-hmm.
691
:Um, yeah.
692
:Okay.
693
:And then, uh, we did have a question here.
694
:Um, you can answer this to your heart's
content, um, as much as, as you do or not.
695
:Um, but the question is, did you feel
the need to negotiate or were you
696
:pretty happy, uh, with your offer?
697
:So, um.
698
:As I mentioned, I had interviews
for three different roles, um, kind
699
:of, you know, all at the same time.
700
:Um, it was that like last round
of applications that I sent
701
:in after changing my resume.
702
:Um, had all those interviews within, you
know, that same week, the, um, the ones
703
:on that Wednesday where the last ones.
704
:Um, and a, the recruiter contacted
me, um, and actually said that I had.
705
:Um, gotten offers from all three and
that they wanted to, that they wanted
706
:to, um, you know, see what was my
preference and that sort of thing.
707
:And I didn't negotiate with numbers
necessarily, but I said that a, um,
708
:salary would put play a, a part in
my decision of which role to take.
709
:Um, and so I asked if they could give
me, you know, a range for each one.
710
:Um, so they came back with that and, um.
711
:You know, told me the ranges of what,
what they could offer for each role.
712
:Um, and then I was really happy that
the, the one that I had wanted the
713
:most did actually have, you know, the
highest offer as well, the highest range.
714
:Um, and so I, you know,
happily took that one.
715
:Um, so I didn't have to
necessarily negotiate.
716
:Um, and then when I like
accepted that offer, they.
717
:Um, said it was gonna be the, the highest
end of the, of the range they'd given me.
718
:They just gave me that top number.
719
:Um, so you got what?
720
:You got what you wanted?
721
:Exactly.
722
:Yeah.
723
:I didn't have to like,
you know, negotiate like.
724
:Face-to-face with somebody, but, um,
you know, letting them know that that
725
:was an important part of my decision.
726
:I, I think that's good.
727
:Um, we, you know, a lot of people will
talk about negotiating, um, and I think
728
:I'm probably not the, the best teacher
of negotiation, if I'm being honest.
729
:I've never really negotiated that
much, but so many students in
730
:our program have just been so.
731
:Happy with the offer that they get,
that, that, I mean, negotiating
732
:is always probably a good idea.
733
:Uh, but anyways, a lot of people
have just been super happy that
734
:they're like, I'll take it.
735
:I'm so, so stoked with this.
736
:Right?
737
:If someone offered me $10
million right now to go work
738
:for them, I'm not negotiating.
739
:I'm taking the 10 million
million dollars right.
740
:And, and I mean, uh, kind
of the same idea there.
741
:Um, mm-hmm.
742
:Okay.
743
:So one with this, uh, any advice that
you'd like to give to people with
744
:non-traditional backgrounds, people
with, um, maybe music backgrounds?
745
:What, what would you say and, and
that helped you in your journey?
746
:Or what, what advice would you give them?
747
:Yeah.
748
:Um, so number one piece of like
actionable advice is to do projects.
749
:Um, do projects that are based on
skills that you have or, you know,
750
:the industry that you have, and then
also ones that, um, show that you
751
:have knowledge for where you wanna go.
752
:Um, so if it's healthcare, if
it's, um, you know, marketing, like
753
:whatever you're trying to kind of.
754
:Break into, do projects with that
show that you know how to use the
755
:technical skills, um, in that industry.
756
:Um, and then just in general, I think,
um, something that I realized through
757
:my journey was that even if you are
like just starting and you don't really
758
:have a whole lot of like foundational
knowledge, um, to go off of, you are.
759
:Um, more capable and you know, a
lot more than you think that you do.
760
:Um, you know, everything
transfers to everything else.
761
:Um, I guarantee that there's
something that you, like do in your
762
:daily job that relates to, you know,
your, your data analytics learning.
763
:Um, and I think that if you have started
on this journey and you know, are, um.
764
:Even if you are at the beginning,
you've done the hard part of like
765
:making the decision and starting.
766
:Um, and so now it's just about consistency
and you know, keeping that going.
767
:I, I love that.
768
:I hope you guys listening
take that to heart.
769
:Keep in mind that was a music
therapist telling you that you have
770
:something in your current job that
is relatable to data analytics.
771
:If you asked me like the most opposite
of a data analytics job ever, I might
772
:say a music therapist, but you're
absolutely right Aaron, that no matter
773
:what you're doing, you can relate
something to what you're currently doing.
774
:It is experience for a data analyst job.
775
:So, you know, don't be discouraged
when you see, you know, one
776
:to two years of experience.
777
:Two to five years of experience.
778
:You have some sort of experience
that you can draw and I loved the
779
:advice, uh, on doing projects.
780
:So, uh, Aaron, thanks so
much for being on the show.
781
:Uh, we'll have your LinkedIn down
below in the show notes that people
782
:can connect with you and, uh, just
so excited for you and your journey.
783
:Aaron, thanks for sharing
it with all of us here.
784
:Thanks so much for having me.
785
:Yeah, no problem.
786
:Um, okay, great.
787
:Thanks everyone for listening.
788
:If you guys are listening live
on YouTube or LinkedIn, uh, we
789
:just wanna say hello to you guys.
790
:Um, also, if you guys did not know,
I'm doing a live version of the data
791
:analytics accelerator, um, starting
on Monday, and I want you guys to be
792
:part of that, um, awesome program.
793
:We're going to be, if you guys are
like, I want some more guidance, I
794
:want some more community, we're doing.
795
:Two hour live sessions every Monday.
796
:And then where I'm going to
be building the projects that
797
:Aaron talked about, we're gonna
build the SQL Hospital project.
798
:We're gonna build, uh, the
DoorDash marketing project.
799
:We're gonna build the education
Tableau project altogether
800
:on those Monday sessions.
801
:And then we're doing a live
office hour on Thursday.
802
:So if you're interested, you can go
to data career jumpstart.com/daa.
803
:Or you can just send me a DM on LinkedIn
and I'll get you the stuff you need.
804
:So I just wanna make sure y'all,
you guys know, 'cause that is an
805
:opportunity that, um, I haven't done
before where I'm actually building
806
:the projects and I'm going live for
three hours every week with you guys.
807
:So, uh, hopefully that's,
that's pretty exciting.
808
:That Great.
809
:Aaron, anything else?
810
:No, I don't think so.
811
:Thanks so much for having me and,
uh, good luck everybody listening.
812
:Yeah, sounds good.
813
:All right.
814
:Bye everyone.
815
:Let's see.