204: She Became a Data Analyst in 67 Days! (No Prior Experience)

Speaker: 00:00:00

You were working as a music therapist and

now you're able to work as a financial

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analyst for a Fortune 50 company.

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I am a financial analyst

at a healthcare company.

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But you were able to land this,

this financial analyst role

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pretty quickly signed up, clicked

submit on the accelerator package

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like right before Christmas.

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Started actually like doing the

program right after Christmas.

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I.

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Job was on March 1st, which

was a Wednesday, and then that

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Friday I accepted my offer.

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That's not even 60 days.

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So one of the projects I think that

really helped me was the SQL Project

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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.

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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.

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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.

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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.

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Medicare, um, and making sure that

we are kind of aligning with them so

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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

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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.

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Um, so yeah, that's kind of

the, the really paired down, uh,

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version of, of what I'm doing

in a kind of complicated space.

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But, um, yeah.

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Okay, sweet.

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That's awesome.

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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.

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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.

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So even less impressive, right?

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Well, I mean, that's perfect.

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So, so two different music degrees, a

music degree and a music therapy degree.

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Mm-hmm.

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You were working as a music therapist and

now you're able to work as a financial

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analyst for a Fortune 50 company.

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You know, solving problems when it comes

to healthcare billing, it sounds like.

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Mm-hmm.

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Yes.

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Correct.

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That's awesome.

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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

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got to where you're at today.

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Um, but also it does look like,

I mean, I'm no expert, you know,

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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

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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.

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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?

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Uh, it was not, no.

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I spent, um, every day, even through the

pandemic, um, every day at the hospital,

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spending most of my time in patient's

rooms, um, sitting with them and, and

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providing music and, um, you know,

going through that therapeutic process.

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Um, so a remote job was, uh.

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A very big change for me.

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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

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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.

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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.

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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.

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Mm-hmm.

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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.

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So I imagine that's gotten a lot easier

since you've been able to work remotely.

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Yes.

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Yeah, basil, my dog is, uh,

she is, her quality of life has

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increased even more than mine.

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So that's awesome.

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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.

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Exactly.

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Yep.

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Exactly.

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Okay.

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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

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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.

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Um, and so that's really, really helpful.

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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?

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Mm-hmm.

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Exactly.

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Yes.

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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.

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Very cool.

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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.

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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.

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Um, but most of my analysis

and most of the testing that

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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,

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but it's probably like you're doing things

you might not have necessarily expected.

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Um, and using things kind of in a new

way with his, with his new application.

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Mm-hmm.

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Yes.

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Yeah.

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There and there's a lot

of, um, kind of logical.

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Like analytical thinking.

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Um, and you know, that's part

of the learning curve of, of.

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Going into, you know, this specific

industry, um, like healthcare.

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I thought, you know, being in the

hospital every day, I thought I knew

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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.

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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.

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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.

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I wasn't familiar with

music therapy beforehand.

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So, um, maybe, if you don't mind,

will you just give like a, a quick

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introduction to what you were doing?

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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

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music to accomplish non-musical goals.

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So, um, in the hospital, what I was

doing most of the time was using music

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for decreasing pain, decreasing anxiety,

um, kind of providing that additional

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emotional support, um, that people often

don't get, um, especially when they're

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going through something that is, you know.

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Potentially like traumatic and scary

for them, like being in the hospital.

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Um, and you know, we worked

really closely with our like

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hospice and palliative care team.

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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.

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Yeah.

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And, and I think that's important to

realize because one of the tips that

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we, that we talk about throughout

the data analytics accelerator is,

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can we find you a stepping stone job?

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Right?

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Because you're new to this

world of, of data, right?

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You're, you're new to this world of data.

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You had no prior, you know, math

jobs or science jobs, right?

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It was, it was the music stuff, right?

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Um, but you were able to land this.

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This financial analyst

role pretty quickly, like

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within, within about 90 days.

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I was looking, I was trying to look, find

our exact, when you told me you had the

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interview and you had the offer, um, and

when you joined, you joined like right

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before Christmas, and then I think you

started working like mid-March, right?

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Mm-hmm.

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Yes.

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Yeah.

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Um, so I, I like, you know, signed up,

um, clicked submit or whatever on the.

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Accelerator package, like

right before Christmas.

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Um, started actually like doing the

program right after Christmas, like the

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week before Christmas and New Year's.

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Um, and I, I think my job.

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The interview was on March 1st, um,

which was a Wednesday or whatever

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the Wednesday was that week.

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And then that Friday I accepted my offer.

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Um, so yeah, I was,

uh, not expecting that.

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Um.

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That's not even, that's not even 60 days.

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'cause February is not even 30 days.

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Right.

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So that's basically Right.

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Yeah.

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So that's awesome.

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Um, and absolutely incredible.

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Congratulations.

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Thank you.

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I cut you off.

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Thank you.

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Keep, keep talk, talking us

through that, through that journey.

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Yeah.

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So, um, I should back up and say that part

of what I was doing, um, before kind of

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getting into the, into the accelerator

bootcamp, um, you know, when I.

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Was looking into data analytics as

a potential, you know, career move.

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Um, I did kind of what anybody does and

just Googled it, um, and landed on the

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Google, the Coursera, like Google mm-hmm.

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Data analytics program.

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Mm-hmm.

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Um, and I was doing that for a while.

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I think I started that

sometime in the summer.

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Um, last year.

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Felt, um, like I was understanding things.

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Um, I didn't.

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I didn't have any, you know,

foundational knowledge besides

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like, using Excel for budgeting.

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Um, and you know, I think it was a really

good introduction into like, what is data

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analytics and all of that sort of thing.

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But I didn't, um, I made it like

three quarters of the way through,

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but I didn't feel like I could like

actually apply my knowledge in a

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way that was, um, helpful for me.

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I was like understanding it as I was going

through, but there wasn't a lot of like.

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There weren't any steps after that.

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So, um, I was looking for something

that was just more hands-on

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and more like active for me.

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Um, that's how I tend to learn best.

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And so I was, you know, just kind of

looking to see what was out there.

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And, um, I think, I think you had

a sale going on, I saw on LinkedIn

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and I was like, that sounds good.

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Um, you know, most boot camps are

like five grand plus, and you know,

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that's not something that in my.

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Previous job that I could even consider

budgeting for, um, in any kind of,

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you know, uh, reasonable timeline

for wanting to make a career move.

323

: 00:14:51

So, um, I was like, sounds great.

324

: 00:14:55

This guy's cool.

325

: 00:14:56

I'm gonna just do this

and see where it goes.

326

: 00:15:00

And so from there, that's kind of

when I, uh, started like doing.

327

: 00:15:06

Doing the Analytics Accelerator

Bootcamp, um, and the curriculum,

328

: 00:15:10

and I think it, that is what really.

329

: 00:15:13

Made a big difference for me.

330

: 00:15:15

Yeah.

331

: 00:15:16

I, I think, I think your story

is, you know, very similar.

332

: 00:15:19

In fact, someone emailed me today and

said, you know, how is your program

333

: 00:15:23

different than the Google data cert?

334

: 00:15:24

Um, which is, which is a

common question, um mm-hmm.

335

: 00:15:27

And I think, I think you kind of

nailed it, like actually applying

336

: 00:15:30

what we're, what you've learned.

337

: 00:15:32

Right.

338

: 00:15:32

Um, and then really focusing on creating

the projects and the networking.

339

: 00:15:37

Right.

340

: 00:15:37

Because mm-hmm.

341

: 00:15:38

At the end of the day, if you don't

have the projects, you don't have the

342

: 00:15:39

network, it's a lot harder to land

that job and then also just doing it.

343

: 00:15:42

Mm-hmm.

344

: 00:15:43

With someone, like someone that's

able to, you know, talk to you.

345

: 00:15:46

I know you were pretty active on our

community, so having all the peers

346

: 00:15:49

around you, uh, I think, I think that's

pretty helpful for, for most people.

347

: 00:15:52

Um, and the other thing you

did really well is, and I mean,

348

: 00:15:57

I, I think this was helpful.

349

: 00:15:58

You can tell me if I, if I'm wrong, um,

but you were trying to land a data job.

350

: 00:16:04

You don't have necessarily the,

what people would consider the

351

: 00:16:07

traditional or the ideal background.

352

: 00:16:09

I don't think there is a traditional

or ideal background for data analytics,

353

: 00:16:12

but that's, that's besides the point.

354

: 00:16:14

Um, but you found this job inside of

healthcare and you have been working

355

: 00:16:19

in healthcare as this music therapist.

356

: 00:16:20

You've been visiting hospitals, like you

said, you know, hospitals speak a little

357

: 00:16:24

bit like the acronyms and stuff like that.

358

: 00:16:26

Did that play a role in

helping you land this job?

359

: 00:16:28

Like, was that helpful to

know the hospital stuff?

360

: 00:16:31

Yeah, I think so.

361

: 00:16:32

Um, you know, especially during

my interview process, that was

362

: 00:16:36

something that I spoke to a lot.

363

: 00:16:38

Um, you know, and having kind of that

background knowledge of just how the

364

: 00:16:43

industry works, um, and understanding

like, yeah, I might not know like the

365

: 00:16:48

backend of health insurance, but I

know like what these things mean and

366

: 00:16:52

I know, you know, kind of why things

are set up the way that they are.

367

: 00:16:57

Um, even if, I dunno the details of like.

368

: 00:17:00

How, how it works on the backend.

369

: 00:17:03

Um, and one of the projects I think that

really helped me kind of be able to speak

370

: 00:17:08

to that was the SQL project, um, and the

accelerator, the, um, healthcare analysis.

371

: 00:17:15

That was something that I talked about

in all of the interviews that I had.

372

: 00:17:18

Um, and they were really, really

interested to know, you know, not

373

: 00:17:21

only to see that I had some SQL

skills, but also just to see like.

374

: 00:17:26

I had used my prior knowledge and

like, um, how I had applied that

375

: 00:17:31

understanding of the industry

to the analysis, like with sql.

376

: 00:17:36

Um, so that I think was

really, really helpful for me.

377

: 00:17:40

Um.

378

: 00:17:41

Yeah, in that whole interview process,

gosh, I actually, I mean, I should have

379

: 00:17:45

realized that, but I didn't even, I

didn't even realize that, and that's so

380

: 00:17:49

cool because they were like, Hey, we're

hiring for a financial data analyst role.

381

: 00:17:53

The the hope is that someone

will understand data analytics,

382

: 00:17:56

they'll understand sql.

383

: 00:17:58

They'll, they'll understand

hospital, or I guess healthcare data.

384

: 00:18:01

And you were like, oh, well here's a

project I've done that you can read

385

: 00:18:04

where I analyzed, I can't remember

how much data is in that one, like 1.6

386

: 00:18:08

million rows of hospital data.

387

: 00:18:10

Mm-hmm.

388

: 00:18:10

And like looked at outcomes and

like looked at like what procedures

389

: 00:18:13

led to these different things

and how race played in role in

390

: 00:18:16

the hospital and stuff like that.

391

: 00:18:17

And you're like, just, here you go.

392

: 00:18:19

This is, this is my evidence.

393

: 00:18:20

Right.

394

: 00:18:20

Are you interested, Uhhuh?

395

: 00:18:22

That must have been really

powerful for the recruiter.

396

: 00:18:24

They're like, oh.

397

: 00:18:25

Wow.

398

: 00:18:26

Uh, SQL project with healthcare data.

399

: 00:18:28

I'm, I'm sure they didn't have

very many other projects like that.

400

: 00:18:32

If I were to guess, I don't know.

401

: 00:18:33

But if I were to guess, I don't

know who else applied, but

402

: 00:18:36

apparently I did something right.

403

: 00:18:37

So, yeah.

404

: 00:18:38

'cause, 'cause you interviewed and then

like three days later had an offer.

405

: 00:18:41

Mm-hmm.

406

: 00:18:43

Yeah.

407

: 00:18:44

That's amazing con that's so amazing.

408

: 00:18:46

Congrats.

409

: 00:18:47

Thank you.

410

: 00:18:48

Um, one, one of the things I just wanna,

I wanna highlight, um, that makes me

411

: 00:18:52

so happy to hear, because when I was

designing the, the analytics accelerator,

412

: 00:18:57

I was like, okay, we have to do projects.

413

: 00:18:59

And to be perfectly honest, uh,

when I first got into helping people

414

: 00:19:04

land data jobs, I, I had the same

philosophy that projects were the way.

415

: 00:19:08

But I had a little bit of a

different twist where I was

416

: 00:19:10

like, projects should be fun.

417

: 00:19:12

It's always fun.

418

: 00:19:14

To do your own personal data.

419

: 00:19:16

So when I originally launched my

bootcamp, all of the projects were

420

: 00:19:19

actually from your own life, like

your own screen time on your phone,

421

: 00:19:23

the data, the, the music you listen

to, you know, and stuff like that.

422

: 00:19:27

And that those projects were really fun

and I think they were very impressive

423

: 00:19:30

to recruiters and hiring managers.

424

: 00:19:32

They were a little bit harder because it's

just hard, keep getting your own data.

425

: 00:19:36

But now that we've transitioned to.

426

: 00:19:39

Using data from all the

different industries.

427

: 00:19:40

I'm so happy to hear that we, when

I was choosing the nine industries

428

: 00:19:44

for the nine projects, I was like,

man, there's so many industries.

429

: 00:19:47

Which ones did we choose?

430

: 00:19:48

And I'm so glad to hear that the

healthcare and the SQL combo was

431

: 00:19:51

at least useful for one person.

432

: 00:19:53

That's so good to hear.

433

: 00:19:53

Yes, yes, for sure.

434

: 00:19:56

Um, and actually I think just

having the projects in general

435

: 00:20:00

and having the specific, um.

436

: 00:20:05

Like specific tools for a

specific project, um, I think

437

: 00:20:09

was really, really helpful.

438

: 00:20:10

Um, and, you know, maybe

just also to highlight, uh,

439

: 00:20:15

another aspect of the bootcamp.

440

: 00:20:18

Um, I think the difference for me, I

was applying to things, um, kind of,

441

: 00:20:22

you know, throughout the whole, uh.

442

: 00:20:25

The time that I was, you

know, doing all the modules.

443

: 00:20:27

Um, and I wasn't really getting

a lot of bites and, you know,

444

: 00:20:31

kind of trying to network and,

and get referrals for, for jobs.

445

: 00:20:35

But, um, I think the thing that made

the difference was having, I went

446

: 00:20:40

to one of your, um, I don't remember

if it was a live session or just a

447

: 00:20:44

module, but, um, all about resumes

and like optimizing your resume.

448

: 00:20:49

Um, and so I added like.

449

: 00:20:52

Literally, as I was watching, I

was like, okay, I'm gonna add these

450

: 00:20:54

links to my portfolio projects.

451

: 00:20:57

I'm gonna add, you know, a blurb about

what I learned, what I analyzed, what

452

: 00:21:00

I, and why, um, and what I found.

453

: 00:21:02

Um, and I like sent off a round of,

of applications kind of with that new

454

: 00:21:09

resume, with my projects added like

an actual section, not just a link

455

: 00:21:13

to my, um, to my portfolio site and.

456

: 00:21:18

I like literally had three interviews

lined up for like that same week.

457

: 00:21:23

Wow.

458

: 00:21:24

From just that difference.

459

: 00:21:26

Um, and that was, you know, one of the,

one of those interviews that I had is

460

: 00:21:32

the role that I ended up accepting.

461

: 00:21:33

So, and yeah.

462

: 00:21:35

Did you, did you apply to that

job or did, did they find you?

463

: 00:21:38

So I applied for it.

464

: 00:21:40

Um, I have, uh, I know several people that

also work for Humana and I had someone

465

: 00:21:44

who was willing to let me be a, um.

466

: 00:21:47

Or be, you know, my referral.

467

: 00:21:50

Um, so definitely worked kind of with my

network and, and connecting with people,

468

: 00:21:55

um, to get my in, um, Humana as a company

that I have, you know, uh, considered

469

: 00:22:03

working for, for, for a long time.

470

: 00:22:05

Um, and you know, I know just

from having those personal, uh,

471

: 00:22:09

relationships with people here, um.

472

: 00:22:12

They're, they treat their

employees really well.

473

: 00:22:14

And so I was like, oh yeah, that's

like a company I really wanna work for.

474

: 00:22:17

So, um, that's kind of how I was

focusing my, my networking attention.

475

: 00:22:22

Um, but yeah, I had very, very quick

turnaround from submitting those

476

: 00:22:27

applications to hearing from recruiters

for the, the specific positions.

477

: 00:22:31

Okay.

478

: 00:22:32

There's a lot there I wanna unpack.

479

: 00:22:33

Um, number one, did you apply on like

LinkedIn jobs Indeed, or on their website?

480

: 00:22:39

On their website.

481

: 00:22:40

Um, so I found them on LinkedIn,

but I went to the website to apply.

482

: 00:22:45

Okay.

483

: 00:22:45

Um, yeah.

484

: 00:22:47

Okay.

485

: 00:22:47

Two.

486

: 00:22:48

Um, one of the things I wanna, I wanna

highlight here is, um, I don't know if

487

: 00:22:53

you remember this, but the job, the job

description, it probably said hybrid

488

: 00:22:58

on the job description, do you think?

489

: 00:23:00

Mm-hmm.

490

: 00:23:00

Or do you say in mm-hmm.

491

: 00:23:00

Okay.

492

: 00:23:00

And I wanna highlight that because I've,

no, this is like a super underrated play

493

: 00:23:05

that everyone is sleeping on right now.

494

: 00:23:07

And that's the idea of hybrid jobs.

495

: 00:23:09

Mm-hmm.

496

: 00:23:10

Everyone is like, oh, I

don't wanna be in person.

497

: 00:23:13

Right.

498

: 00:23:14

So they, they go and they go

to LinkedIn jobs, they use

499

: 00:23:16

the Boolean search for remote.

500

: 00:23:18

Mm-hmm.

501

: 00:23:18

And they're competing with literally

thousands of other people for these

502

: 00:23:21

remote jobs, because literally you

can be all over the US or the world.

503

: 00:23:27

Right.

504

: 00:23:27

And be an applicant for this job.

505

: 00:23:29

Mm-hmm.

506

: 00:23:29

But like your role, you're in the office.

507

: 00:23:32

Like what?

508

: 00:23:34

Eight hours a week on Wednesday.

509

: 00:23:35

Mm-hmm.

510

: 00:23:36

Like, if you want to like, you know, work

from home, from, you know, the rest of the

511

: 00:23:40

days, you can, if you wanna, I don't know

Humana's exact policy, but let's just say

512

: 00:23:45

you wanna go visit your, your parents,

or I don't know, your brother, right.

513

: 00:23:49

You could, you could go, mm-hmm.

514

: 00:23:50

You could leave Wednesday night and

come back home, you know, Tuesday night.

515

: 00:23:54

Like that's like a week that you could

be working somewhere else, like you're.

516

: 00:23:58

Not quite remote, but

you're 90% there, right?

517

: 00:24:01

I guess.

518

: 00:24:01

I guess literally 75%, right?

519

: 00:24:04

Or what, what, what?

520

: 00:24:04

80% there.

521

: 00:24:05

Um, yeah.

522

: 00:24:07

80.

523

: 00:24:07

Yes.

524

: 00:24:08

But, but it's, but it's

pretty good, right?

525

: 00:24:10

Mm-hmm.

526

: 00:24:11

Yeah.

527

: 00:24:11

And, and like I said, I am a really

extroverted person, so I really

528

: 00:24:15

like, you know, I, I think we get

less done on Wednesdays than we

529

: 00:24:19

do, like when we're all remote.

530

: 00:24:21

Um, you know, 'cause we're.

531

: 00:24:23

Catching up with each other and, uh,

you know, socializing a little bit.

532

: 00:24:27

Um, but yeah, we have, my team

has a lot of freedom outside of

533

: 00:24:32

those, those, uh, in-person days.

534

: 00:24:35

And, you know, if you do need to take

a, a remote day, that's also fine.

535

: 00:24:40

Um, you know, I had a coworker

yesterday who was like, yeah, I just.

536

: 00:24:45

I'm not feeling super well,

not well enough to not work,

537

: 00:24:48

but can I just stay home today?

538

: 00:24:49

And my team was like, yeah, of course.

539

: 00:24:52

Just call into the meeting

that we have and we'll be fine.

540

: 00:24:55

Um, so there's a lot of flexibility there.

541

: 00:24:58

That's, and that's awesome.

542

: 00:24:59

And I think people are like,

no, I only want a remote job.

543

: 00:25:02

But the hard thing is like when

you're doing a remote job, you're

544

: 00:25:05

competing with people you know,

not only in Louisville, right?

545

: 00:25:08

You're competing with people all over

the country, but if you're hybrid mm-hmm.

546

: 00:25:11

That job pool that they're selecting from

the candidate pool is so much smaller.

547

: 00:25:15

And so you can stand out so

much more as a candidate.

548

: 00:25:17

Um, the third thing I wanna mention is,

you know, you mentioned the referral.

549

: 00:25:21

Mm-hmm.

550

: 00:25:21

And people are gonna be like,

well, okay, I don't know anyone.

551

: 00:25:24

You know, I, no one's gonna refer me, but

the people that referred you, what, what

552

: 00:25:29

part of the company do they work for?

553

: 00:25:32

Uh, not mine.

554

: 00:25:34

Um, yeah, it's, uh, there are several

organizations kind of within Humana.

555

: 00:25:42

Um, and they are in one that

is parallel with mine, but

556

: 00:25:46

they are not in finance at all.

557

: 00:25:48

Um, and so, you know.

558

: 00:25:51

They, I even asked her, she, she like,

looked into some of the jobs when I was

559

: 00:25:55

talking with her and she was like, yeah,

I don't know these hiring managers.

560

: 00:25:58

Um, but I know this person who, um, you

know, worked with this other person and,

561

: 00:26:03

you know, she kind of connected some

dots, but she, I didn't know, she didn't

562

: 00:26:09

know anyone personally who was like, in

charge of hiring or, you know, the next

563

: 00:26:13

like three steps up, um, from my manager.

564

: 00:26:17

So, um.

565

: 00:26:19

Yeah, I think it's a powerful thing

to, even if you aren't, if you can get

566

: 00:26:23

a referral from someone, um, even if

they aren't directly involved with.

567

: 00:26:28

The position that you're applying

for, I think it's really, really

568

: 00:26:30

worth it to try to, you know, still

build those relationships and, um,

569

: 00:26:34

and see if they can help you out.

570

: 00:26:36

Yeah, a hundred percent.

571

: 00:26:37

Like when I'm working with a lot

of people, they're like, Avery, I

572

: 00:26:40

don't know anyone to get referrals.

573

: 00:26:42

And the answer to that is bull crap.

574

: 00:26:44

Unless you're like your brand new

to the country and you've never,

575

: 00:26:47

like, you don't speak English, or

like you haven't really met people.

576

: 00:26:50

Like, you at least know

someone who works somewhere.

577

: 00:26:53

Mm-hmm.

578

: 00:26:53

And sometimes, mm-hmm.

579

: 00:26:54

Sometimes, sometimes that person's

gonna work at like, as a grocer at

580

: 00:26:59

like, at like Smith's family grocer

and like, that's not gonna be useful.

581

: 00:27:03

But like you've probably have at least,

you know, 20 contacts in your phone.

582

: 00:27:08

Like open up your phone and go through

one by one and just be like, okay,

583

: 00:27:12

Paul Adams, where does he work?

584

: 00:27:14

Alejandra und, where does he work?

585

: 00:27:16

Paul Alstrom, where does he work?

586

: 00:27:17

You know, and think through.

587

: 00:27:19

Do these people work for a company that

have an opening for a data analyst?

588

: 00:27:24

Yes or no?

589

: 00:27:24

Mm-hmm.

590

: 00:27:25

And if they do, it doesn't matter if

they're in marketing or if they're

591

: 00:27:28

in sales, or if they're, you know,

really doesn't really matter because

592

: 00:27:32

the company just wants to kind of.

593

: 00:27:34

To hire good people.

594

: 00:27:36

And if that person's at that

company, that's probably because they

595

: 00:27:38

think that person's a good person.

596

: 00:27:39

Mm-hmm.

597

: 00:27:40

And so if that person has a friend,

that's probably also another good person.

598

: 00:27:43

And so just having any sort of

referral from any company employee,

599

: 00:27:46

I think is worth exploring.

600

: 00:27:49

And I think it gives you a

leg up in the application.

601

: 00:27:51

So I think a job well done from you,

because you went for the hybrid, you

602

: 00:27:55

went for the referral, and I mean,

that's what allows you to, you know,

603

: 00:27:59

do an interview and then bam, you

have an offer like two days later.

604

: 00:28:04

Yeah, it was, uh, it, it wasn't a

short process, you know, from, uh,

605

: 00:28:09

starting getting into data at all to,

um, you know, accepting a job offer.

606

: 00:28:15

But I think, um, the, the, the steps

that I took in the last, you know,

607

: 00:28:22

couple of months of that journey, um,

really, really made the difference.

608

: 00:28:25

And, um.

609

: 00:28:27

Yeah, a lot of it was kind of

prompted by the accelerator

610

: 00:28:30

program, so thank you for that.

611

: 00:28:33

Yeah, of course.

612

: 00:28:34

We're, I'm so glad it

it worked out for you.

613

: 00:28:36

Mm-hmm.

614

: 00:28:36

Um, okay.

615

: 00:28:37

Before we let you go, I gotta ask you a

few more questions about the interview.

616

: 00:28:40

Sure.

617

: 00:28:40

Was it, was it technical?

618

: 00:28:42

No.

619

: 00:28:43

Um.

620

: 00:28:44

Uh, and maybe part of it was because I

had projects to kind of show what I knew.

621

: 00:28:50

Um, but we didn't, there wasn't like an

assessment for me, um, for any of the

622

: 00:28:55

jobs that I interviewed for, you know,

kind of in that round of interviewing.

623

: 00:29:00

Um, I talked about my projects a lot.

624

: 00:29:03

They ask questions about the projects

themselves and kind of specifically what

625

: 00:29:07

learned like the projects you had done.

626

: 00:29:08

Learned.

627

: 00:29:09

Yes.

628

: 00:29:09

Yeah.

629

: 00:29:09

So, um, the, the healthcare

one, um, I talked about.

630

: 00:29:14

Um, oh, I forget which is which now.

631

: 00:29:16

But, um, I talked about the, I

think Massachusetts education one.

632

: 00:29:21

Yeah.

633

: 00:29:21

Uhhuh.

634

: 00:29:21

Um, I talked about that one.

635

: 00:29:24

I talked a little bit about

the data visualization one

636

: 00:29:26

that I had on my portfolio.

637

: 00:29:27

But, um, yeah, I like, they would ask me

specific questions about, you know, like.

638

: 00:29:34

What was your process with this?

639

: 00:29:35

What did you know?

640

: 00:29:36

How did you come to this conclusion

based on this data and, um, things

641

: 00:29:41

like that rather than like, you

know, here is a, a data set.

642

: 00:29:48

Can you query this?

643

: 00:29:49

Like, I didn't have to do any of that.

644

: 00:29:50

Like really, really technical stuff.

645

: 00:29:52

I think because they could see that I

knew, you know, how to at least do it.

646

: 00:29:57

Select from where statement, and then they

could ask me those deeper level questions.

647

: 00:30:01

Um, yeah.

648

: 00:30:02

Based on my portfolio, I think that's so

powerful because one of the things we talk

649

: 00:30:06

about in DAA is that a lot of times the

people interviewing you are busy people

650

: 00:30:13

and they don't wanna be interviewing you.

651

: 00:30:15

And so they're coming in with

questions five minutes before

652

: 00:30:18

they're actually doing the interview.

653

: 00:30:19

That's not true of everyone, but a lot

of the times I've, I've hired people

654

: 00:30:22

and I know that I've done that before.

655

: 00:30:23

Mm-hmm.

656

: 00:30:24

And so sometimes if

you give them projects.

657

: 00:30:27

All of a sudden you just gave them

material for them to ask you questions

658

: 00:30:30

about, and you kind of flipped the

interview where you're, you've almost made

659

: 00:30:33

the interview about stuff that you know

and stuff that you've done versus them

660

: 00:30:37

just like randomly asking you questions.

661

: 00:30:39

Um, which I think is really, it

makes it way less nerve wracking and

662

: 00:30:44

it makes you look more impressive.

663

: 00:30:45

So I think, I think that's mm-hmm.

664

: 00:30:46

A, a win-win.

665

: 00:30:47

So overall, you felt prepared and

it was just the, the one interview.

666

: 00:30:51

Uh, yes.

667

: 00:30:52

So for the role that I had, um, it, it

was in person, um, which was helpful

668

: 00:30:58

for me, um, because I, I tend to do

really well when I'm talking to people

669

: 00:31:02

and, um, feel less nervous than, you

know, if I'm, um, if it's like a phone

670

: 00:31:08

interview or something like that.

671

: 00:31:09

Um, but we did, it was one.

672

: 00:31:12

Day.

673

: 00:31:13

Um, but interviews with

several people on the team.

674

: 00:31:16

Um, but we had really similar

conversations kind of between that,

675

: 00:31:20

um, as pertains to kind of their

role and, and the difference between

676

: 00:31:23

the role that they're hiring for.

677

: 00:31:25

Um, but yeah, I felt really prepared.

678

: 00:31:28

I felt, um, like I knew what I was

talking about, kind of going in.

679

: 00:31:33

I obviously had done these whole

projects and could speak on them.

680

: 00:31:37

Um, and so that made me

feel really confident in.

681

: 00:31:41

My skills and also in my like,

you know, presence and, and being

682

: 00:31:46

able to really engage with them.

683

: 00:31:49

Um, instead of being worried about,

you know, am I gonna remember how

684

: 00:31:51

to, like what the syntax is for

this, you know, specific thing

685

: 00:31:55

that they're gonna ask me about.

686

: 00:31:57

Yeah.

687

: 00:31:58

That's, that's awesome.

688

: 00:31:59

Um, I love that the

projects brings confidence.

689

: 00:32:02

That's an important takeaway.

690

: 00:32:03

Mm-hmm.

691

: 00:32:04

Um, yeah.

692

: 00:32:04

Okay.

693

: 00:32:04

And then, uh, we did have a question here.

694

: 00:32:07

Um, you can answer this to your heart's

content, um, as much as, as you do or not.

695

: 00:32:12

Um, but the question is, did you feel

the need to negotiate or were you

696

: 00:32:15

pretty happy, uh, with your offer?

697

: 00:32:18

So, um.

698

: 00:32:21

As I mentioned, I had interviews

for three different roles, um, kind

699

: 00:32:24

of, you know, all at the same time.

700

: 00:32:27

Um, it was that like last round

of applications that I sent

701

: 00:32:30

in after changing my resume.

702

: 00:32:32

Um, had all those interviews within, you

know, that same week, the, um, the ones

703

: 00:32:38

on that Wednesday where the last ones.

704

: 00:32:40

Um, and a, the recruiter contacted

me, um, and actually said that I had.

705

: 00:32:48

Um, gotten offers from all three and

that they wanted to, that they wanted

706

: 00:32:53

to, um, you know, see what was my

preference and that sort of thing.

707

: 00:32:57

And I didn't negotiate with numbers

necessarily, but I said that a, um,

708

: 00:33:04

salary would put play a, a part in

my decision of which role to take.

709

: 00:33:09

Um, and so I asked if they could give

me, you know, a range for each one.

710

: 00:33:14

Um, so they came back with that and, um.

711

: 00:33:17

You know, told me the ranges of what,

what they could offer for each role.

712

: 00:33:22

Um, and then I was really happy that

the, the one that I had wanted the

713

: 00:33:28

most did actually have, you know, the

highest offer as well, the highest range.

714

: 00:33:32

Um, and so I, you know,

happily took that one.

715

: 00:33:35

Um, so I didn't have to

necessarily negotiate.

716

: 00:33:39

Um, and then when I like

accepted that offer, they.

717

: 00:33:42

Um, said it was gonna be the, the highest

end of the, of the range they'd given me.

718

: 00:33:47

They just gave me that top number.

719

: 00:33:48

Um, so you got what?

720

: 00:33:50

You got what you wanted?

721

: 00:33:51

Exactly.

722

: 00:33:52

Yeah.

723

: 00:33:52

I didn't have to like,

you know, negotiate like.

724

: 00:33:55

Face-to-face with somebody, but, um,

you know, letting them know that that

725

: 00:33:59

was an important part of my decision.

726

: 00:34:01

I, I think that's good.

727

: 00:34:02

Um, we, you know, a lot of people will

talk about negotiating, um, and I think

728

: 00:34:07

I'm probably not the, the best teacher

of negotiation, if I'm being honest.

729

: 00:34:11

I've never really negotiated that

much, but so many students in

730

: 00:34:14

our program have just been so.

731

: 00:34:16

Happy with the offer that they get,

that, that, I mean, negotiating

732

: 00:34:19

is always probably a good idea.

733

: 00:34:21

Uh, but anyways, a lot of people

have just been super happy that

734

: 00:34:23

they're like, I'll take it.

735

: 00:34:24

I'm so, so stoked with this.

736

: 00:34:26

Right?

737

: 00:34:26

If someone offered me $10

million right now to go work

738

: 00:34:29

for them, I'm not negotiating.

739

: 00:34:30

I'm taking the 10 million

million dollars right.

740

: 00:34:32

And, and I mean, uh, kind

of the same idea there.

741

: 00:34:35

Um, mm-hmm.

742

: 00:34:36

Okay.

743

: 00:34:37

So one with this, uh, any advice that

you'd like to give to people with

744

: 00:34:41

non-traditional backgrounds, people

with, um, maybe music backgrounds?

745

: 00:34:45

What, what would you say and, and

that helped you in your journey?

746

: 00:34:48

Or what, what advice would you give them?

747

: 00:34:50

Yeah.

748

: 00:34:51

Um, so number one piece of like

actionable advice is to do projects.

749

: 00:34:56

Um, do projects that are based on

skills that you have or, you know,

750

: 00:35:01

the industry that you have, and then

also ones that, um, show that you

751

: 00:35:05

have knowledge for where you wanna go.

752

: 00:35:08

Um, so if it's healthcare, if

it's, um, you know, marketing, like

753

: 00:35:12

whatever you're trying to kind of.

754

: 00:35:15

Break into, do projects with that

show that you know how to use the

755

: 00:35:19

technical skills, um, in that industry.

756

: 00:35:24

Um, and then just in general, I think,

um, something that I realized through

757

: 00:35:30

my journey was that even if you are

like just starting and you don't really

758

: 00:35:35

have a whole lot of like foundational

knowledge, um, to go off of, you are.

759

: 00:35:42

Um, more capable and you know, a

lot more than you think that you do.

760

: 00:35:47

Um, you know, everything

transfers to everything else.

761

: 00:35:50

Um, I guarantee that there's

something that you, like do in your

762

: 00:35:53

daily job that relates to, you know,

your, your data analytics learning.

763

: 00:35:58

Um, and I think that if you have started

on this journey and you know, are, um.

764

: 00:36:05

Even if you are at the beginning,

you've done the hard part of like

765

: 00:36:10

making the decision and starting.

766

: 00:36:12

Um, and so now it's just about consistency

and you know, keeping that going.

767

: 00:36:18

I, I love that.

768

: 00:36:19

I hope you guys listening

take that to heart.

769

: 00:36:21

Keep in mind that was a music

therapist telling you that you have

770

: 00:36:24

something in your current job that

is relatable to data analytics.

771

: 00:36:28

If you asked me like the most opposite

of a data analytics job ever, I might

772

: 00:36:31

say a music therapist, but you're

absolutely right Aaron, that no matter

773

: 00:36:35

what you're doing, you can relate

something to what you're currently doing.

774

: 00:36:38

It is experience for a data analyst job.

775

: 00:36:41

So, you know, don't be discouraged

when you see, you know, one

776

: 00:36:44

to two years of experience.

777

: 00:36:45

Two to five years of experience.

778

: 00:36:46

You have some sort of experience

that you can draw and I loved the

779

: 00:36:49

advice, uh, on doing projects.

780

: 00:36:51

So, uh, Aaron, thanks so

much for being on the show.

781

: 00:36:54

Uh, we'll have your LinkedIn down

below in the show notes that people

782

: 00:36:58

can connect with you and, uh, just

so excited for you and your journey.

783

: 00:37:02

Aaron, thanks for sharing

it with all of us here.

784

: 00:37:04

Thanks so much for having me.

785

: 00:37:06

Yeah, no problem.

786

: 00:37:08

Um, okay, great.

787

: 00:37:09

Thanks everyone for listening.

788

: 00:37:10

If you guys are listening live

on YouTube or LinkedIn, uh, we

789

: 00:37:14

just wanna say hello to you guys.

790

: 00:37:16

Um, also, if you guys did not know,

I'm doing a live version of the data

791

: 00:37:22

analytics accelerator, um, starting

on Monday, and I want you guys to be

792

: 00:37:27

part of that, um, awesome program.

793

: 00:37:29

We're going to be, if you guys are

like, I want some more guidance, I

794

: 00:37:32

want some more community, we're doing.

795

: 00:37:34

Two hour live sessions every Monday.

796

: 00:37:37

And then where I'm going to

be building the projects that

797

: 00:37:39

Aaron talked about, we're gonna

build the SQL Hospital project.

798

: 00:37:42

We're gonna build, uh, the

DoorDash marketing project.

799

: 00:37:45

We're gonna build the education

Tableau project altogether

800

: 00:37:48

on those Monday sessions.

801

: 00:37:49

And then we're doing a live

office hour on Thursday.

802

: 00:37:53

So if you're interested, you can go

to data career jumpstart.com/daa.

803

: 00:37:59

Or you can just send me a DM on LinkedIn

and I'll get you the stuff you need.

804

: 00:38:03

So I just wanna make sure y'all,

you guys know, 'cause that is an

805

: 00:38:05

opportunity that, um, I haven't done

before where I'm actually building

806

: 00:38:09

the projects and I'm going live for

three hours every week with you guys.

807

: 00:38:12

So, uh, hopefully that's,

that's pretty exciting.

808

: 00:38:15

That Great.

809

: 00:38:17

Aaron, anything else?

810

: 00:38:19

No, I don't think so.

811

: 00:38:20

Thanks so much for having me and,

uh, good luck everybody listening.

812

: 00:38:24

Yeah, sounds good.

813

: 00:38:25

All right.

814

: 00:38:26

Bye everyone.

815

: 00:38:27

Let's see.