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227: This Music Teacher Became a Data Analyst in 6 Weeks
Episode 2278th September 2026 • Data Career Podcast: Helping You Land a Data Analyst Job FAST • Avery Smith - Data Career Coach
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Mason went from teaching middle school choir to a financial analyst job at Humana in 40 days. I asked him how.

💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://datacareerjumpstart.com/newsletter

🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://datacareerjumpstart.com/training

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👔 Ace The Interview with Confidence 👉 https://datacareerjumpstart.com/interviewsimulator

⌚ TIMESTAMPS

00:00 – Choir teacher to Humana

09:03 – Teaching stopped working

12:33 – Go meet people

16:12 – Apply before you feel ready

20:06 – Fake it a little

24:30 – Get a referral

🔗 CONNECT WITH MASON

🤝 LinkedIn: https://www.linkedin.com/in/mason-rice-a98559330/

🎵 Follow his new choir, Voices of Kentuckiana 👉 https://www.instagram.com/voicesky/

🔗 CONNECT WITH AVERY

🎥 YouTube Channel

🤝 LinkedIn

📸 Instagram

🎵 TikTok

💻 Website

Mentioned in this episode:

🚀 September Cohort of The Accelerator Kicks Off Soon

The September Cohort of the Accelerator starts on September 14th. Join the data bootcamp that has helped 100's land their first data job using The SPN Method. Learn the skills (Excel, Tableau, SQL, Python, Power BI, and R). Build 8+ projects and put them on your portfolio. And grow your network 10x bigger than it is now. Plus, for this cohort only, you'll get lifetime access to 4 softwares to help you land your data job: PremiumDataJobs.com, InterviewSimulator.io, MyDataFolio.com and DataFairy.io. Let's get your data career started!

https://datacareerjumpstart.com/daa

Transcripts

Speaker:

I was a middle school choir

teacher, and now I'm working at

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:

Humana as a financial analyst.

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:

I knew I was done teaching when I

prevented a murder in my classroom

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:

Because I wasn't considering it at all.

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:

I didn't even know it existed.

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And so I found this journal entry

that I wrote after I got my job, okay?

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And it says, "On October 25th," this

is:

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the Data Analytics Accelerator.

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I learned Excel, Tableau, and SQL.

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On December 4th, I accepted a job

as a financial analyst at Humana."

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So it really was, like, 35, 40 days.

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The job offer was $75,000, work

from home four days a week.

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There were probably 300

applicants on the first day.

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But I think important point was

the job that I ended up landing was

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the 24th job that I applied for.

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It's not all about the techniques.

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Sometimes it's about who you know.

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I have a healthy amount of delusion.

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This is Mason Rice.

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He's a choir director and conductor that

pivoted out of the classroom and into

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data analytics in less than six weeks.

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He didn't have a fancy tech degree.

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He didn't have a data background, and six

weeks before he got hired at a Fortune 50

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company as a financial analyst, he didn't

even really know what a data analyst was.

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So here's exactly how Mason did

it through the full story Mason,

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welcome to the Data Career Podcast.

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So I'm excited to hear about your

journey from going from a choir

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teacher to financial analytics.

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So tell us where you work right now

and, uh, how long you've been there.

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Sure.

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Uh, I'm so excited to be here.

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Um, you know, when I was going through,

like, the Data Analytics Accelerator,

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I listened to probably every o-

episode of this podcast that you had.

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So this is really so full circle for me.

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Uh, I'm really excited to be here.

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Um, so what I did before, uh, I worked

at Humana, um, I was teaching choir.

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I taught high school

choir for several years.

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I taught middle school choir for a

short time here in Louisville, Kentucky.

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Um, but today I am working at Humana.

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Um, I'm a financial analyst in

the risk adjustment department, so

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you can catch me reporting on, uh,

Medicare star ratings and how they

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impact our company financially.

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Okay, that's crazy.

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So you were, like, teaching, like,

eighth graders, like, how to sing

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and doing, like, performances and

being, like, the, like, the conductor,

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and then suddenly, like- Yeah,

allegedly Okay, that's awesome.

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And then suddenly you're, like, on

spreadsheets and, like, crunching numbers.

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That doesn't seem like a very

natural, uh, career transition.

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So, uh, like- No, it wasn't, and it didn't

really feel like it sometimes either.

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Yeah, I- It wasn't,

yeah … I can imagine.

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That's, that's such a, a,

a crazy, a crazy story.

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Um, so, like, do you use

Excel at your job right now?

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What type of tools do you use at your job?

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Oh, yeah.

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Um, I would say Excel is probably

the majority of what I use.

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Um, SQL is really high

up on that list, too.

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Um, I am also using Power

BI, um, to a degree.

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I had to learn SAS on the

job, um, so I didn't have that

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skill before I took the job.

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Um, but I've had to learn

how to write some SAS code.

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And then, um, a- now we are moving

into Databricks, so learning

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Databricks and a little bit of Python

has also been, um, on my plate.

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Wow.

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So you've learned quite a bit

since you've been there and you,

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you know, you learned some of this

stuff before you landed the job.

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I love that you're learning on the job.

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I think that's important

that people recognize that.

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Um, but, but if- Mm-hmm … I guess

you had to choose the top three in

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order, it'd be Excel, SQL, Power BI?

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You got it.

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Okay, got it.

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Um, and what type of data

are, are you looking at?

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You're looking at, like, Medicare data?

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Is that what you kinda said?

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Yeah, for sure.

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So, um, generally looking

at member-level data.

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Um, just trying to figure out, like,

I'm looking at county rates, I'm looking

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at star ratings, I'm looking at, um,

how many, how much money we're getting

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per member per month, per person.

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I'm also, like, looking at the

enterprise as a whole, comparing

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data from competitors to see kinda

where we stack up, um, in terms

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of performance on s- star ratings.

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And there's a really complex system of

how the government pays out for Medicare,

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uh, which is constantly changing and

evolving, and they want to pay us

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less and less money as time goes on.

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And so it's kind of a, uh, uh, a

challenge to keep up with the changes,

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but also to stay ahead of competitors

in a way, in a field where, like, margin

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percents can be really, really low.

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So every, every penny really matters.

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Um, and so we're kinda just

looking at that data and trying

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to stay ahead of the game.

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That is kinda crazy to hear, um,

that, like, margin's small in, in

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healthcare 'cause you often think that

healthcare is kind of ripping you off.

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It feels so expensive in America.

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And we should, and we should

mention that Humana is, uh, like a

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healthcare, uh, company in the US.

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It is, like, one of the biggest ones.

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Mm-hmm.

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I think you guys are, like, you're

at least a Fortune 50 company.

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You guys might even be bigger than that.

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Right.

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Um, so this is, like, a huge

healthcare company, um, in the US.

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We should mention that you are,

uh, located in Kentucky, which,

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which is kind of, like, kind of

close to the middle of America.

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A little bit, a little bit

to the east of the middle.

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Mm-hmm.

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Um, okay, very cool.

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And, like, tell us a little bit about

what your work situation i- is like.

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Are you in the office full time?

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Are you remote?

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How does that work?

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Sure.

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Yeah.

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So I'm in Louisville, Kentucky.

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I've been living here for two years,

and, um, Humana's headquarters

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is in Louisville, so they have

remote workers all over the place.

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But my specific team is a hybrid team.

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So I go into the office

on Wednesdays only.

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Um, so Monday, Tuesday, Thursday,

Friday, I am working at home.

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Um, and so that has been super nice

balance for me 'cause I love having

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some face time with people, um, and

getting to get out of the house.

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But, um, the working from home

is also really, really nice.

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Though there are people even on

my team who are fully remote.

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But generally, like, for Humana, if

you live within, you know, a 30-minute,

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45-minute drive, you're probably coming

in one day a week, if not a f- a few more.

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That's something that I

think is so interesting.

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Everyone wants a remote job, and, uh,

I've started to see some, I don't want

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to call it backlash, but some pushback

to remote jobs where it's like, I

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don't know how healthy, uh, completely

remote jobs are just because I think

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you, I think you get better training

when you go into the office 'cause it's

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just, it's hard to train people online.

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It's, it's hard to,

like, schedule meetings.

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Um, I think you get better opportunities,

uh, like, to get raises and promotions

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just 'cause, like, you actually are

forming a relationship with an actual

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human being, like, with your boss, versus

just, like, talking to them online.

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And I just think, like, mentally

and emotionally, we were meant as

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humans to interact with people,

like, actually interacting with them.

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I think, I think there's so much to be

said about a hybrid job like what you're

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talking about, where it's actually

worlds better than a remote job.

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'Cause, like, really, it's hybrid, but

you're, you could just call it 80% remote.

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I mean, that's what, that's

what it is for you, right?

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Mm-hmm.

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But that 20% feels so important.

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You've enjoyed the 20% in office?

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Oh, yeah.

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And I completely agree with you.

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I mean, in fact, like, I was … I

mean, I was working in a school, right?

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I mean, it doesn't get any

more in person than that.

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No.

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Right?

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You're hands-on dealing

with people all the time.

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And so I was so ready for the

pendulum to swing the other way.

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I was like, "Oh, no,

let's be totally remote.

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Let me, let me get, you know … " It

seems so nice to be so convenient.

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And as time has gone on, I kinda

wish I had two or three days in the

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office to go in and work, just because

I feel like that energy exchange

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between people is so important.

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And what you said is exactly true.

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Like- The way you connect with

somebody in person is so different

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than the way you connect with

them online and, and I find online

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connections are difficult sometimes.

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They can be really awkward.

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You know?

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You can't…

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It's harder to have a give and

take on a, on a Zoom call, right?

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Because you, you can't listen

and speak at the same time in the

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same way that you can in person.

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Yeah, it's like when you're really

making eye contact with somebody, and

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you can notice their breathing and

their body language, and you can read

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the room when everybody else is…

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When there are other people involved too.

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I think it's so valuable, um,

something that I've really missed.

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Um, and I would also say, like,

working, working remotely can be lonely.

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It can be, it can be depressing.

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Um, it can be really repetitive.

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It can be very comfortable,

but it, it's also…

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You know, it's, it comes

with its cons as well.

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I hope, I hope everyone just

listening kind of internalizes that

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and maybe instead of applying to

remote-only jobs, try some hybrid jobs.

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'Cause the other thing

about hybrid jobs…

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I, I'm gonna call them 80% remote

jobs, 'cause that's what, that's what

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yours, that's what yours is right now.

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Those 80% remote jobs, like, they're

just way less competitive because I

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can only, you know, like, I can only…

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Okay, almost.

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You did say there were some people

that are fully remote on your team.

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But the majority of the people

on your team, you know, have

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to live in the Louisville area.

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And so when a job opens up, uh,

for your team, it's like the whole

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entire country, the whole entire

world can't apply for those jobs.

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You know, only people

in Louisville, Kentucky.

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So your application pool

is just so much smaller.

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So I…

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Anyways, everyone listening,

start to apply to hybrid roles.

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Um, okay, I wanna talk about- Oh, yeah

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that in-person job you

had, the choir teacher.

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You're, you're right that, like, other

than, like, being a doctor or a nurse,

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like, teaching is, like, one of those

jobs that is, like, in person, hands-on.

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Um, so you're teaching, you

know, all these students music.

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You're, you're, you're,

uh, a choir teacher.

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Um, like, at what point were you

like, "Uh, I don't know if I wanna

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do this the rest of my life"?

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Like, what was, what was

so hard about that job?

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Sure.

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I mean, in my first job, I was

fresh out of college, and I mean,

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and any first-year teacher can, can

commiserate with the energy and the,

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the crazy, uh, amount of effort it

takes to just get started as a teacher.

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It's really just kind

of unbearable at times.

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It's really emotional.

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It was, it was emotional for me.

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I'm an emotional guy.

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I teach music.

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What can I say?

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But it really, it just requires so much

effort and so much investment, and there's

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so many factors that are unpredictable.

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These kids, they bring in their

own baggage and problems to the

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door, and it's so often you have to

check yours and just be a caregiver

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Uh, much more than a teacher.

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And I taught through the pandemic.

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I, uh, I only got, like, a year and a half

of, you know, in-person instruction before

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I was teaching with a mask for two years.

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Um, and for me, it's always

been about mentorship and

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connection, uh, with, with people.

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And so, uh, the mask kinda

took that away for me for that

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kind of level of connection.

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So, uh, that's when I left

to go get my master's.

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But, um, when I went to go teach--

When I go- went back to go teach

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middle school, I just found that it

was a totally different landscape.

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I found that I wasn't really able to

teach the way that I wanted to teach

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or teach, um, primarily, um, because

in that role, I definitely was m-

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m- majorly a caregiver and a, and a

therapist and a babysitter and a, uh…

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Yeah.

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Th- thi- But I wanted to teach choir,

and so I kinda felt like in a way that

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was not available to me, um, anymore,

or at least where I was and Yeah, I, I

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was getting, I started having nightmares

about this, going into work and waking

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up as late as possible and going home and

not saying a single word, and was just

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really struggling at the time that I was

looking to pivot ca- uh, pivot careers.

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I had just gotten to a really low point.

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I mean, probably some- one of the lowest

points I'd been in, uh, was just be-

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this because of teaching and just because

of all the, all of the things going on.

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I mean, I was dealing with lots

of violence in my classroom.

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I was dealing with lots of,

uh, some really troubling home

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lives with students, and that…

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What it, it is a beautifully compassionate

job, um, but it is incredibly taxing.

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And so I think I had reached, I, I had

reached my limit with what I could handle.

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Do not blame you one bit, and I think

everyone who's listening, one, loves

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teachers, and we're thankful for you

teachers, but also recognizes how sucky

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of a job it is and how hard it is.

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My mom's a teacher and, uh, you know,

we're, we're recording this kind of,

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uh, during the, during the summertime,

and my mo- I was like, "Mom, when

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do you have to go back to school?"

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Well, she's like…

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And she's like, "The official

day is this, but I'm gonna go

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back a week early to prepare."

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I'm like, "Mom, you're just

working a week for free for, to,

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like, you don't get paid for that.

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You're just doing it out of

the goodness of your heart.

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Mom, I love you.

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You're a good person, but no one should

have to work a week for free, especially,

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you know, teachers in America."

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But alas, that's the, the system we're in.

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Okay, so you're like, "I, I

gotta get out of teaching.

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This is, this is too much, you

know, taxing on, on my wellbeing.

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This is, this is very difficult.

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I wanna try something new."

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How did you decide on data?

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Like at what point were you like,

"Oh, I wanna become a data analyst"?

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Okay, it's actually wild because

I wasn't considering it at all.

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I didn't even know it existed.

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Um, but what I was doing was going

out and trying to find community.

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Um, I was just out and

I joined some choirs.

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I was singing in this group called

the Louisville Chamber Choir, and

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I had made some friends, and had

started like speaking into the ether

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that I was like ready to change,

ready to s- do something different.

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And, um, a woman by the name of

Erin Sheena comes to me from across

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the room and is like, "Hello.

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I know we have like friends in

common and we've been singing

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together in this group."

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And she…

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I kind of asked her what she did and I was

like, "That sounds like what I wanna do.

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Can we get like coffee and talk

about what you do for work?"

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And so Erin and I, we got, we had

like a, we had a get together.

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We kiki'd and we talked about…

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'Cause she had changed from

music therapy to this job and I

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was like, "How did you do that?

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Uh, point me in the right direction

'cause I need a change," and I knew I

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wanted to work in something with money.

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I knew that I enjoyed, um,

like working in Excel, and I

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thought coding was interesting.

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As, as she was explaining it to

me, it sounded really intriguing.

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So yeah, she pointed me in the

direction of the DAA and I, uh-

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Yeah, I, I really, I put my all

into it and really didn't look back.

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Um, so I watched the YouTube videos

and listened to the podcast and, um,

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knew that I would give, give it a shot.

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Okay, this…

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There's so many cool things here that

I, I need everyone in the audience to,

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to pay attention to and r- and remember.

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So if you've been a listener to the

podcast for a while, you'll know

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that Erin Sheena, we've interviewed

Erin on the podcast before.

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Uh, it was a few years ago,

though, so some of you guys

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who are OGs might remember.

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Mm-hmm.

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I did a, a, a rerun of her episode

maybe about a year ago, so some of

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you guys have probably heard it.

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But yeah, she was a music therapist,

uh, like Mason said, and she joined my

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accelerator program, was able to pivot,

uh, to a, a pretty similar role, uh,

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to Mason's role, we'll get to that in

a bit, um, and become a data analyst.

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Okay, so you, so you met Erin, and

she was like, "I'm a data analyst.

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I used to be a music therapist.

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Music therapist was really, you know,

taxing and a very difficult job,

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and I was able to pivot into data."

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And you're like, "That sounds fun.

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I like Excel.

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I'm interested in coding."

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Did you like puzzles, like, growing up?

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Like, did you always like numbers, or was,

like, math something you didn't enjoy?

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Oh, yeah.

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I mean, full disclosure, I did

get my minor in math- Ah, okay.

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That's good to know … in my undergrad.

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My mother was a math teacher.

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And, um, I mean, really, music and math do

have lots of overlap, um, intellectually.

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So I, uh, I've alwa- yeah, I love puzzles.

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I love games.

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I'm a big board gamer.

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I'm a big video game nerd anyway, and so I

find things like that really interesting.

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But yeah, I, uh, independently

was applying for jobs and, and

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Erin ended up being my reference.

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You know, our desks, by the way,

are, like, right next to one another.

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I saw her yesterday.

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We see each other all the time, but

she was really my, my in at Humana,

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and is one of my dearest friends

and, um, I kind of followed her

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path in, step by step, to be honest.

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Like, I listened to that

podcast episode with her and was

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like, "Yeah, I wanna do that."

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And so I probably listened to it, like,

four times until I made it happen, so.

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And that's, that's my, my next

question exactly, is, like,

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how did you make this happen?

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So you're, you're at this, like, uh,

singing event, and you meet Erin, and

339

:

she explains, "Yeah, I was piv- able

to pivot from music to, to data."

340

:

You go get a coffee chat, you know,

you explain what you wanna do, and

341

:

she's like, "This is how I did it.

342

:

You know, I joined Avery Smith's

Data Analytics Accelerator,

343

:

was able to pivot out."

344

:

And you're like, "Okay, I'm

just gonna follow that."

345

:

So you, you end up joining the

accelerator, and, uh, how long-

346

:

Mm-hmm … did the whole process take

from, like, deciding you want to become

347

:

a data analyst to your first job offer?

348

:

Okay.

349

:

So before this interview, I went

and I g- I grabbed my diary.

350

:

And so I found this journal entry

that I wrote after I got my job, okay?

351

:

And it says, "On October 25th," this

is:

352

:

the Data Analytics Accelerator.

353

:

I learned Excel, Tableau, and SQL.

354

:

On December 4th, I accepted a job

as a financial analyst at Humana."

355

:

So it really was like- 35, 40 days.

356

:

It was a whirlwind of a time, um,

but it happened really, really fast.

357

:

And, uh, the job offer was $75,000,

work from home four days a week,

358

:

which was, like, already more than I

was making as a teacher, by the way.

359

:

Um, and a lot-- and better benefits, so.

360

:

You were in.

361

:

Yeah.

362

:

That's it.

363

:

Um, so I- when I started the program,

I, uh, I'm an all-in kind of person, and

364

:

so I was like, "Okay, I'm doing this."

365

:

I made-- I, I think I finished

the first module in a day.

366

:

You know, I woke up at 8:00 a.m.,

367

:

and I was like, "I'm doing this."

368

:

And every little strong arm

emoji, I was like, "I'm doing it.

369

:

I'm doing it."

370

:

I made my LinkedIn.

371

:

I had all my photos fig- figured out, and

then, um, I was just like 100% gung-ho.

372

:

I was listening to the

podcast on my way to school.

373

:

I was listening to it on

the way out of school.

374

:

I was listening to it in my,

uh, in my, what is it called?

375

:

Planning period.

376

:

Wow, sad that I've already

forgotten what that was.

377

:

Um, and I even-- I also had, like,

27 Sick days that had just been

378

:

accrued, I was cashing those in.

379

:

I was like, you know, I- if I'm

gonna leave this job, which I

380

:

did, I'm gonna forfeit all of

those sick days, which I did.

381

:

I ended up forfeiting the rest of

them 'cause I left my, left my job.

382

:

So I was using all the sick

days as, like, project time.

383

:

So I had my portfolio

with, like, in Excel.

384

:

I probably did the first five or

six modules in two weeks, in a

385

:

week or two weeks, and I applied…

386

:

See, I also pulled up my job

tracker, 'cause I u- I used that

387

:

job tracker that you posted.

388

:

I applied for my first job October 31st.

389

:

So within a week I was applying for jobs.

390

:

Okay.

391

:

That's crazy.

392

:

How many jobs did you apply for total?

393

:

Okay.

394

:

So the…

395

:

Of, of the ones that I put on the

tracker, which probably wasn't all, 80.

396

:

I applied for 80.

397

:

Yeah, that's a good number.

398

:

Um, yeah.

399

:

I, I, I think I was probably pushing

100, 'cause I did have a low point

400

:

where I was going through all of

the, like, LinkedIn quick applies.

401

:

I mean, obviously I didn't

get any of those jobs.

402

:

Um, but I think an important part,

or important point was the job that

403

:

I ended up landing was the 24th job

that I applied for, and I didn't hear

404

:

anything about that for several weeks.

405

:

Um, I had already applied for many,

many other jobs by the time they

406

:

finally got back around to me, and then

I fi- I accepted it on December 4th.

407

:

So it was about a month of interviews-

Wow … and stuff before the job.

408

:

So many cool things there.

409

:

So, like, in six weeks you were

able to be like, "I wanna be a data

410

:

analyst," to having an o- a job offer.

411

:

Uh, that's amazing.

412

:

Congratulations.

413

:

That is so cool.

414

:

Thanks.

415

:

Um, and, and that 24th, so it

was the 24th job you applied.

416

:

For first, so first off, I wanna say,

like, you, if your first job that you

417

:

applied for was, like, almost on Halloween

it sounded like, that means it was, like,

418

:

a week into the- Mm-hmm … accelerator.

419

:

And I think that's such a good

point, that so many people…

420

:

Like, you had only heard about data

analytics for, like, maybe a m- maybe,

421

:

like, three weeks, a month before

applying to your first data analyst job.

422

:

And I can't even tell you- Mm-hmm … um,

how many people wait years before

423

:

applying to the job, 'cause they never

feel like they're gonna be ready.

424

:

So, like, what was your thought

process of, like, "You know what?

425

:

Screw it, I'm just gonna apply to jobs."

426

:

Like, h- how did you feel ready?

427

:

Oh, I have a healthy amount of delusion.

428

:

I- and I think that is a very important

thing to bring into your life.

429

:

Just a little bit of I

can do anything energy.

430

:

Um, and, and actually I would have

like, I would have a little…

431

:

Before I have, would have an interview

to like talk about this thing that I had

432

:

never done before, um, I would just like

have some mirror moments with myself

433

:

where I would just like make eye contact

and say, you know, "I'm a data analyst.

434

:

I can do this."

435

:

You know, "I have what it

takes to like, get this job."

436

:

So honestly, it was kind of

like a mindfulness practice in a

437

:

way, um, while it was happening.

438

:

And I was doing lots of yoga and drinking

lots of tea and just trying to remain calm

439

:

because, you know, my job was so chaotic.

440

:

Um, it was so chaotic and I really,

um, was coping with that in a

441

:

way by, uh, by spending all of my

energy trying to make this happen.

442

:

Um, but yeah, I, I think a

healthy amount of delusion can

443

:

serve someone pr- pretty well.

444

:

I mean, 'cause on my,

on my resume, I put…

445

:

I would tailor the title.

446

:

I would just put Mason Rice, data

analyst or business analyst or financial

447

:

analyst, whatever the job posting

was, and put it on there and add my…

448

:

You know, and I kept my, uh, teaching

experience on my resume, but I put my

449

:

data analytics stuff at the very top and

all of my portfolio and stuff and skills

450

:

at the top and tried to like push the

s- the teaching stuff down a little bit.

451

:

But, um, but yeah

452

:

That's, I mean, I love that,

having a healthy delusion.

453

:

I think that's, that's a great thing.

454

:

And, and one thing, one thing I try

to talk about in the program is,

455

:

like, one, I don't think anyone's

ever ready to become a data analyst,

456

:

especially 'cause it's always changing.

457

:

A- and two, it's like if you don't think

you're ready to be a, a data analyst or

458

:

apply to data analytics jobs yet, well,

can you at least fake it till you make it?

459

:

'Cause I promise you, like- Period

… like, you're more ready than you realize.

460

:

And a lot of the times when, you know,

you're getting rejected, you know,

461

:

'cause that happens, 'cause, like, what?

462

:

There's, I don't know how many interviews

you got out of, out of those 80 or 100

463

:

that you applied for, but, like, over,

over 75% of them, 80% of them, you

464

:

probably got ghosted or rejected, right?

465

:

And- Oh, yeah … and I think that s-

people think that means, "Oh, I suck.

466

:

I suck as a data analyst."

467

:

And it's like, no, you're normal.

468

:

That's how it is when

you're applying for jobs.

469

:

It's like, it's like, for instance,

a Hall of Fame baseball player, if

470

:

they hit the ball one out of three

times, they're a Hall of Famer, right?

471

:

And it's not like, "Oh, I missed

it two out of three times.

472

:

I suck."

473

:

It's like, no, that's par for the course.

474

:

That's, like, what we're supposed to do.

475

:

And I think some people get

s- so discouraged with that.

476

:

Um, so how were you able to stay

optimistic when you weren't hearing

477

:

back or when you got rejected?

478

:

Well, for me, I think I, I kinda

knew what I was up against in a way.

479

:

Like, when I applied for my job,

there were probably 300 applicants

480

:

on the first day, you know?

481

:

And every time a role gets

posted at Humana, that's

482

:

kind of the story, you know?

483

:

There's always all of these applicants.

484

:

So my strategy was always, you know,

what can I do, what, what can I do

485

:

that's gonna make myself stand out?

486

:

Um, the number one thing was apply

for hybrid jobs in Louisville.

487

:

I mean, I was exclusively applying

for hybrid jobs in Louisville

488

:

because I knew that my…

489

:

If I could just get my foot in the door

and get an interview, I could, I could

490

:

land it because I could talk my way to it.

491

:

Uh I would make, I would somehow

be able to convince those people,

492

:

or at least, like, to have a, to

start making connections in a way.

493

:

Um, so- Applying for hybrid

jobs, uh, also just knowing that

494

:

applying and then moving on.

495

:

Like, if I never hear…

496

:

I don't expect to hear from most- for

most of these jobs that I'm applying

497

:

for, so I'm gonna give them, like,

the time that the job speaks to me.

498

:

You know, if I'm not that

excited about the job, uh, I'll,

499

:

I'll fill out the application.

500

:

But if I'm really excited about it or

it seems like I could really have a

501

:

shot, I'll spend a lot of time on this.

502

:

Um, but I kind of had, like,

drafted my elevator pitch.

503

:

I had drafted my answers to,

like, common questions and just

504

:

learned what applications were

looking for, what they were asking

505

:

for, and it made it a lot easier.

506

:

And yeah, I d- I definitely didn't

take any personal offense by not

507

:

getting a job because at some point,

you know, they never see your face.

508

:

You know, they never get to speak to you

until you're in an interview, and so it's

509

:

like if you say no, you're missing out.

510

:

Dude, that, that is a great attitude.

511

:

Um, how else did you stand out?

512

:

So one of the things that you mentioned

earlier was you were able to secure a

513

:

referral for this application, and that

was Erin- Okay … um, who had joined,

514

:

you know, my accelerator program,

came and did data analysis at Humana.

515

:

You found this opening at Humana, you

apply for it, and she was a referral.

516

:

Did…

517

:

Was that helpful in the interview process?

518

:

Like, was…

519

:

How did that process go down?

520

:

Oh yeah, absolutely, because my boss had

a desk right next to Aaron, you know?

521

:

Um, I mean, I would say that it's probably

the primary reason I got an interview, um,

522

:

because Aaron was willing to vouch for me.

523

:

Um, but once it was the interview, you

know, it was really up to me, um, to talk

524

:

about my projects 'cause they, they were

specifically asking about my projects,

525

:

my, the experience that I had at Sequel.

526

:

Um, I had a, I had a few technical

questions in there, you know, about join

527

:

types and, uh, what the most complicated

thing in Excel I had ever done was.

528

:

Um, oh, and this is totally off topic,

but my Excel project was on iFood.

529

:

Is it still the iFood-

Yep … Excel project?

530

:

Yeah.

531

:

I got that in a tr- I got that

as a trivia question last week.

532

:

Like, what is a Brazilian, like,

food delivery, uh, company?

533

:

And I was all on that.

534

:

Um- That's awesome.

535

:

So I thought about you

just, like, two weeks ago.

536

:

Oh, good.

537

:

Um, but yeah, I, at that point,

like, to stand out, I was just

538

:

gonna lead into my humanity.

539

:

I was like, I was just gonna try to show

them who I was more than what I could do.

540

:

Um, like I, every opportunity I had to

talk about my friends and my family and my

541

:

loved ones and things that I loved, I did.

542

:

I really tried to lean in to

just being a hard worker, um,

543

:

loving collaborating with people.

544

:

Um, I talked about my master's

mentor from my conducting degree.

545

:

I talked about my favorite principal

'cause u- 'cause all of those questions

546

:

like, uh, for the two interviews

that I did, the two different

547

:

companies, they both asked me, like,

"Who's your favorite boss been?"

548

:

And that was my opportunity

to talk about my experience.

549

:

Like, I'm gonna talk about my mentor.

550

:

I'm gonna talk about my principal.

551

:

Um, or what, like, all of the questions

that they're gonna ask you from like a

552

:

per- personal standpoint, you can use

your experience, uh, to talk about.

553

:

And a lot of those things are gonna

554

:

tell the story of who you are more

than, like, what you're able to

555

:

do in Excel, 'cause they can teach

you what they want you to know.

556

:

Because it, I, well, I would say

starting at any new company is always

557

:

gonna be a learning curve anyway.

558

:

I mean, I had a million different

acronyms to learn at Humana just because

559

:

I'm not part of that culture, and I had

to learn-- I mean, I've learned things

560

:

about finance, I've learned things

about healthcare, but I didn't know

561

:

any of that going in, and that's okay.

562

:

Like, I think at the end of the day,

what m- what at least the people on

563

:

my team were looking for was somebody

who was willing to learn, someone

564

:

who would be a good person they

could get along with, um, and that

565

:

brought, uh, at least a, a willingness

to give it a shot, um- To a table.

566

:

Uh, I, Mason, I just think you, you

brought up so many good points there.

567

:

Um, and, and one thing I

think you're really good at…

568

:

So, like, guys, undoubtedly Mason's

a, a smart person, a capable person.

569

:

Um, like, good, good technically.

570

:

Um, can understand data and make

it easy, communicate it well.

571

:

But, uh, if you, if you listen closely

to this story, like, you're really gonna

572

:

find that he landed this job because of

his social skills and, and his networking.

573

:

It's like Mason was brave enough to,

you know, he was new to a city, and

574

:

to go to these awkward events where

you don't know anyone, and you're

575

:

like, "Hi, I'm new to this city.

576

:

Uh, like, nice to meet you."

577

:

Like, you, you were social enough

and, and brave enough to go to those

578

:

things and meet people like Aaron.

579

:

And then you were brave enough

to know, "Hey, Aaron, do you

580

:

mind if we go get coffee so I can

learn more about your career?"

581

:

Uh, and then, you know, you're able to

say, "Hey, Aaron, can I use those a- as

582

:

a referral for this job application?"

583

:

And I think so many people are, are scared

of that, are just not willing to do it.

584

:

Or, or maybe it's just they don't see

the value in it because it's, it's

585

:

kinda like planting a seed, right?

586

:

It's like you don't

see the benefit- Mm-hmm

587

:

the immediate benefit of

doing these social things.

588

:

'Cause a lotta times social things or

networking doesn't actually lead to

589

:

anything valuable ever, or it's, you

know, many weeks or months or years before

590

:

it actually is something in- valuable.

591

:

And I think people get so addicted

to the dopamine of, I just learned,

592

:

you know, something new in SQL.

593

:

I hit execute on the SQL query, and I

got the results- Yes … immediately.

594

:

And they're like, ooh, dopamine hit.

595

:

Mm.

596

:

I'm, I'm making progress.

597

:

And, and I think some- p- people

get so addicted to learning

598

:

skills is how I land a data job.

599

:

And it's really, they're getting

distracted is learning skills

600

:

is how I get a, a dopamine hit.

601

:

It's like there's no correlation-

Mm … between how skilled you are at

602

:

SQL and how quickly, uh, you land a job.

603

:

'Cause, like, I mean, you, you, like you

said, you dove in headfirst, you did the

604

:

modules, you, you did the SQL modules.

605

:

But it's like you couldn't have been

that good at SQL after six weeks of

606

:

learning what SQL even meant, right?

607

:

Compared to someone who's

been doing it for a year.

608

:

But you were able to land a job in those

six weeks because you followed the full

609

:

SPN method of learning some skills.

610

:

Like, there was a bare minimum

amount of skills you had to have.

611

:

You had a project with SQL in your

portfolio, and then your networking.

612

:

Like, really it was all

three of them landed a job.

613

:

And I think some people get so addicted

to the, the skills part of it that

614

:

they kinda forget the other two.

615

:

Like, do you agree with me

that, like- Oh, yeah Absolutely.

616

:

I mean, I think you're touching on

something that's affecting our entire

617

:

culture, uh, generally, is that,

you know, we have a dopamine hit

618

:

in our pocket, like, all the time.

619

:

And so it's kind of like we're

chasing that all the time.

620

:

But the humanity and the person to

person has really been my whole career.

621

:

I mean, the through line of my tr-

trajectory in all of my jobs has just

622

:

been connecting with people, getting

to know people, working with people.

623

:

How do I get this group of people

to do what I'm asking them to do?

624

:

And now, how can I use this group

of people that I know to help me

625

:

get to the place I wanna go next?

626

:

Um, I completely agree.

627

:

And yeah After like the first two

weeks on my job, I was like, "Yeah,

628

:

no, I actually don't know anything."

629

:

I was like, "I don't know what I'm…

630

:

There's so many things that I don't know."

631

:

You know, I was handed my-- I inherited

some codes and my first job was just

632

:

like, "Okay, go learn the code."

633

:

I didn't know how to

comment things in SQL.

634

:

I didn't know that you could like hit the

little green button up at the top of SQL

635

:

Server and like take a line of code out.

636

:

I didn't know that you could run

like little chunks of code at once.

637

:

I didn't know like really

how to join anything.

638

:

I knew what the joins were 'cause I

knew what those little Venn diagrams

639

:

were enough to say like, "Yeah, a

left join keeps the first table."

640

:

But, uh, I didn't know the practical

application of that or what questions

641

:

were really trying to solve.

642

:

I just knew the skill.

643

:

Um, and so yeah, I think all the other

stuff comes and, um, you know, and I

644

:

was okay with it coming on the job.

645

:

And, you know, I, I, I was very

straightforward, uh, after I, after

646

:

I got the job to say, "Look, I'm

gonna make mistakes, you know.

647

:

I anticipate that.

648

:

Just be patient with me.

649

:

I'll figure it out.

650

:

You know, I, I am best

friends with Google.

651

:

I, I am best friends with, uh, my coworker

up, up the cubicle, and, uh, I'll ask

652

:

her, you know, if I, if I need some help."

653

:

And, and I, I was able to

figure it out as time went on.

654

:

Um, and I'm still…

655

:

I mean, to this day, I'm still

figuring stuff out, you know.

656

:

Like I have…

657

:

Th- there are codes that I have lived

with for a year and a half now, and I

658

:

look at it and I think, "Is this really,

is this really what I've been using?

659

:

You know?

660

:

Uh, or maybe I should do something

about this part at some point."

661

:

Um, but you know, also when I took this

job, they had documentation that told

662

:

me step by step what I needed to do.

663

:

You know?

664

:

They had it l- they had the

job written on paper for me.

665

:

So every time, every time it came

around to I, where, when I needed to

666

:

make my reports or whatever, I would

go down the checklist, do number

667

:

one, do number two, do number three.

668

:

And by the th- fourth or fifth time

of doing that, I was like, "Okay, I

669

:

kinda know what the checklist is."

670

:

And I'm now like looking at how to

validate this data and how to make,

671

:

make sure that it's exactly what we

want it to be, and maybe ask some more

672

:

intelligent questions than just doing the

job, uh, which is what I think they…

673

:

Is, is where, you know, I, I've

been headed in my journey now.

674

:

Um, but yeah.

675

:

And I, I think it's just being open

to having, having those relationships,

676

:

being okay with failing a little bit,

being okay-- And not even failing,

677

:

just making mistakes, um, and being

okay with Not knowing and just take,

678

:

I honestly, I, I'm all for taking

the leap and just going for it.

679

:

It, it can be messy.

680

:

I've certainly had some messy moments,

but, um, yeah, I still have a job

681

:

doing the thing that I wanted to do.

682

:

And you're getting paid to learn.

683

:

Like, that's, that's the whole goal

is, like, we try to get you, uh…

684

:

We teach you the, all you need to know

to land your first job, and then you can

685

:

go get paid to learn the rest on the job.

686

:

Because that's the best way to learn

anyways, because that way you're

687

:

maximizing your time, you're maximizing

your wallet, and honestly, like,

688

:

it's just the best place to learn

because you'll actually use everything

689

:

you're learning at work versus

you probably won't use everything

690

:

you learn in a school environment.

691

:

So, um, I love that.

692

:

One of the things you mentioned is, like,

you were, you were working, um, while

693

:

you were trying to, you know, pivot to

data analytics, and you, and you talked a

694

:

little bit about listening to the podcast.

695

:

I don't know if that's, like,

the publi- public data career

696

:

podcast or the member-only podcast

that you're listening to- Mm

697

:

on your commute to work.

698

:

Right.

699

:

You talked about utilizing, you

know, your holidays, your sick

700

:

days, those types of things.

701

:

Um, what else were you, like, kind of

studying, getting these job applications?

702

:

And was it early mornings for you?

703

:

Was it late nights?

704

:

Was it kind of all over the place?

705

:

Uh, it was mostly in the evenings,

um, because I mean, my school would

706

:

start at 7:20 AM, so I, I would

wake up at 6:30, which is late

707

:

to be waking up to go to work.

708

:

Um, and I was listening to

the members only podcast and

709

:

the public podcast as well.

710

:

But I was thinking about it all day at

school and trying to like, you know,

711

:

plan what's my, what's my goal for today?

712

:

If I can get through this SQL module

in the next two days, um, 'cause I

713

:

guess my goal was to at least have

five projects, two S- I wanted the

714

:

two SQL projects, I wanted the Tableau

and the Excel project for sure.

715

:

Um, and then go from there.

716

:

But yeah, I was using the evenings mostly.

717

:

Um, and the weekends.

718

:

I mean, I blocked off my

Saturdays and Sundays as well.

719

:

Uh, was calling in, um, to like miss

choir rehearsal a couple times 'cause I,

720

:

at that point I was just still a singer

and, um, I was using every free minute

721

:

I could to just, to make it happen.

722

:

But yeah, I mean, I really can't

stress enough, like if you don't

723

:

use your sick days, you lose them.

724

:

So just use them.

725

:

Uh, that was probably the biggest

thing for me, was just taking

726

:

the time off, um, to, to devote.

727

:

We, we should also mention that, um,

you know, you're talking about the

728

:

time to do all of this, that, um,

if I'm correct, you still haven't

729

:

finished the program completely.

730

:

Which, which I freaking love because

my, my, my point here is like,

731

:

my job is to land you a data job.

732

:

I don't care about you, you

know, finishing the program.

733

:

The…

734

:

If you finish the program

when you land a data job.

735

:

Um, so like you're, you, you have a

certificate, like we, we celebrate

736

:

you like, because you got a data job.

737

:

You did, you did the hard part.

738

:

Um, and I, I just wanna make that clear

because I think it's important that, you

739

:

know, people realize, you know, we're,

we're all learning data for job purposes.

740

:

We're not learning it for funsies.

741

:

We're learning it to, to have a job.

742

:

And you've, like you said, you've

done, you know, all of the, all

743

:

of the SQL, and I think you've

done all of the Tableau as well.

744

:

So like- Mm-hmm … you did everything

you were supposed to land that job.

745

:

You learned everything on the job

and, uh, I think that's fantastic.

746

:

I wanna talk about moving forward from

you, because by the time this episode

747

:

comes out- Sure … it'll probably be

public knowledge that you're, you're

748

:

taking a, a different job, kind of like

more of a, a dream passion job for you.

749

:

Um, you wanna tell us a

little bit about that?

750

:

Yeah, absolutely.

751

:

So here we are yet again

with another career pivot.

752

:

Um, but I am actually stepping into

the role of artistic director for

753

:

our local LGBTQ+ chorus, Voices of

Kentuckiana, here in Louisville.

754

:

Um, it's been in the works

for a while, uh, but I will be

755

:

going back into music full-time.

756

:

Um, so I, I, I'm also gonna be, um,

teaching choir temporarily at Bellarmine

757

:

University and working as a pianist

at the University of Louisville.

758

:

So, um, while I've been, you know,

working at Humana, I've also been

759

:

continuing to invest in music and invest

in my network here in Louisville, and

760

:

those have kinda come around and, uh,

now I'm stepping into this dream job.

761

:

I mean, I'm gonna get to conduct a chorus

of, like, 110 adults, um, who perform all

762

:

year long, um, music of all types, and

an advanced chorus of, like, 28 singers.

763

:

Um, it's, it's kinda, it's, it's the kinda

job that people retire into, you know?

764

:

It's like this is the job that

is just comfortable and fun and

765

:

mission-driven and, um, it's in the

nonprofit sector as well, so I've got

766

:

a lot of 501[c][3]3 and grant funding

paperwork that I'm gonna have to learn.

767

:

Um, but, um, it really is a great, uh

convergence of all the skills that I've

768

:

gained over my time, um, both at Humana

and teaching, teaching chorus as well.

769

:

Um, yeah, I, I'm like so thrilled

that this is happening in my

770

:

life, and it's really kind of

cosmically an unbelievable thing.

771

:

So yeah, I'm excited.

772

:

That's amazing.

773

:

Um, I think, I think it's important to,

to always reflect that, like, for…

774

:

I, I love data.

775

:

I think data's very interesting, but if

you told me that I could, like, have a

776

:

comfortable life doing sports stuff or

Pokemon stuff, I'd probably choose those

777

:

things uh, o- o- over data as well.

778

:

It's not like data's my

p- like, I love data.

779

:

Data's really fun, but it's not

like if all things were equal in,

780

:

in my life, like, if I could like…

781

:

For instance, uh, I have a, a, a

friend right now that just moved

782

:

over to Europe to play soccer.

783

:

Um, they're not making very much

money- Oh, wow … and, like, I

784

:

couldn't support my family doing that.

785

:

But, like, I'm super jealous.

786

:

Like, I wish I could just go, you

know, play professional soccer, you

787

:

know, somewhere, somewhere else.

788

:

So I think, I think it's awesome, like,

you're, you're following, uh, like,

789

:

what your, what your true passions work.

790

:

Like, I just think that's, that's great.

791

:

Um, and, and one thing I wanted, I

wanna talk about was, like, you worked

792

:

for, uh, a really big company, a really

big company in the US, like a behemoth

793

:

of a company, and I did as well.

794

:

I worked for, for ExxonMobil, which

is, like, one of the top 10 biggest

795

:

companies in the United States.

796

:

Um, and there's something to be

said about, like, corporate work,

797

:

no matter what you do, sometimes

can be a little soul-sucking.

798

:

When I was at Exxon, there was times

where I felt like I was, like, this

799

:

tiny, tiny gear that, like, just keeps

spinning no matter what in, like, this

800

:

huge, like, wall of different gears.

801

:

And often it felt like even if

I stopped spinning the gear,

802

:

everything kept moving on and that

my work felt a little meaningless.

803

:

Um, do you wanna just talk about,

like, what it was like to work

804

:

for a big company and maybe how it

differed from working from, like,

805

:

for instance, a choir or a school?

806

:

Yeah.

807

:

I mean, I think you hit the

nail on the head already.

808

:

Um, you know, a job is a job, is

a job, is a job, and it's always

809

:

gonna come with pros and cons.

810

:

And I found that moving from

teaching to this large corporation

811

:

was quite a culture shock.

812

:

Um, I really struggled.

813

:

I, I have struggled with that the

whole time I've been at Humana.

814

:

Um, and Humana overall, and my, my team

in general, they have a great culture.

815

:

Everybody gets along really well.

816

:

It's a very, very positive environment.

817

:

However, there is just a, an element

of superficiality that comes with

818

:

working in a large corporation.

819

:

Um, lots of like, "We're

doing what's best.

820

:

We're doing what's best for our members.

821

:

We're doing what's best for our

people, for the world, for…"

822

:

And sometimes it's really

hard to buy into that.

823

:

Um, sometimes I've really struggled

feeling like my work actually mattered,

824

:

um, that my voice was being heard, um,

that I, even if it would matter if I left.

825

:

Um, at, at the end of the

day, I don't think it i- I

826

:

think, I don't think it does.

827

:

Um, I think that's just been

something that I've struggled with.

828

:

Like I, like you said, I, I'm

kind of just a cog in the wheel.

829

:

I'm definitely a low man on

the totem pole in that company.

830

:

Um, you know, I Find it difficult

sometimes to connect with people who

831

:

are higher up on the ladder than me,

'cause they're playing an entirely

832

:

different game than I wanna play.

833

:

Um, yeah, just to, just to actually

watch people play the corporate social

834

:

ladder game is really exhausting.

835

:

Uh, it's really kind of scary.

836

:

Um, you know, I could…

837

:

And, and, and this is not speaking

to everybody at the company for

838

:

sure, um, 'cause there are gems

that work in that, uh, building.

839

:

But, uh, but yeah, sometimes

it's really challenging.

840

:

It's really challenging to watch

people put themselves through, like,

841

:

a whole rigamarole and pretend that

things are really exciting and that

842

:

transformation, the transformation

that our company's going through

843

:

is so cool when, like, thousands of

people are being laid off, you know?

844

:

So it's just kind of a really

strange culture at times.

845

:

Um, so I mean, that's why I find it

really important to, like, connect with

846

:

people who are on your level and just

kinda commiserate with what's going

847

:

on and try to find the people who you

can really, like, be yourself with.

848

:

Um, 'cause it's not always everybody.

849

:

I mean, that's why it's so cool that

you're, you're taking on the, you

850

:

know, this dr- new kinda dream job

'cause it's like you're definitely

851

:

gonna feel the impact you're making.

852

:

And before I worked for, for ExxonMobil,

I worked for a really small, uh,

853

:

biotech company where I was, like, the

10th person hired, and it was, like,

854

:

the exact opposite there, almost to a

fault, where it was like everything I do

855

:

really matters, and if I, like, and if

I mess up, like, the company feels it.

856

:

Uh, so there's…

857

:

And, and that, that sucked in some

ways because it was, like, very,

858

:

it was almost more high pressure.

859

:

Um, but I definitely felt

my work was more meaningful.

860

:

So I guess this is just to say

there's, there's pros and cons of

861

:

big companies and small companies

and, you know, try to figure, figure

862

:

out what's, what's right for you.

863

:

Um, Mason and I both decided we like kind

of a smaller company, uh, standpoint.

864

:

Um, but just something to be

thinking about on your job hunt.

865

:

Okay, Mason, what would you say to maybe

someone that's a teacher right now, um,

866

:

who's listening, or maybe someone who's

just an aspiring data analyst and they're

867

:

like, they've been, like, struggling.

868

:

Like, maybe they've been stuck in tutorial

hell or maybe they've been, you know,

869

:

grinding- Mm … all these tutorials

but not really making any true progress.

870

:

What would you, what

advice would you give them?

871

:

I would say just make

sure that you prioritize.

872

:

You know, if, if finishing those

tutorials is something that

873

:

you wanna do, make it happen.

874

:

Um, I kind of fi- found that I was letting

my exhaustion from teaching get in the

875

:

way, and it's easy to be exhausted.

876

:

But, um, I think if you need to take some

time for yourself to like-- or just take

877

:

a time for a break, you should do that.

878

:

Um, you should take some time off.

879

:

You should invest in yourself, uh,

because at the end of the day, like,

880

:

you're gonna be the one looking out

for you, and really you're the only

881

:

one that knows what's best for you.

882

:

And, um, you know, when I, when I

think about, you know, transitioning

883

:

my career, like I thought that moving

to Humana was gonna be what's best for

884

:

me, and it was, and then it wasn't, and

now I'm moving on to something else.

885

:

And so I feel like life is just a big

series of decisions, so make some.

886

:

That's it.

887

:

Uh, if you were to talk to someone

who's maybe like been listening to this

888

:

podcast quite a bit, been listening, been

looking at joining the Data Analytics

889

:

Accelerator, but hasn't pulled the trigger

yet, what advice would you give them?

890

:

Like, would you feel like it was

worth it for you in your journey?

891

:

Um, I would say

892

:

If you want it, keep going for it.

893

:

And don't be afraid to change it up.

894

:

Don't be afraid to change tactics.

895

:

You know, uh, the amount of times that

I tweaked my resume, the amount of times

896

:

that I ran it through that Skill Syncer,

um, to see if it would pass the AI test,

897

:

um, the amount of times that I tried to

change wordings to make myself seem more

898

:

fun or more financial or more logistical

or whatever, um, I just kept throwing

899

:

stuff at the wall until it worked.

900

:

Uh, and I would just say keep

changing, and, a- and if s- if it's

901

:

not working right now, change it.

902

:

Change, change what you're doing

and, and try something else.

903

:

Um, I- it's definitely possible,

um, to break in to the field.

904

:

Um, it's, it's hard just because, and

it's mostly gonna be about who you know,

905

:

so, like, apply for hybrid jobs and

stuff and, and go network with people.

906

:

But, um, keep doing it.

907

:

Just keep doing it.

908

:

And honestly just…

909

:

But also invest in the

things that give you joy.

910

:

Um, go out and join a dodgeball team or

a kickball team or go sing in a choir.

911

:

Come sing in my choir.

912

:

Um, like, just go out and do

something fun because you may

913

:

meet the person that's gonna, you

know, help you find something new.

914

:

It might not even be data.

915

:

It may be something you don't

even know about yet, you know?

916

:

Um, so just go out and meet

people and I, 'cause I think

917

:

people are the best part of life.

918

:

So invest in your people

and go find new ones.

919

:

Amazing advice, Mason.

920

:

Your, uh, your zeal for life is

infectious, and I hope everyone listening

921

:

today, uh, takes even just a sliver

of, of your energy and your mentality.

922

:

Guys, if you wanna change your data

career, it's 100% possible Thank

923

:

you We have a bunch of links in the

description down below that can help you

924

:

get started, including we'll have a, a

link to, uh, Mason's LinkedIn profile.

925

:

You guys can kinda check out his story

and connect with him on LinkedIn.

926

:

Mason, thank you so much

for joining The Data Career

927

:

Podcast and sharing your story.

928

:

I think it's gonna

inspire a lot of people.

929

:

Thank you.

930

:

Thank you for having me.

931

:

I mean, again, this is

truly crazy incredible.

932

:

Um, yeah, reach out to me on LinkedIn

if you want, uh, any advice or whatever.

933

:

I'll do my best.

934

:

I honestly, I haven't

been on there in months.

935

:

But you should also follow,

um, our chorus at voicesky.org,

936

:

um, on Instagram and Facebook

as well, Voices of Kentuckiana.

937

:

Um, that's where I'm gonna be moving, so,

uh, you can keep up with, with me there.

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