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191: I helped this beginner become a data analyst (Jordan Temple)
Episode 19122nd December 2025 • Data Career Podcast: Helping You Land a Data Analyst Job FAST • Avery Smith - Data Career Coach
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Most aspiring data analysts struggle with knowing what projects to build. This list of 5 projects spans beginner to advanced levels and is designed to impress recruiters and hiring managers.

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⌚ TIMESTAMPS

00:00 – From construction to Senior Financial Analyst (no applications)

03:06 – Why his non-data background actually helped

08:24 – The projects + portfolio that made recruiters reach out

10:27– How LinkedIn led to a job offer

23:03 – Biggest lessons for breaking into data

🔗 CONNECT WITH JORDAN

https://www.linkedin.com/in/jtemplemba/

🔗 CONNECT WITH AVERY

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🤝 LinkedIn

📸 Instagram

🎵 TikTok

💻 Website

Mentioned in this episode:

🎉 The 2026 Cohort of The Data Analytics Accelerator 🎉

Ready to land your data job in 2025? We're starting the 2026 Cohort on January 5th. This bootcamp is everything you need to land your first data job. Check out our New Year's sale & bonuses: https://datacareerjumpstart.com/daa

https://www.datacareerjumpstart.com/daa

Transcripts

Speaker:

Today I wanna tell you about

my friend Jordan Temple.

2

:

Jordan was a construction

cost estimator and a hundred

3

:

percent new to data analytics.

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:

No experience whatsoever,

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:

but somehow a few months later,

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:

he landed a senior financial analyst role.

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:

Without even applying for the job.

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:

A recruiter actually found him on

LinkedIn, messaged him, and he had

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:

a job offer shortly thereafter.

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:

So in today's episode, we'll talk about

what Jordan did, where I helped him,

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:

and how you can steal our strategy

to get recruiters in your inbox and

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:

ultimately land your own data jobs.

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:

So let's go ahead and dive in.

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:

But first I wanna tell you

that this episode is sponsored

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:

by me in my own newsletter.

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:

Every Wednesday I send a newsletter

designed to help you land your data job.

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:

It has a lesson, job listings,

and a personal note from yours.

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:

Truly,

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:

it's a hundred percent free, and you

can join 25,000 other aspiring data

20

:

professionals@datacareerjumpstart.com

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:

slash newsletter.

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:

Or you can just click on the

link, the description down below.

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:

Now let's go ahead and hop in.

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:

Avery Smith: our guest today is Jordan.

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:

Jordan went through the Data

Analytics Accelerator program and

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now is a Senior Financial Analyst

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at a company called,

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extentnet Systems.

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Senior Financial Analyst.

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Beforehand, I'll let

you kind of explain it.

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You are a cost estimator.

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Is that right?

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Jordan Temple: yeah, yeah.

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So work for a general contractor.

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And I was in the estimating

department, but it was a lot of

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budget and cost estimation for

ground up construction projects.

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Avery Smith: Okay, so like, is this

like residential or more commercial?

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Jordan Temple: It was mostly

residential multifamily apartments

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and some single family homes.

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Avery Smith: Gotcha.

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So if someone's building a new home

and they want to like, maybe they

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had like a plan, for example, from an

architect or something like that, or

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maybe it was like a developer had a

bunch of homes they want to get built.

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They'd come to your company and

specifically you and be like, Hey,

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how much does this get a cost and

you'd kind of give an estimate

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of what that project might cost.

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Jordan Temple: Yeah, exactly.

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They, would approach us with their

construction drawings and we would look

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through them and essentially put together

a conceptual budget based on what we

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saw in the drawings and go from there.

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Avery Smith: Okay.

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So I'm not a construction expert.

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I haven't been really exposed to that

industry very much, but that doesn't

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sound super data analytics y to me.

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Would you agree with that?

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Or,

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Jordan Temple: Yeah.

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No, it's it's definitely not really

the the most data thing about it is

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looking at historical costs just to

see What has changed over the years

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that way you can use that to forecast

what future costs are going to be.

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Avery Smith: okay.

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So in a matter of a few months, you're

able to go from a role that wasn't

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necessarily very related to data analytics

to a senior financial analyst role.

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So that seems like a pretty

big jump, especially getting

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that senior in that title.

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So in today's episode, I was hoping you

kind of walk me through that journey of

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going from, you know, this cost estimator

to a senior financial analyst and what

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exactly it took, you know, what, decisions

did you make that you're glad you make,

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what are some things you kind of wish

you did maybe earlier in the process?

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Does that sound good with you?

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Jordan Temple: Yeah, that sounds great.

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Let's get started.

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Avery Smith: Okay, sweet.

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So I guess maybe we'll work

a little bit backwards.

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So you got the senior

financial analyst role.

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What are some of the, you know,

Qualifications for this role

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that they were looking for.

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Jordan Temple: One of the biggest things

that they were looking for was someone

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who had a construction background.

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They wanted someone who I guess

understood that side of the business.

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Because first and foremost, we're

a telecommunications company.

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We work with AT& T, Verizon, T Mobile.

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And the big network providers and

we install fiber optic cable for

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like outdoor and indoor facilities.

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So they wanted someone that was

familiar with the construction

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side of things and had dabbled

in data just a bit for the role.

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So that's, kind of their, main asks.

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Avery Smith: Okay.

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And I think that's really important

to, realize is a lot of data roles.

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I kind of said your background

wasn't very data analytics y, but

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we see that that's actually kind

of what they wanted in this case.

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And there's actually a lot of roles

like this, no matter what role you're

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currently in, if you're listening to this.

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Like you can probably use it in

data analytics one way or another.

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We've had a lot of teachers come

through, the data analytics accelerator

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program, and they ended up becoming,

you know, educational data analysts,

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or they become data analysts for a

school system or some online learning

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platform or something like that.

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And in your case, you took

your construction background.

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Now you're kind of like a construction

data financial analyst type.

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Jordan Temple: Yeah, that's,

that's essentially what it is.

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Avery Smith: Okay.

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Which is really cool.

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I don't think I realized that

it did telecommunication stuff.

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One of the projects I did in my

consulting company, Snow Data Science,

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you might find this interesting, was

I helped create an algorithm based off

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of historic data, like you mentioned

earlier that it was for a company.

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I don't even know what they exactly did

but they provided quotes of how much it

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would install, how much it would cost to

install I guess like high speed internet

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in their like residential office places.

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So a lot of the times they had

like fiber going close to their

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You know, business, but it didn't

actually tie into their business.

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And so they'd want to quickly, they

want their salespeople to be quickly to

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estimate the cost of what it might cost

that like this, company I was calling,

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you know, how much is it going to cost to

get high speed internet in, our building?

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Well, these salespeople

obviously didn't really know.

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And so what we'd use is the historic

database, a bunch of different factors,

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and try to create a predictive model

to be like, yeah, it's going to

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cost, you know, 50, 000 or something

like that, and give these sales

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people a quick and dirty estimate.

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So anyway, it sounds like at least a

little bit similar in those spaces.

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Jordan Temple: It's, , somewhat

similar to what we do.

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Avery Smith: Okay.

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That's, really neat.

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So now that, you're at this company what

tools are you using on a day to day basis?

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Jordan Temple: So the role

is really Excel heavy.

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We do a lot of analyzing data

in Excel, you know, using pivot

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tables and things like that.

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Other than Excel, we use

Power BI a fair amount.

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Not so much building reports anymore.

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Most everything has already

been built and put together.

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Now we just utilize those in our day

to day functions, such as validating

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costs and things like that across

the markets that we do work in.

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Avery Smith: Yeah, that's awesome.

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First off, it's really cool that you

can land I just want everyone listening

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to realize you can land a senior

data role with like just using Excel.

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Jordan's proof of that, especially

if you're leveraging that, senior,

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background from construction that you

have, because you do have all those

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years of experience in construction.

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and then also it's just awesome

that you're using, you know, Power

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BI, not necessarily that you're

creating these Power BI reports, but

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you're able to know how they work.

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If they break, you could fix them, those

types of things, because you are right.

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That like a lot of us, especially

when we want to you know, when we're

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new to this, we're like, Oh my gosh,

I'm going to go to this company.

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I'm going to start doing the coolest

things on planet earth, and I'm going

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to save the world and make these cool

visualizations and dashboards and models.

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But what it comes down to a lot

of the time is we did that a long

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time ago and you just need to help

fix stuff if it breaks or just

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Jordan Temple: Exactly.

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Mainly just there to maintain

it if something messes up.

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Or if you want to create something

on your own, you know, you would

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think is beneficial to your

role specifically, you know.

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Avery Smith: yeah.

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Okay.

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So that's a little bit

about what you do now.

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Let's talk about how you got this role.

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So what made you interested in

data analytics in the first place?

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Jordan Temple: So, I'm a big baseball

guy, a big baseball fan, so analytics

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got really big in baseball, I

don't know, 10, 15 years ago, so.

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Just that's kind of how I first got

introduced to data analytics and that

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whole train of thought and mindset.

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And I've always kind of had it in

the back of my head that it would

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be really cool to work in data.

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I've got my MBA.

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I took a few analytics

courses really enjoyed those.

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And whenever I finished my program, I was

hopeful to get some sort of analyst job.

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You know, that didn't work out.

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I ended up getting into construction.

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And worked in construction

for several years.

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Enjoyed what I did, you know, working

in construction, but knew that I wanted

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to get into something a little more,

you know, numbers and data driven.

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So that's whenever I found your program

and attended one of your, and, you

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know, informational calls and, you

know, things took off from there.

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Avery Smith: Yeah.

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Okay.

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So you were kind of

like a money ball child.

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Jordan Temple: Yeah.

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Yeah.

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Very similar.

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Avery Smith: Yeah.

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That's awesome.

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I love the movie money ball

of the book money ball.

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Yeah, I think, analytics and baseball and

sports in general is really fascinating.

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And, that makes sense.

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So you kind of done this

business stuff in the past.

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You know, you were hoping out of the

MBA to maybe land an analyst job.

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What do you think the main difference

between, you know, coming out of

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your MBA versus, you know, this

last time you tried to get into

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analytics, what was the biggest

difference that in the end for you?

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Jordan Temple: I would say just having

the hands on experience with the projects

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that were done in the program and having a

portfolio, you know, none of those things

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were really covered in my MBA program.

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It was just more or less an introduction

to different analytic systems and

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more theory based than application.

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Avery Smith: Yeah.

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And there is a difference between the

theory and the application, isn't there?

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Jordan Temple: yeah, no doubt,

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Avery Smith: Yeah, that,

totally makes sense.

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For me, even when I got my master's degree

at Georgia Tech in data analytics, it's

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one thing to learn the skills, right?

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It's another thing to apply the

skills, and then it's a whole other

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thing to show off your skills.

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And for me, I mean, you can

kind of in, the program, I

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try to do all three at once.

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But if you're not cognitively

thinking through, it's really

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easy just to stop at step one of

learning the skills and skipping the

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applying and skipping the showing.

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Right?

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Jordan Temple: Mm hmm.

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Avery Smith: Yeah, I agree.

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I think my program did a good job

of teaching me, but didn't do a good

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job at helping me make it applied and

helping me , show off those skills.

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So, okay.

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You joined the program.

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We're doing projects for

showing off our skills.

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You start doing a little bit

more stuff on LinkedIn as well.

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Correct.

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Jordan Temple: Yeah, yeah.

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So started posting a few times a week

utilize the articles function and

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would post my module projects on those.

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Reach out to different content

creators on LinkedIn and, you know,

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leave comments and engage with,

other folks in the industry as well.

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And that was kind of how

I got my foot in the door.

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Avery Smith: Yeah.

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Okay.

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I like that.

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Explain that a little bit more,

tell the listeners, how did

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you get your front of the door?

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Jordan Temple: Yeah, I mean,

just being proactive on LinkedIn.

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I mean, anything from posting about,

you know, my, weekly goals and steps

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within the program interacting with

other students in the program, posting

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projects asking for feedback on things.

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I mean, just trying to be

as proactive as possible.

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Avery Smith: Yeah.

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You did a great job.

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You have a great looking profile.

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You, commented, you know,

thoughtful, left good comments

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and you also created good posts.

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You know, like you mentioned, you create

some articles, you create some posts.

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And eventually that got to a point where

someone, noticed a recruiter DMD, right?

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Jordan Temple: Yeah, yeah, that's

how I have my current role is someone

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DM'd me about the position asked

me if I would be interested in it.

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They sent over the the job description.

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I read through it and did not

feel qualified for it at all.

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I felt like it was just way over my

head, , they were pretty insistent that

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I would be a good fit for the role.

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So I was like, you know

what, let's go for it.

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I had a call with someone at

the the recruiting agency.

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We, spoke for 30 or 45 minutes, I would

say just getting more familiar with each

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other, my background and things like that.

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And they were like, yeah,

everything looks good.

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We're going to send your profile on to

the company and we'll let you know that

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they're interested in moving forward.

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And I would say within 30 minutes

of the conversation being over, they

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reached out and said that the company

wanted to set up an interview with me.

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So that was really nice.

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Avery Smith: Yeah.

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And, I think there's something really

important here because this was a

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third party agency, recruiting agency

that reached out to you via DM on

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LinkedIn said, Hey, we saw your profile.

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We might think you're a

good fit for this role.

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And then they presented you to

the company and we're kind of like

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backing you like, Hey, this is our

candidate or one of our candidates.

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We feel really strongly about Jordan.

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And this is something I like

to call the job hunt reversal.

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It takes a lot of factors, you

know, one of it is luck, right?

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Because one of the reasons why

this company liked you so much

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was, you were in the area that

they were looking for, right?

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They weren't like, they're looking

for someone in a hybrid role.

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We'll talk about this here in a bit.

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So that was kind of like, the

location was a good for you.

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You had a great background that's on you.

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Cause you had, you know, you have done

the choices you've made have given you the

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background and experience that you have.

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So that was on you.

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You had a great LinkedIn profile.

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You know, which is something that

we've been working together on, like

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making sure LinkedIn profile was good.

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We were active on it so that we were

like hyping up the LinkedIn algorithm

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to like be interested in us and, you

know, have a better chance of attracting

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recruiters and stuff like this through

that whole process, you weren't

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going out and applying for that job.

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That job was almost

applying for you, right?

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Like all of a sudden, instead of

you contacting a recruiter and

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being like, Hey, please hire me.

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The recruiter reached out to you and

was like, Hey, please work for us.

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Jordan Temple: Yeah,

that's exactly how it felt.

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I mean, it was just like you

said, almost a reversal of roles.

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Avery Smith: How did that feel?

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Like, was that a way better process

than what you did previously?

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Jordan Temple: Yeah, I mean, it

definitely it was different, but I mean,

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in a good way, you know, it definitely

felt much better than me going to

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these different companies websites and

having to register for their applicant

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tracking systems and, you know, mass

applying for jobs, you know, it was

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it was pretty effortless on my end.

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They reached out, like I said,

via LinkedIn, asked for my resume.

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And if I was interested in having a

conversation and that was really all

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of the paperwork that I had to do.

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Avery Smith: Yeah.

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And I know we'll talk about your

interviews here in a second.

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You had a few interviews after that,

but you said they weren't too bad.

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And I just want to emphasize to everyone,

you guys can be the same as Jordan.

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It really comes down to having

a good LinkedIn profile and a

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good resume to rank really well.

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And these recruiter algorithms

that are going on on LinkedIn.

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And then one really thing, really

neat thing about this whole process as

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well is if you're open to potentially

working in person or hybrid work, the

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pool of candidates is a lot smaller.

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And so you have a chance to be,

I guess, the same size fish in a

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different pond, a smaller pond.

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And so that worked well for Jordan

because Jordan works hybrid.

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And you might be thinking,

Oh, I want to work remote.

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Well, Jordan right now, originally

it was one day at home, right?

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Jordan.

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Jordan Temple: Yeah, originally

it was only one day remote.

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That's how it started.

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Avery Smith: But now,

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Jordan Temple: Yeah, now I work

remote two days a week Monday and

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Friday, so I only go into the office

during the middle of the week,

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Tuesday, Wednesday, and Thursday.

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Avery Smith: so basically if you reframe

the word hybrid as I got to work remotely

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40 percent of the time or 40 percent

remote Or I had one thing that Jordan

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mentioned when we were talking earlier.

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I mean, Jordan, you're working on Monday

and Friday, but it's almost as if you

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have an extended weekend in those cases,

of course, you're still working, we're

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not dogging it at work, but like, if

you want to go somewhere, for example,

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maybe, you want to go, I don't know,

visit some family member in, you know,

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one state over or go to some event.

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So maybe like an NFL football

game or an MLB baseball game.

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You could leave Thursday

night after work, right?

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Work remotely on Friday and then you

have the rest of the weekend where

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you're already in your location.

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You know, maybe you, leave Monday

night and you get back to work on

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Tuesday or something like that.

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Like it just really opens up a

lot of flexibility in my mind.

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Jordan Temple: Yeah, it definitely

does, and that's one of my

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favorite things about the role.

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Avery Smith: Yeah.

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That's, awesome.

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So I think those are the things,

I mean, you obviously had the

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great construction experience.

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You had the data projects

displayed on your LinkedIn

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and displayed on your resume.

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Like you are a qualified candidate,

but you're also, we're prepping

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your prime in the pump, the LinkedIn

algorithm to make sure that like,

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okay, my profile is optimized.

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I'm putting stuff out there.

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And opening up chances, did,

did the recruiting company

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ever say how they found you?

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Or is it just like, they just found

you via LinkedIn, open to work.

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Jordan Temple: hmm.

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They didn't really go into specifics,

but with the company being located

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in the city that I work in, they,

just relocated from Chicago to

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North Texas, and we're looking to...

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I guess backfill some roles of people

that they had let go that didn't

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want to relocate and , that's kind

of how they stumbled across my name.

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Avery Smith: Perfect.

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That's such a cool story.

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Yeah.

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I'm sure that was the LinkedIn algorithm.

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So all that work you're putting

in ended up being worth it.

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so you have this recruiter who

DMs you, you talk to the recruiter

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:

on the phone for like 45 minutes.

365

:

They're talking about, I guess, experience

mostly, like what type of experience you

366

:

have in construction, what experience you

have in data analytics, is that right?

367

:

Jordan Temple: Yeah, pretty much.

368

:

They just, you know, wanted me to go

through my education background, my

369

:

construction experience kind of discuss

my my portfolio projects that I had

370

:

done, tools that I had worked with, and

what I was looking for in my next role.

371

:

Avery Smith: So they

had seen your portfolio.

372

:

Jordan Temple: Yeah, they saw it

and they were, I mean, they thought

373

:

that it looked really nice, had a

had a good mix of projects using

374

:

different, you know, analytic tools,

Excel, SQL, Tableau, I think I had

375

:

some Power BI in there, or Python.

376

:

So, I mean, it was well rounded.

377

:

Avery Smith: So yeah, they were

more asking about like the, whole

378

:

portfolio or did they like dive into

one specific project, one or two

379

:

Jordan Temple: I don't think they

looked at all of the specific projects.

380

:

They looked at the Power BI one that

I had on there and they looked at

381

:

The projects that I used dealing

with Excel because the role is,

382

:

you know, Power BI and Excel heavy.

383

:

Avery Smith: Yeah.

384

:

Yeah.

385

:

That makes sense because they

were hiring for someone who, who

386

:

needed Excel and Power BI skills.

387

:

So yeah, that's, I mean, that's one of

the reasons why we do at least one project

388

:

with each one of the technical skills that

a data analyst should know is so you at

389

:

least have one project for every skill,

no matter, what they're asking for,

390

:

you at least have something, hopefully.

391

:

So.

392

:

Okay.

393

:

That's awesome.

394

:

And then they submit your

information to the company.

395

:

The company responds back within like an

hour that they're interested in with you.

396

:

And then do you have

interviews from there?

397

:

Jordan Temple: Yeah.

398

:

I had an interview the next day with

the gentleman who's my now boss.

399

:

It was only supposed to be about a 30

minute interview, but it turned into

400

:

a 55 minute or an hour discussion.

401

:

We hit it off great.

402

:

I mean, it went really well.

403

:

So after I finished that interview,

I reached out to the recruiter,

404

:

told them how it went on my

end after I spoke with them.

405

:

I guess they got with the guy that

I interviewed with and just kind of

406

:

debriefed and called me right back and

they were like, yeah, I mean, they loved

407

:

you, you know, they want to have you do

another interview, but with one of someone

408

:

who would be one of your teammates.

409

:

I was like, okay, well,

yeah, that sounds great.

410

:

They wanted me to do the interview

the following week, but I was going

411

:

out of town on a family vacation.

412

:

So I told them that.

413

:

they gave the company a heads up

and the the company was more than

414

:

willing to, you know, wait for

me to get back from vacation to

415

:

continue the interview process.

416

:

So that felt really nice.

417

:

Avery Smith: Yeah.

418

:

That's, awesome.

419

:

And do you remember what they

asked you in those interviews?

420

:

What, were those

interviews focused around?

421

:

Jordan Temple: So the first interview was

really just getting to know me just as a

422

:

person just asking about my background.

423

:

I'm from Louisiana.

424

:

My boss is also from Louisiana.

425

:

We're from different parts of the

state, but we really just kind of

426

:

talked about that for a little while.

427

:

Just we, you know, we had that in common

and Really played into that and just

428

:

got to know each other really well.

429

:

And then was just asking mainly

about my analytics experience.

430

:

You know, he asked about my MBA

program, asked about the bootcamp,

431

:

what type of stuff we did.

432

:

And, you know, I was just

transparent about all of that.

433

:

And we had a really good conversation.

434

:

Avery Smith: Yeah.

435

:

So no, like hard questions.

436

:

You felt like, like they

437

:

Jordan Temple: No, not really.

438

:

Avery Smith: No technical questions.

439

:

It even sounds like,

440

:

Jordan Temple: no, no, I mean, I didn't

have any technical questions in any of the

441

:

interviews that I did with the company.

442

:

Avery Smith: yeah.

443

:

And I think, first off, I think

that's a factor of this company.

444

:

It sounds like, like a good company

that, you know, they want to take care

445

:

of their, people, but also I think it's

a factor of just the broad experience

446

:

you already had in construction and

also the portfolio stuff you have there.

447

:

Cause I mean, it really

depends on the company.

448

:

Like for instance, Facebook, no

matter what you really do, they're

449

:

going to give you a technical

interview, like no matter what.

450

:

Right.

451

:

So some companies have their certain

things, but really what these

452

:

companies are testing for is can

you actually do data analytics?

453

:

They're looking for some sort of proof

that you can actually do something.

454

:

And if you provide that proof

in advance, you know, a lot

455

:

of the time that's helpful.

456

:

If you say, Hey, here's my portfolio.

457

:

They're like, all right, this guy

seems like he knows what he's doing.

458

:

So like, we don't have to

stress test them too much.

459

:

Jordan Temple: Yeah, and I

think that was the case with me.

460

:

You know, I mean, they, saw

my experience on my resume.

461

:

They saw the portfolio, the few

questions that I was asked about

462

:

data analytics and things like that.

463

:

You know, I mean, I nailed those.

464

:

So I think the, biggest thing

was making sure that I was going

465

:

to be a good, I guess, cultural

fit, you know, for the company.

466

:

Am I easy to get along with, you

know, I mean, how, am I going to fit

467

:

with everyone else from a cultural

aspect, you know, because the company's

468

:

really big on culture and they've

got several different organizations

469

:

within the company and that's their

emphasis, you know, is making sure that

470

:

employees are happy and comfortable

and like coming to work every day.

471

:

So that's really big.

472

:

Avery Smith: Yeah.

473

:

Okay.

474

:

That, makes sense.

475

:

Then you got the job offer

and perks about the job offer.

476

:

what were some of the

biggest perks for you?

477

:

Like what, made you

excited about this job?

478

:

Jordan Temple: So one of the

biggest things, like I said, was

479

:

the being able to work remotely.

480

:

You know, it started out as one

day and his girl and said, you

481

:

know, working two days remote.

482

:

So that's nice.

483

:

Five weeks of PTO starting out.

484

:

That's pretty awesome.

485

:

and, you know, It's, I mean, in my

experience is unheard of the places

486

:

that I've been, you know, typically

starting out, you don't, get that much.

487

:

So that both of those were, you know,

really, really nice selling points.

488

:

Avery Smith: Yeah, that's, super nice.

489

:

So yeah, better PTO, more flexible, like

those, are awesome, perks for sure.

490

:

Jordan Temple: And I forgot about

this one proximity to my home.

491

:

It's like 12 or 13 minutes from,

where I live to my work, to my office.

492

:

So that's really nice as well.

493

:

Avery Smith: That's, so awesome.

494

:

And I know one of the things we talked

about with like the hybrid or, or remote

495

:

work Previously is like, obviously

it's great that like we talked about

496

:

like the, I don't know, maybe you

can go see an LSU baseball game on

497

:

the weekend or something like that.

498

:

Right.

499

:

When you're on your four

day ish hybrid weekend.

500

:

But like the, good news is when you're

in the office, you're in the office,

501

:

which means you can get training

from like your supervisor or, or the

502

:

person above you, you know, you get

more face to face time with bosses,

503

:

which is really good for promotions.

504

:

I know when during the pandemic and I was

working at ExxonMobil, I kind of stopped

505

:

going to the office and I think it really

hurt my progression in my career there.

506

:

So that's something I think

that's really beneficial.

507

:

And also it's just like, it

scratches your social itch, right?

508

:

Like you get to get out of the house.

509

:

Jordan, do you have kids?

510

:

I can't remember.

511

:

Jordan Temple: No kids.

512

:

Avery Smith: Well, I have a kid.

513

:

I know sometimes I love to

get out of the house now.

514

:

It's just like, all right,

I got to go to work.

515

:

I got to go to work.

516

:

So but like it gets you out of the

house, get you with some people, right?

517

:

Do you enjoy those things?

518

:

Jordan Temple: Oh yeah.

519

:

I mean, it's, it's really

the best of both worlds.

520

:

I mean, I enjoy it.

521

:

I mean, you know, during COVID

whenever I was working fully remote.

522

:

I mean, it was nice, don't get me

wrong, but I started to go stir

523

:

crazy being at home all the time.

524

:

So, the hybrid work

models is perfect for me.

525

:

You know, there's Monday and Friday,

whenever there's things that I

526

:

need to get done, I can do that.

527

:

I can You know, plan to do those

things at home where I'm not

528

:

going to have any distractions.

529

:

And middle of the week, whenever I'm

in the office, if there are things

530

:

that I'm working on that I have

questions on or need to collaborate

531

:

with my team on, you know, I mean,

that's what those days are for.

532

:

So, I mean, it works out perfectly for me.

533

:

Avery Smith: Yeah, that, makes sense.

534

:

Now I want to ask you a question.

535

:

If you can go back, I'm pulling

up your LinkedIn profile here.

536

:

If you can go back and you can go

talk to Jordan, you know, Jordan, just

537

:

after he finished his MBA you know,

trying to hope to land an analyst job.

538

:

What would be some things you'd give him?

539

:

What would be some advice

you'd tell him to do?

540

:

Jordan Temple: Try to find a program

similar to the one that I did and

541

:

work on applying the concepts that I

learned in my MBA program, you know,

542

:

put together a portfolio, you know, use

Excel at an advanced level SQL, some

543

:

sort of data visualization tool, be it

Tableau or Power BI, get more familiar

544

:

with those and how to apply those.

545

:

Don't just understand how they work,

but apply those tools and be able

546

:

to I guess be able to back that up.

547

:

Avery Smith: I love it.

548

:

So basically do projects

and build a portfolio.

549

:

Jordan Temple: Yeah.

550

:

I mean that's really what it is.

551

:

I mean, , that's what it's all about.

552

:

I mean, you need to be able to provide

proof that you understand how to use these

553

:

tools and be able to show that you can,

and that I feel like that's the best way.

554

:

If you don't have like a work portfolio,

you know, you can have something

555

:

like this where you've got projects

that you've done on your own time.

556

:

Avery Smith: Yeah I

give this analogy a lot.

557

:

So sorry, Jordan, if you've heard it or

if someone else on the call has heard it,

558

:

but it's like, if I think the Fast and

the Furious 10 movies literally coming out

559

:

sooner rather than later, although with

the strikes now, you never know, like all

560

:

these movie dates have been pushed back.

561

:

But regardless, like if you're

hiring, if you're hiring a stunt For

562

:

the fast and the furious 10 movie,

which is an action movie with cars.

563

:

I've never seen any of

the fast and furious.

564

:

I've actually never seen

any of the fast and furious.

565

:

But like, if you're hiring a stunt

double that has to jump over a car, who

566

:

are you going to hire the person that

sends in a resume and says, yep, I can

567

:

jump over a car or the person B that

like sends in a resume that says, yeah,

568

:

I could jump over a car and then like

sends in some sort of like, maybe some

569

:

sort of video of them jumping over a car

in a movie or jumping over the car on

570

:

their own time or something like that.

571

:

It's like, you're going to go with person

B because hiring, this is something

572

:

that you and I, you know, people who

are employed don't think about a lot.

573

:

But like hiring is expensive.

574

:

Hiring is terribly expensive because

it takes a lot of the people's times.

575

:

One.

576

:

Usually you have to promote it on some

job platform, or in this case, for

577

:

instance, they're using a third party

recruiter that costs money, right?

578

:

That costs, you know,

thousands of dollars.

579

:

And then you have to like pay, have

people fly out and interview for the job.

580

:

There's all the time that you're

spent doing the interviews.

581

:

And then more importantly,

It's like the training that's

582

:

going into this new person.

583

:

You just don't want to hire a dud and

then train them three months later.

584

:

Oh crap.

585

:

This person's a dud, you know, have

to let them go or, something, or

586

:

like they make some terrible mistake.

587

:

Like hiring is really expensive for

these companies and they want to make

588

:

sure that they're doing a good job,

you know, and so they want low risk and

589

:

the, the less risk you can make yourself

appear, you don't even, it doesn't

590

:

even have to be that you're less risky.

591

:

It's the fact that you have to

make yourself look less risky.

592

:

Like that can make all the

difference in the world.

593

:

Jordan Temple: agree.

594

:

I agree totally.

595

:

Avery Smith: And I'm glad that you ended

up, you know, talking to these recruiters

596

:

and being like, even though you didn't

feel like you were a fit, I'm super

597

:

glad that you ended up, you know, going

through with it because hopefully for

598

:

people listening, that's a source of

inspiration that like, yeah, I might not

599

:

feel like I'm a good fit for this role.

600

:

So I'm not going to apply.

601

:

They don't apply, but there's a chance

they could have landed that role.

602

:

Jordan Temple: Yeah, I mean, absolutely.

603

:

I mean, If someone reaches out to you and

they feel like you're a good fit for a

604

:

role, you know, don't sell yourself short.

605

:

I mean, there's a reason

that they reached out to you.

606

:

I mean, they obviously think

that you would be a good fit.

607

:

Otherwise, they wouldn't have sent

you a message, DM'd you, and you

608

:

know, kept you in mind for the role.

609

:

Avery Smith: Yeah.

610

:

And, and even this is an example one

time Facebook messaged me, actually they

611

:

sent me an email and out of nowhere, like

a cold email, like, Hey, we'd like, we

612

:

think you'd be a great fit for this job.

613

:

And I looked at the job description and

I was not a good fit for the job at all.

614

:

Not a good fit.

615

:

And I was like, all right, sounds good.

616

:

Let's do an interview.

617

:

Right.

618

:

Let's go.

619

:

It was like a pretty high

level job, to be honest.

620

:

I was like, I don't think I'm a good fit.

621

:

So I get on the call with this,

like, honestly, it was like this

622

:

director of like this team and she

was really nice and we're talking and

623

:

I kind of explain everything and, and

she's like, yeah, you're not really

624

:

that good of a fit for this role.

625

:

And I was like, yeah, I totally agree.

626

:

I'm not.

627

:

And she's like, but I think

you'd be a good fit for Facebook.

628

:

So let me like, let me refer you to

someone else inside of our company.

629

:

You know, and so like, I could have just

said, no, I'm, I'm not a good fit for this

630

:

role, or I think you got the wrong guy,

but even going into that interview and to

631

:

be honest, kind of bombing the interview,

because like, I just did not, I just

632

:

did not have any experience with what,

it wasn't even really like a data role.

633

:

It was like a more data engineering role.

634

:

And at the time I was far less

experienced data engineer than I am now.

635

:

Although I'm still not that great of

a data engineer, but like, I just was

636

:

not a good fit for the role, but that

gave me an opportunity to interview

637

:

somewhere else inside the company.

638

:

Right.

639

:

And so it's just like, I put this

post out on LinkedIn the other

640

:

day, but the hiring manager who

rejects you the most is yourself.

641

:

And that's, hard to take in sometimes.

642

:

Jordan Temple: Yeah, I mean, it really is.

643

:

I mean, and that's obviously what

I was doing whenever they first

644

:

reached out about this role.

645

:

I mean, I was disqualifying myself from it

without knowing anything about it, really.

646

:

Avery Smith: Yep.

647

:

So guys be like Jordan, get over

that fear, you know, go from the cost

648

:

estimator to the senior financial

analyst, have a strong LinkedIn profile,

649

:

have a strong portfolio and with

time, some stuff's going to happen.

650

:

I have faith in that.

651

:

Jordan, anything else to add?

652

:

Jordan Temple: Yeah, I mean, if you're in

Avery's program, I mean, listen to him.

653

:

Just skills, networking, portfolio.

654

:

I mean, focus on those three

things and, you know, you'll

655

:

get to where you want to go.

656

:

Avery Smith: Appreciate you, Jordan.

657

:

Thank you so much for

coming on the podcast.

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