It's me Aaron Burriss,
And welcome to Job Hoppers.
Woo!
I love you!
I cramped a little bit, but I'm good.
Today we're in Charlotte, North Carolina, meeting Karrim.
He's a business analyst for Spectrum Enterprise,
which means he's all about the data analytics, which is great
because honestly, I don't know that much about data analytics at all.
There is no doorbell.
Karrim!
It's me! Aaron, from Job Hoppers!
Karrim! - Yo, Aaron, hop in. We're late.
Oh, sorry, sorry, sorry, sorry, sorry, sorry, sorry.
I thought you were up there.
Sorry!
Let’s go, man!
- Hey, how's it going?
Nice to meet you. - Nice to meet you, too.
[MUSIC] Job, Job Hoppers!
All right, so we're on the way to work.
Tell me about yourself first.
I'm a business analyst for Spectrum Enterprise.
I help take all that confusing big data
and just kind of transform it
into actionable insights.
Oh, that's really cool.
So I didn't mean to, like, look in your car or anything,
but I did see a basketball in the backseat.
Is that is just for, like, decor?
No, no. I actually play.
I try to play at least once a week.
Oh, sorry.
Okay.
All right.
Wait, is this it?
No. It's coming up right there. - I'm just going to be honest.
I thought one of those, like, small office buildings.
Wait, your buildings over there.
Hey, are you sure we just can't, like, call for a car?
No, no.
We're almost there.
It's huge. Sometimes I forget how big it is.
Finally here.
[AARON PANTS]
We're here!
Oh, A/C! [KARRIM LAUGHS]
I'm in the corner right there.
- You have the corner office?
Next to the window.
So this is my desk. - Woah!
Ah, you do play basketball.
Just line it up.
Ah, dang. That was close. - Airball!
So, data.
Yeah.
What is data, and why do people need it?
Data is literally anything.
Names, numbers, people?
The number of pens is data.
The number of yellow pins is data as well.
That's great, because I'm a visual learner.
- Yeah, Yeah. - And I get it.
Woah! Okay, hold on. What?
Wait, what is SUS?
- Stand Up Straight.
So I don't want to get into the habit
of slouching over anything. - That’s a good call.
I need to be more SUS.
So day to day, I'll have a lot of time where I'm just working alone.
But there'll be times where I need to collaborate with my colleagues.
They'll provide me with, like, an inquiry of different things
that they're looking for in the data that they need.
And, I'll go ahead and create a query based on their needs.
So, what is query language?
Well, this whole thing is called the query.
Is that code?
- Yeah. - Okay, So I know code.
Okay, so what happens after you come up with your query?
Yeah, I'm using the terminology.
So after that, I'll put it in a report and create different bar graphs,
Woah!
different charts. That just makes the data a lot easier to understand
when you can visually see what's going on.
How many programs do you use?
-Tableau,
Python,
SQL,
I’d say, like, five or six.
So if anything can be data,
can food be data?
It actually can, yeah.
- Can we get some data?
[KARRIM LAUGHS]
You get what I did there? - Yeah, yeah.
And we turn!
My calfs burning, but it's great.
Oh, data is good.
Yeah. It's salty, though.
Mm-hmm.
So, your Google Career Certificate.
Can you tell me more about that?
Yeah, yeah.
So, it really helped me launch my career.
And that's like a big part of the reason why I'm here now.
How long did it take you to complete it?
It took me about three months, actually.
What?!
[DUCKS QUACKING]
So after I completed the certificate,
within a month, I was able to get my first job.
Before, when I was taking the certificate,
I was living at home, didn't really know what I was going to do.
Oh!
And then, once I finished the certificate,
I ended up getting a job, get my own place.
Y’know, now I have a clear vision
of what I want to do in the future,
in the next five years. I feel like my life changed, pretty much.
[AIRPLANE SFX]
How did you get a job after getting a certificate?
So, there's like eight courses in that certificate program.
So any time I pass the course, I would post it on my social media
and, you know,
eventually helped me to meet people and get the job that I have.
I was working. I was definitely working hard.
I just remember that time of my life, just being disciplined and focused.
And yeah, I knew that nothing can stop me.
Thank you so much for lunch. - Yeah, man.
All right, What's next?
Well, I actually like to spend the rest of my lunch break playing basketball.
So, you want to come on?
No, I'm good.
I'm good. You go. You go ball.
- You sure? - Yeah, I'm just gonna hang out.
Alright, man.
I'll see you after, okay? - Yeah, yeah.
We'll go work.
Little does he know,
I’ll be there!
So what Karrim doesn't know,
Is that he'll be balling with data.
-Missed it.
Come on, Karrim.
I know you got this.
That’s an airball.
Another one!
Hey, Karrim?
I know you're busy, but,
you probably didn't notice this,
but I was watching you the entire time we were playing basketball.
Yeah, I saw you.
No, you didn't.
Yeah, yeah, you had that bush in your hand.
You know what? Agree to disagree. It's fine.
The point is, is I thought this would be a good chance
for me to work on on my data collecting skills
and a chance to help you with your ball game.
- Okay. Can you just tell me how many I made in each fall?
- Okay. Got it. Yeah.
- Left wing?
Okay. Left wing, you made four.
Right wing, you made a gentlemen's three.
- That's pretty bad.
Left corner, you made five.
Right corner, you made seven.
And I think your best spot is top of the key.
You made eight out of ten. That was pretty good.
- That's pretty good. - You were sinking ‘em!
So, this is what I was showing Karrim earlier.
This is all my data, all the little quadrants.
And these are all the shots he made
Out of his total of fifty, he made twenty-seven.
Okay, so we need to calculate the percentages.
- Yeah.
Here equals that, divided by that, boom!
You did that a lot faster than I expected you to.
I'll put it on the presentation and make a nice little data visualization for you.
- Okay, let’s do it!
Lights!
Wait, you got all this from what I wrote down?
Yeah.
It's beautiful. [KARRIM LAUGHS]
- You did this so fast! - It’s all from your data.
When I shot at the top of the key,
I shot 80%. - Yeah.
- So that's my hottest spot,
and that's why it's red.
The two wings on the side,
those are my worst spots.
Okay, so I get a better idea of what's going on.
And you understand that you need to work on your wing shots, right?
- Yeah, yeah. - Alright.
So, what kind of advice would you give anyone interested in joining your field?
Just go for it,
If it's something that you really want to do.
All the resources are out there for you.
So, I'm an example of not knowing anything,
and actually getting started in a career,
and gradually improving.
So.. - Well, Karrim, seriously,
Thank you so much. Lunch was great. - Yeah, yeah.
Thank you for having me.
- Yeah.
And whenever you see a bush, think of me.
At first, I thought data analysts would just like sit around
with their calculators, spreadsheets, and crunch numbers.
But I was wrong.
Like, it’s so much more than that.
And to see experts like Karrim do what they do,
get things done, it's really cool.
So that's it for today.
Let's hop to the next job.
Hey!
Can, can you turn back on the lights?
- You want the lights back on?
- Yes, please.