December 28, 2024 β’ 13 mins
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β TIMESTAMPS
ο»Ώ00:18 The SPN Method
00:42 Understanding the Importance of Skills
02:46 The Role of Projects in Landing a Data Job
08:20 Networking: The Key to Success
11:11 Final Thoughts and Resources
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Avery (00:00):
On YouTube, there's lots of data advice given to you every
single day by lots of great creators.
And I don't know about you, but mepersonally, I watch a lot of videos, but
I'm not actually sure that I take a lotfrom them that I can concretely follow.
The general ideas are great, but I findit really hard to take the knowledge
they're giving me and apply it.
So that's why I created somethingthat's actually concrete that will
(00:21):
help you land your first day at job.
It's a framework that you can followand it's really easy to remember
because it's just three simple letters.
SPN.
The SPN method is the fastest and thesimplest way to land your first data job.
And if you follow it,success is likely to ensue.
It's how I got a data job.
It's how hundreds of my studentshave gotten data jobs, and
honestly, I hope it's the waythat you get a data job as well.
(00:42):
What is the SPN method?
It's really a simple philosophy,and it's the idea that.
But skills alone is notgoing to land you a data job.
Your technical analysis, yourdata skills, your technical
tools, those are the bare minimum.
Those are the checkboxes thatyou have to be able to check to
even be qualified to land a job.
But it's never whatactually lands you the job.
It's not what sets you apart.
The truth is there's probably someonewho's less skilled in SQL, who can't
(01:05):
make as good of a data visualization,who maybe can't even program.
They're less of a technicalcandidate than you are, but they're
landing a data job over you becausethey're following the SPN method.
We live in a world where for betteror worse, it's not necessarily
how skilled or how technicalyou are that gets you the job.
If you're the best sequel programmerin the entire world, it's not like
you're going to get paid the most.
(01:25):
You might, but you probably won't.
There's probably people whoare less good at sequel who are
actually making more money than you.
So basically that's to say thatyour salary and your skills
are not directly correlated.
Is there some correlation?
Sure, but it's probably somethingcloser to like 5 than a 1.
0 correlation.
So what does matter when you'regetting hired and how fast you
(01:45):
get hired and how much you getpaid if it's not just your skills?
Well, it's how you are appearingand it's how your personal
brand is being presented.
If you're trying to land a data job,you have to convince a hiring manager
or recruiter that you're not high risk.
That you can actually doall the things that they're
requiring in the job description.
And these hiring managersand the recruiters, they're
busy to be perfectly honest.
(02:06):
They have a lot going on andthey have families like you.
They have hobbies like you.
They're really busy at work.
And so your job as a job candidate isto make their life as easy as possible.
And you'll do that byfollowing the SPN method.
So what does the SPN stand for?
S stands for skills.
Of course you have to have the skills.
But you also need the P and the N.
The P stands for projects, or a portfolio,and the N stands for networking.
(02:26):
You'll need all three to land a data job.
My guess is you understandwhy skills are important.
To be honest, most people do.
In fact, most people over index on skills.
They think skills are superimportant, the most important thing.
But in the job landing formula, skillsare only 33 percent of the actual formula.
The remaining 66 percent are goingto be your projects and your network.
(02:46):
Projects are important because they arevery easy ways, tangible evidence to
show to hiring managers and recruitersthat you are valuable, that you can
actually bring value to a business.
Like I said, hiring managers andrecruiters, they're busy and they're
going to read through resumes.
After the ATS screens through abunch of them, but once they actually
get to the actual resumes, they'regoing to be like, okay, who can
do what this job description says?
(03:08):
Who can I trust?
And if you don't have much of a databackground, if you don't have much of
like a STEM background or didn't go toschool for data or something like that,
what evidence can you provide to themthat, yeah, I can be a great data analyst.
If it's just listing your skillson a project in like a list,
Python, Excel, Tableau, PowerBI, that's not very convincing.
You're going to have a hard timeconvincing hiring managers and
(03:28):
recruiters that you are worth hiring.
But if you have tangible evidence via aproject and you can say, Hey, look, I know
you're looking for someone with Tableauexperience who can analyze marketing data.
Here is a project I did in Tableauwhere I analyzed marketing data
to find the top customers andtop campaigns for the latest.
You know, marketing campaigns that ourcompany did that is really powerful.
(03:48):
And I said our marketing company,but I really just meant any marketing
data you can get your hands on.
If you can create these projects fromscratch and almost replicate as if
you are working for the companies thatyou want to work for, that is like the
most powerful thing for hiring managersand recruiters to see because all
of a sudden it's so tangible and so.
Oh my gosh, I actually understandwhat Avery can do as a data analyst.
(04:09):
Here's how he took this raw dataand transformed it into this amazing
report with really great insights.
I would love for him todo that at our company.
Avery, you're hired.
And that's the power of projects.
Maybe a way that you can thinkabout this is let's say you're a
hiring manager for the Fast andthe Furious, the action car movie.
(04:30):
That's coming out soon.
And for this particular role, you'relooking for a stunt double, someone
that can do stunts really well.
In fact, in this case, they haveto be able to jump over a car.
Let's say you post the job on theinternet and you get two applicants.
Applicant A has a resume and on theresume says, Yes, I can jump over a car.
And applicant B also has a resumethat says, I can jump over a car.
But in addition to that, sends ina video of them jumping over a car.
(04:53):
Who are you more likely tohire, person A or person B?
It's the person that'sin the video, right?
And why is that?
It's because they providedtangible evidence.
They made it themselves less of arisk for you and then made it really
clear, oh yes, I totally see how thisperson can be of use in this role.
Well, it's the same wayas data analyst jobs.
You want to make it as easy for thehiring manager to make their decisions.
Most people over index on howimportant skills are, and they
(05:15):
obviously are important, but they'reonly one third of the equation.
I think a lot of people Enjoy learningand so they really spend a lot of time
actually doing the learning But you haveto remember your purpose in watching this
video in your self studying and in yourupskilling is really to land a job It's
not to just learn right when I was anundergrad in college I studied chemical
(05:35):
engineering And there was a week wherewe had like a career week where we had
the career fair and we had all theserecruiters Coming and all this stuff
and it was also During midterms as well.
So we had all these tests that wewere supposed to be studying for
and taking and acing, and we weresupposed to be doing all this job
fair application stuff as well.
I remember seeing one of myfellow students and she was
studying a whole heck of a lot.
(05:55):
And to be honest, I really wasn't.
She was really focused on learningand actually getting the fundamentals
so that she could ace this test.
Instead of studying, I wasspending my time talking to
recruiters, hiring managers, goingto the career fair, trying to.
Get hired.
And the midterm for a really hardclass came up that week and she got
an A on the test and I got an F.
(06:15):
Literally 46%.
I failed and she aced it.
But by the end of that semester,she had no prospects for a job
and I had a six figure offer.
It's really important to makesure that you're studying.
Not to ace the test, not forstudying's sake, but you're
actually studying to land a job.
You have to remember that's the focus.
And so you shouldn't spend allyour time on studying and learning
the skills, because that'sonly one third of the equation.
(06:37):
So if you find yourself taking minicourse after mini course on Excel or
Tableau or Excel, and you're not gettingany sort of job bites, The answer is
because you're not really working onlanding a job, you're working on upskill.
And those two things are related,but they're not directly correlated.
Another note is when you're tryingto land your first day at a job,
you have to realize that there'sover 2, 000 different data skills
(06:57):
you possibly could be learning, andyou're never going to learn them all.
Just like, forget about it.
No one's ever going to learn all of those.
And so instead of just trying to upskillfrom one skill to another skill to
another skill to another skill to anotherskill It's important to reflect and be
like, what skills do I actually need?
And if you're trying to land yourfirst data job, trust me, Excel,
Tableau, SQL, those are the onlythree you really need to use.
That means for going Python,which is probably touted
(07:19):
as the data skill to learn.
And it's a lot of fun andit's used quite often.
But the truth is, is it's used inunder 30 percent of data analyst jobs.
And it's really hard to learn.
So it's going to takeyou a long time to learn.
And it's not used all that much.
So.
Honestly, it's probably notworth focusing on right now.
In today's economy, there's just way toomany job applicants for all these jobs.
And you really have to thinkabout how you stand out.
(07:40):
95 percent of candidateswon't have a portfolio.
So you can be a top 5 percentcandidate by simply having a portfolio.
It's like these fishright here on the screen.
Which one of these fish out of420 really stands out to you?
It's the pink one, right?
Because it looks differentthan the gray fish.
That's what having aportfolio can do for you.
And that's actually whathappens with my students.
This is a direct message from oneof my students, who landed a data
(08:03):
analyst job without a degree.
Not even any sort ofbachelor's degree at all.
This is what he said.
Thank you, I am legitimatelydoubling my current salary.
It's amazing what doing some projectsand having a portfolio can do for you.
And this quickly too.
Projects are the cheat code, you guys.
It's what makes you stand out.
And it's tangible evidence tohiring managers and recruiters
that they should hire you.
Now, that was the Ppart of the SBN method.
(08:24):
Let's talk about the N.
The networking.
And in this crazy economy with inflation,how it is, and the amount of job
applicants where it's at, you reallyhave to know someone to land a job.
Once again, it's all about trust, right?
These hiring managers andrecruiters, they're taking a
risk when they're hiring you.
Are you actually smart enough?
Are you actually going to work hard?
Are you actually like an honest, goodperson that's going to help the company?
(08:45):
Are you a team player?
It's all about if you can create enoughtrust for that person to be like, yes,
I believe that Avery is going to bea good addition to our team and help.
I trust in him and I'm going to hire him.
Well, who do you trust?
It's honestly the people you know.
And so your network is huge whenyou're getting hired because
that's just your circle of trust.
Those are the people who trustyou and they're more likely
to hire you than anyone else.
(09:06):
But you're probably thinking, oh crap.
Well, I don't really knowanyone, so I'm screwed, right?
And the answer is No, you'renot screwed because there's two
things that you could do today.
Number one, you can realize you probablyknow more people than you realize.
And number two, you canget to know more people.
My first tip is just to literallygo through your phone and look at
where data analysts might work.
(09:26):
Go through every single contact andjust write down where that person works.
Ask yourself, does thatcompany hire data analysts?
Yes or no.
If yes, shoot that person a textand say, Hey, do you know any of
the data analysts at your company?
Just start the conversation.
You're not asking for a million dollars.
You're not asking for a referral yet.
You're just starting a conversation.
That conversation could leadsomewhere quite fruitful down the
road, but it doesn't have to yet.
(09:47):
You're just making a connection.
Number two, you can meet new people.
One of the easiest ways to dothat is via LinkedIn by creating
content and commenting on LinkedIn.
It's something that I teach andask my students to do inside of
the Data Analytics Accelerator.
It's scary for sure, butit leads to great results.
Another thing that you can do tostand out is send hiring managers
and recruiters cold messages.
These are messages that just explain whoyou are and why you might be a good fit
(10:09):
for the role that they're posting about.
95 percent of job seekers don'tsend these, so just you doing
so puts you in the top 5%.
Another thing that's easier saidthan done is to really optimize
your resume and your LinkedIn.
If you're applying for jobs and you'renot getting any bites, you're It honestly
probably could be because your LinkedInand your resume aren't optimized.
These are the two tools that the ATS,the applicant tracking system, look at
(10:31):
to see if you're a good candidate or not.
If you haven't set it up correctly,you're not getting past them.
You're not even getting a chanceto get rejected by a human.
You're just getting auto rejected by thecomputer, which is super frustrating,
but there's some simple things thatyou can do to optimize both of those.
That's also part of the end.
All this is to say, if you're strugglingto land the data job, It's likely
because you're really fixated on the S.
(10:52):
But just remember that's onlyone third of the equation.
You have to have projects,you have to have a portfolio,
and you have to be networking.
If you ignore the other twofactors, the P and the N, you're
going to have frustration.
You're going to feel like you'restuck in tutorial hell, or you
feel like you're making progressbecause you're learning new things.
But, you have to remember thatlearning doesn't equal earning.
The combination of the learningwith the portfolios and the
(11:13):
networking, that equals earning.
If you want to learn more about how youcan follow the SPN method, I send out a
free weekly newsletter explaining how youcan follow the SPN method step by step.
So go check out the shownotes and sign up for that.
I wish you the best on your data journey.
And if you need another episode,I suggest this one here or it's
in the show notes down below.
On YouTube, there's lots of data advice given to you every
single day by lots of great creators.
And I don't know about you, but mepersonally, I watch a lot of videos, but
I'm not actually sure that I take a lotfrom them that I can concretely follow.
The general ideas are great, but I findit really hard to take the knowledge
they're giving me and apply it.
So that's why I created somethingthat's actually concrete that will
(00:21):
help you land your first day at job.
It's a framework that you can followand it's really easy to remember
because it's just three simple letters.
SPN.
The SPN method is the fastest and thesimplest way to land your first data job.
And if you follow it,success is likely to ensue.
It's how I got a data job.
It's how hundreds of my studentshave gotten data jobs, and
honestly, I hope it's the waythat you get a data job as well.
(00:42):
What is the SPN method?
It's really a simple philosophy,and it's the idea that.
But skills alone is notgoing to land you a data job.
Your technical analysis, yourdata skills, your technical
tools, those are the bare minimum.
Those are the checkboxes thatyou have to be able to check to
even be qualified to land a job.
But it's never whatactually lands you the job.
It's not what sets you apart.
The truth is there's probably someonewho's less skilled in SQL, who can't
(01:05):
make as good of a data visualization,who maybe can't even program.
They're less of a technicalcandidate than you are, but they're
landing a data job over you becausethey're following the SPN method.
We live in a world where for betteror worse, it's not necessarily
how skilled or how technicalyou are that gets you the job.
If you're the best sequel programmerin the entire world, it's not like
you're going to get paid the most.
(01:25):
You might, but you probably won't.
There's probably people whoare less good at sequel who are
actually making more money than you.
So basically that's to say thatyour salary and your skills
are not directly correlated.
Is there some correlation?
Sure, but it's probably somethingcloser to like 5 than a 1.
0 correlation.
So what does matter when you'regetting hired and how fast you
(01:45):
get hired and how much you getpaid if it's not just your skills?
Well, it's how you are appearingand it's how your personal
brand is being presented.
If you're trying to land a data job,you have to convince a hiring manager
or recruiter that you're not high risk.
That you can actually doall the things that they're
requiring in the job description.
And these hiring managersand the recruiters, they're
busy to be perfectly honest.
(02:06):
They have a lot going on andthey have families like you.
They have hobbies like you.
They're really busy at work.
And so your job as a job candidate isto make their life as easy as possible.
And you'll do that byfollowing the SPN method.
So what does the SPN stand for?
S stands for skills.
Of course you have to have the skills.
But you also need the P and the N.
The P stands for projects, or a portfolio,and the N stands for networking.
(02:26):
You'll need all three to land a data job.
My guess is you understandwhy skills are important.
To be honest, most people do.
In fact, most people over index on skills.
They think skills are superimportant, the most important thing.
But in the job landing formula, skillsare only 33 percent of the actual formula.
The remaining 66 percent are goingto be your projects and your network.
(02:46):
Projects are important because they arevery easy ways, tangible evidence to
show to hiring managers and recruitersthat you are valuable, that you can
actually bring value to a business.
Like I said, hiring managers andrecruiters, they're busy and they're
going to read through resumes.
After the ATS screens through abunch of them, but once they actually
get to the actual resumes, they'regoing to be like, okay, who can
do what this job description says?
(03:08):
Who can I trust?
And if you don't have much of a databackground, if you don't have much of
like a STEM background or didn't go toschool for data or something like that,
what evidence can you provide to themthat, yeah, I can be a great data analyst.
If it's just listing your skillson a project in like a list,
Python, Excel, Tableau, PowerBI, that's not very convincing.
You're going to have a hard timeconvincing hiring managers and
(03:28):
recruiters that you are worth hiring.
But if you have tangible evidence via aproject and you can say, Hey, look, I know
you're looking for someone with Tableauexperience who can analyze marketing data.
Here is a project I did in Tableauwhere I analyzed marketing data
to find the top customers andtop campaigns for the latest.
You know, marketing campaigns that ourcompany did that is really powerful.
(03:48):
And I said our marketing company,but I really just meant any marketing
data you can get your hands on.
If you can create these projects fromscratch and almost replicate as if
you are working for the companies thatyou want to work for, that is like the
most powerful thing for hiring managersand recruiters to see because all
of a sudden it's so tangible and so.
Oh my gosh, I actually understandwhat Avery can do as a data analyst.
(04:09):
Here's how he took this raw dataand transformed it into this amazing
report with really great insights.
I would love for him todo that at our company.
Avery, you're hired.
And that's the power of projects.
Maybe a way that you can thinkabout this is let's say you're a
hiring manager for the Fast andthe Furious, the action car movie.
(04:30):
That's coming out soon.
And for this particular role, you'relooking for a stunt double, someone
that can do stunts really well.
In fact, in this case, they haveto be able to jump over a car.
Let's say you post the job on theinternet and you get two applicants.
Applicant A has a resume and on theresume says, Yes, I can jump over a car.
And applicant B also has a resumethat says, I can jump over a car.
But in addition to that, sends ina video of them jumping over a car.
(04:53):
Who are you more likely tohire, person A or person B?
It's the person that'sin the video, right?
And why is that?
It's because they providedtangible evidence.
They made it themselves less of arisk for you and then made it really
clear, oh yes, I totally see how thisperson can be of use in this role.
Well, it's the same wayas data analyst jobs.
You want to make it as easy for thehiring manager to make their decisions.
Most people over index on howimportant skills are, and they
(05:15):
obviously are important, but they'reonly one third of the equation.
I think a lot of people Enjoy learningand so they really spend a lot of time
actually doing the learning But you haveto remember your purpose in watching this
video in your self studying and in yourupskilling is really to land a job It's
not to just learn right when I was anundergrad in college I studied chemical
(05:35):
engineering And there was a week wherewe had like a career week where we had
the career fair and we had all theserecruiters Coming and all this stuff
and it was also During midterms as well.
So we had all these tests that wewere supposed to be studying for
and taking and acing, and we weresupposed to be doing all this job
fair application stuff as well.
I remember seeing one of myfellow students and she was
studying a whole heck of a lot.
(05:55):
And to be honest, I really wasn't.
She was really focused on learningand actually getting the fundamentals
so that she could ace this test.
Instead of studying, I wasspending my time talking to
recruiters, hiring managers, goingto the career fair, trying to.
Get hired.
And the midterm for a really hardclass came up that week and she got
an A on the test and I got an F.
(06:15):
Literally 46%.
I failed and she aced it.
But by the end of that semester,she had no prospects for a job
and I had a six figure offer.
It's really important to makesure that you're studying.
Not to ace the test, not forstudying's sake, but you're
actually studying to land a job.
You have to remember that's the focus.
And so you shouldn't spend allyour time on studying and learning
the skills, because that'sonly one third of the equation.
(06:37):
So if you find yourself taking minicourse after mini course on Excel or
Tableau or Excel, and you're not gettingany sort of job bites, The answer is
because you're not really working onlanding a job, you're working on upskill.
And those two things are related,but they're not directly correlated.
Another note is when you're tryingto land your first day at a job,
you have to realize that there'sover 2, 000 different data skills
(06:57):
you possibly could be learning, andyou're never going to learn them all.
Just like, forget about it.
No one's ever going to learn all of those.
And so instead of just trying to upskillfrom one skill to another skill to
another skill to another skill to anotherskill It's important to reflect and be
like, what skills do I actually need?
And if you're trying to land yourfirst data job, trust me, Excel,
Tableau, SQL, those are the onlythree you really need to use.
That means for going Python,which is probably touted
(07:19):
as the data skill to learn.
And it's a lot of fun andit's used quite often.
But the truth is, is it's used inunder 30 percent of data analyst jobs.
And it's really hard to learn.
So it's going to takeyou a long time to learn.
And it's not used all that much.
So.
Honestly, it's probably notworth focusing on right now.
In today's economy, there's just way toomany job applicants for all these jobs.
And you really have to thinkabout how you stand out.
(07:40):
95 percent of candidateswon't have a portfolio.
So you can be a top 5 percentcandidate by simply having a portfolio.
It's like these fishright here on the screen.
Which one of these fish out of420 really stands out to you?
It's the pink one, right?
Because it looks differentthan the gray fish.
That's what having aportfolio can do for you.
And that's actually whathappens with my students.
This is a direct message from oneof my students, who landed a data
(08:03):
analyst job without a degree.
Not even any sort ofbachelor's degree at all.
This is what he said.
Thank you, I am legitimatelydoubling my current salary.
It's amazing what doing some projectsand having a portfolio can do for you.
And this quickly too.
Projects are the cheat code, you guys.
It's what makes you stand out.
And it's tangible evidence tohiring managers and recruiters
that they should hire you.
Now, that was the Ppart of the SBN method.
(08:24):
Let's talk about the N.
The networking.
And in this crazy economy with inflation,how it is, and the amount of job
applicants where it's at, you reallyhave to know someone to land a job.
Once again, it's all about trust, right?
These hiring managers andrecruiters, they're taking a
risk when they're hiring you.
Are you actually smart enough?
Are you actually going to work hard?
Are you actually like an honest, goodperson that's going to help the company?
(08:45):
Are you a team player?
It's all about if you can create enoughtrust for that person to be like, yes,
I believe that Avery is going to bea good addition to our team and help.
I trust in him and I'm going to hire him.
Well, who do you trust?
It's honestly the people you know.
And so your network is huge whenyou're getting hired because
that's just your circle of trust.
Those are the people who trustyou and they're more likely
to hire you than anyone else.
(09:06):
But you're probably thinking, oh crap.
Well, I don't really knowanyone, so I'm screwed, right?
And the answer is No, you'renot screwed because there's two
things that you could do today.
Number one, you can realize you probablyknow more people than you realize.
And number two, you canget to know more people.
My first tip is just to literallygo through your phone and look at
where data analysts might work.
(09:26):
Go through every single contact andjust write down where that person works.
Ask yourself, does thatcompany hire data analysts?
Yes or no.
If yes, shoot that person a textand say, Hey, do you know any of
the data analysts at your company?
Just start the conversation.
You're not asking for a million dollars.
You're not asking for a referral yet.
You're just starting a conversation.
That conversation could leadsomewhere quite fruitful down the
road, but it doesn't have to yet.
(09:47):
You're just making a connection.
Number two, you can meet new people.
One of the easiest ways to dothat is via LinkedIn by creating
content and commenting on LinkedIn.
It's something that I teach andask my students to do inside of
the Data Analytics Accelerator.
It's scary for sure, butit leads to great results.
Another thing that you can do tostand out is send hiring managers
and recruiters cold messages.
These are messages that just explain whoyou are and why you might be a good fit
(10:09):
for the role that they're posting about.
95 percent of job seekers don'tsend these, so just you doing
so puts you in the top 5%.
Another thing that's easier saidthan done is to really optimize
your resume and your LinkedIn.
If you're applying for jobs and you'renot getting any bites, you're It honestly
probably could be because your LinkedInand your resume aren't optimized.
These are the two tools that the ATS,the applicant tracking system, look at
(10:31):
to see if you're a good candidate or not.
If you haven't set it up correctly,you're not getting past them.
You're not even getting a chanceto get rejected by a human.
You're just getting auto rejected by thecomputer, which is super frustrating,
but there's some simple things thatyou can do to optimize both of those.
That's also part of the end.
All this is to say, if you're strugglingto land the data job, It's likely
because you're really fixated on the S.
(10:52):
But just remember that's onlyone third of the equation.
You have to have projects,you have to have a portfolio,
and you have to be networking.
If you ignore the other twofactors, the P and the N, you're
going to have frustration.
You're going to feel like you'restuck in tutorial hell, or you
feel like you're making progressbecause you're learning new things.
But, you have to remember thatlearning doesn't equal earning.
The combination of the learningwith the portfolios and the
(11:13):
networking, that equals earning.
If you want to learn more about how youcan follow the SPN method, I send out a
free weekly newsletter explaining how youcan follow the SPN method step by step.
So go check out the shownotes and sign up for that.
I wish you the best on your data journey.
And if you need another episode,I suggest this one here or it's
in the show notes down below.
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