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The odds are stacked against you for remote data jobs. I show you how to flip them in your favor.
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⌚ TIMESTAMPS
01:21 – Remote jobs are 17% of the market
02:06 – Try hybrid first
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09:30 – Network your way in
12:33 – Search smarter
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Transcripts
All right, I got to admit that landing
a remote data analyst job in 2026
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feels virtually impossible, and most
people listening will not succeed.
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00:00:08,670 --> 00:00:12,460
But there are five things that you can
do to give yourself an unfair advantage
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in landing a remote role, and I will show
you all five of them in today's episode.
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But first, why does this
feel so gosh darn impossible?
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And the answer is because
it kind of low-key is.
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If I'm being honest, the odds are
stacked against you, and really
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what it comes down to is math.
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There was a study done in
2023 that showed that 98% of
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workers want to work from home.
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They want to work remotely.
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And I get it, working remotely is awesome.
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I love working from home.
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It's the best.
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But that means when you're applying to a
remote data job, you're not only competing
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with the people inside of your local city
or inside of your county or your state
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or even the country, you're competing
with people from all over the place.
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And so the odds of you being the
best candidate just kind of go
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down with the number of applicants
that are actually applying.
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And even if you are a great applicant,
the odds of your resume and you
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actually getting noticed through the
applicant tracking system is so low,
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so it virtually feels impossible.
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Now, you might be thinking, "Well, if
everyone's applying to these remote
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jobs and I can actually apply to
any remote job, then I have lots of
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jobs that I can apply for, right?"
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Well, and the unfortunate truth is there's
not a lot of remote data analyst jobs.
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Despite what the courses tell you,
despite what the influencers tell you,
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here is the raw number from my job board
that I've been running for 18 months.
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17%.
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That means about 2 out of every
10 data analyst jobs are remote.
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The remaining 8 out of 10 are not remote.
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So if 98% of us want to work remotely,
but only 20% of the jobs are remote, this
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is a huge supply versus demand issue.
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And basically, what it means is those
remote jobs are incredibly competitive.
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They get 5 to 10 times more applicants
than its normal counterpart, and it
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feels impossible to land these roles.
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And actually, in my corporate life, my
W2 data jobs, I never had a remote role.
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In fact, I barely had a hybrid
role, if I'm being honest.
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Now, obviously, since becoming
more of a consultant educator,
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I get to work from home.
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So with the odds stacked
against us, what can we do?
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Well, here are five things that you
can do today to increase your odds of
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landing that data analyst role remotely.
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The first thing you can do to land a job
more successfully, and hear me out here,
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don't stop listening, don't hate me, is
to, one Not go for a remote data job.
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And, and let me explain real quick.
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Please keep listening.
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I think that there's something that you
actually want that you have a better
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chance of landing that will get you most
of what you are actually desiring, and
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I'm gonna call it an 80% remote job.
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It's not 100% remote, it's 80% remote
job, and another term for this is hybrid.
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And hybrid roles are actually
more common than remote jobs.
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There's about 22% of all posted
data analyst jobs that fall
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into this hybrid category.
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And the cool thing about hybrid
is you have a lot of the perks
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of working remotely, but you
have way less competition.
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Because unlike 100% remote jobs, you're
not competing with everyone in the
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entire country and the entire world
for this role, it's only the people
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in the area of the actual job office.
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This means it's gonna get a lot
less applicants, it's gonna be a lot
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less competitive, but you're still
gonna have the opportunity to work
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from home at least a percentage.
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Now, hybrid is a spectrum.
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Sometimes hybrid means that you go to
the office four times a week and you
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work from home one day a week, but it
can also mean the opposite, that you
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work from home four days a week, and
you come to the office one time a week.
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Heck, I even have some students who
graduated from my accelerator program
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who are hybrid, and they have to come
to the office once a month, and I have
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one that has to come to the office
once a quarter, which is insane.
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That is basically remote to me.
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But the job that she applied
for was labeled hybrid.
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So answer me this, are you okay
potentially going to the office one
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to two times a week if it was going
to help you land a job a lot faster
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and probably have a higher salary?
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Would that be worth the trade-off for you?
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And while I have you thinking
about this, I'm gonna suggest one
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more thing, and that is that you
actually go for an on-site job.
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Because as you can see, 61% of data
analyst jobs are posted on-site.
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This is the majority, and these
are less desirable than the
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remote and the hybrid jobs, right?
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So they're gonna be way less competitive
because people don't wanna do it.
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There's also a smaller applicant pool just
because you're not going to be competing
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with people from all over the country.
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But let me also point out, if you're
trying to land your first data job,
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another two reasons why this in-person
job might be a really good bridge for you.
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Number one, you have no proven
experience of being a data analyst, and
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when you're going through the hiring
process, the hiring manager is thinking,
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"Is this person a risk, yes or no?"
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When you have no experience, you're
already kind of by default a risk.
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Let me tell you that corporate and
managers see people working remotely
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often as a risk as well because
they can't see you, and they can't
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keep track of what you're doing and
if you're actually working or not.
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Now, does every manager think that way?
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No.
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But corporations do think
that way, I promise.
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And working remotely, you are
a risk to a lot of companies.
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So no experience risk and working remotely
risk, you're just not likely to get hired.
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The second reason you might wanna
consider an in-person job is you're
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gonna receive way better training.
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I love working remotely, I love working
virtually, but I can't disagree that
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you get better training with a human
right next to you than you do on Zoom.
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I promise you're gonna learn
a lot more in the office.
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You're gonna make more friends.
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You're gonna have better
visibility opportunities.
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You're gonna be seen by the manager more.
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Honestly, you're probably
gonna get more promotions.
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I'm just telling you, I hate to say
it, I wish it wasn't the case, but when
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you're in the office, good things happen.
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Now, before all of you guys accuse
me of being a corporate wog in the
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comments down below, I don't like
going to the office When I worked
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at Exxon, I was working hybrid.
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It was during COVID.
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It, it really is an in-person job, but
I decided I didn't really want to go to
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the office, and so I didn't go to the
office for six months, and I promise
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you, that hurt my growth at the company.
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So step number one to landing a
remote data analyst job is to first
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not land a remote data analyst job.
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I know, kind of wonky, kind of meta,
but it's something I actually really
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believe in, and it's honest advice coming
from someone who's been in your shoes.
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But if you want to ignore all that
and say, "Avery, I'm going for
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the competitive 17% remote job.
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I want it.
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I need it," then okay, step two, three,
four, and five will help you become the
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best candidate to stand out in that pool.
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Let's start with step number two,
and that is the obvious one once
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again, and it's to learn the skills.
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You can't become a remote data analyst if
you don't have good data analyst skills.
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Now, I've made a lot of episodes in the
past talking about this, but my philosophy
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is you shouldn't try to learn every single
data skill out there, every single data
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tool out there, because there's way too
much to learn, and it's way too hard to
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learn them all, especially at the same
time when you're just getting started.
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So what skills should you actually learn?
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Well, for me, I think there's two factors.
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One, how in demand the skill is,
and two, how easy is it to learn?
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Now, what's the most
in-demand data skill there is?
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It's Python, right?
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That's what everyone says.
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That's what all the Influencers
say that's what the course is.
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No, it's not.
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It's Excel.
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It's boring freaking Excel, you guys.
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And if you don't believe me, I actually
analyze all the job descriptions
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on my job board, findadatajob.com,
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and I created this graph right here
that's actually live on the website,
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updates automatically to show you
what skills are most listed in the
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job descriptions for a data analyst.
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So you can see that Excel is basically
mentioned in half of all data analyst
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jobs, followed by SQL at 38%, and then
the business intelligence tools of
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Power BI and Tableau are on that 24 to
25% mark, followed by Python and some
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more complicated tools down below.
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So what's in demand?
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It's Excel, it's SQL, and it's
a business intelligence tool.
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And in terms of ease of learning and
using, most of us have already used Excel
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before, so it's a great place to start,
and it's really not that complicated.
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The next easiest in my mind
is the business intelligence
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tools of Power BI and Tableau.
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If you can figure out how to make
a PowerPoint presentation, you
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can figure out how to make these.
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And then I think SQL is a lot easier
than Python because there's a lot less
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coding involved, and there's really only,
like, 17 commands you need to know to get
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started with basic SQL for data analysts.
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So those are the three skills I
would focus on in the order of
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Excel, Tableau or Power BI, and SQL.
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Now, you might be saying, "Avery, those
are the best skills for data analyst jobs.
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What about remote data analyst jobs?"
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And the answer is the data
doesn't really change that much.
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On the website, findadatajob.com,
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you can look at this report and actually
filter by remote jobs only, and you'll
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see that the top five are still the
top five, although SQL and Excel do
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change place, and SQL is required
in 48% of remote data analyst jobs.
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So SQL might be a little bit more
important for remote data analyst
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jobs, and so that might be something
you wanna focus on a little bit more.
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But even if you've learned these
skills, you're still a risk to the
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hiring manager because you have
no proof, you have no experience.
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So you need to actually figure out
how to create your own experience.
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And that leads me to step number
three, which is creating your own
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experience by building a portfolio.
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Once again, if you're going to be
hired remotely, you are a risk.
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They haven't met you in person probably.
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They won't be able to walk by your desk
and see what you're working on day to day.
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You'll probably have less
conversations with the people
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on your team and your manager.
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You are a foreigner and you are a
risk, and so you need to build up every
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single ounce of evidence that you can
actually analyze data to present to
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the recruiter, to present to the hiring
manager, that you can actually be a
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productive data analyst on their team.
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And in my opinion, a portfolio is the best
way that you can present this evidence.
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If you've never heard of a portfolio
before, it's basically you do pretend
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work, and you call it a project, and
you publish it online somewhere, so
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it's very accessible for them to,
like, read through your case study
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of how you actually analyze data.
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And it's basically like, "Hey,
look, this is what your job
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description says that I need to do.
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Here's evidence of me doing
this for a different job."
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It could just be a job you make up,
whatever project you're interested in.
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And it proves to the hiring manager,
oh, this person's actually capable.
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So in terms of where to host your
portfolio, I have a new favorite, and
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it's because I'm extremely biased, I
built it, but it's called mydatafolio.com.
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And it's really what my solution
was to portfolio making.
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It used to be hard, it used to take
a long time, it used to be ugly.
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I think this is the fastest and easiest
way to build a data analyst portfolio.
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So you can get started for
absolutely free at mydatafolio.com.
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But here's the catch.
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Even with a portfolio, even with
the skills, that's not gonna be
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enough to make you stand out in
this huge pool of applicants.
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In fact, I suggest skipping the
applicant tracking system altogether.
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And how do you do that?
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Well, it's easier said than done, but it's
step number four, which is networking.
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The ATS applicant tracking system is
a complete mess for these remote jobs.
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They're getting 200, 500, 1,000
applicants for these remote data
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analyst jobs, and you have to stand
out in this applicant tracking system.
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You have to stand out to a computer,
and so really all it really has is your
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resume and sometimes your LinkedIn.
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So you obviously wanna make sure
that those things are up to snuff,
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as optimized as possible, that they
have all your listed skills, and
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a link to your portfolio as well.
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Also, if you can actually show that
you've worked remotely before on
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your resume or your LinkedIn, that's
bonus points because, oh, look it,
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they actually have done this before.
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We trust them.
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If you haven't worked remotely
before, then you can give some sort
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of bullet points that you can be
dependable, and you can communicate
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clearly, and that can be, uh, suffice.
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But in my opinion, you really wanna
skip this whole applicant tracking
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system if you can, and you can do that
through networking in two different ways.
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Number one is by getting a referral, which
I know is easier said than done, but a lot
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of aspiring data analysts don't even try.
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They just think, "Oh, I don't know anyone.
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How am I ever going to get
a referral at a company?"
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But false.
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You know lots of people.
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Look to your left, look to your right.
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There's people around you.
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And if you're by yourself, re-listen to
this in like, I don't know, eight hours,
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and you're probably next to someone else.
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My point here is you have neighbors,
you have friends, you have family, you
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have cousins, you have soccer teammates,
you have pickup parent buddies.
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Like, there are people around you
who could refer you to a job that you
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just aren't thinking about right now.
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And the key part here is they don't
have to be a data analyst They
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just have to work at a company
that would hire data analysts.
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Start talking to them.
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Start talking about what you're looking
for, start talking about your work life
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when you see them, and just like, "Hey,
this is the job I'm kind of going for.
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I want to become a data analyst,"
and you'll be amazed what happens.
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I promise you, there's miracles.
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I've seen so many people in my program.
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In fact, we've had one, uh,
lady who talked to her friend
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and got hired basically with,
like, a 15-minute interview.
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She now works remotely as a
data analyst in Houston, Texas.
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She was an esthetician beforehand,
no technical experience, and now
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a remote data analyst, all because
of one person that she knew.
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It was her friend's husband
who knew someone, I think.
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So just open your mouth.
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On your girls trip, start
talking, and you'll be amazed.
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The other thing that you can do to
network is actually network with
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the recruiter or the hiring manager
that is responsible for this role.
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And you might be thinking, "Avery,
I have no clue who this is."
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And you're right.
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For most jobs, you don't know who the
hiring manager or the recruiter is.
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So what do you do?
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Well, a lot of hiring managers and
recruiters will actually post on LinkedIn
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about the job that they're hiring for.
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And if you find these types
of posts right here, you can
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actually figure out who they are.
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So r- in this instance, Tyler
says, "My team is hiring.
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We're looking for a digital analyst
to join Urban Outfitters," which
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is, like, the cool clothes company,
right, "uh, analytics team to
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help run our A/B testing program."
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Sounds really cool.
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I like that job a lot.
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I'm very interested.
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And so I could actually comment on this
post or I could reach out directly to
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Tyler on LinkedIn, send him an InMail, uh,
and say, you know, "I'm really interested.
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Here's a project I've done
with A/B testing previously.
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Like, I think I'd be a really
good fit for this role.
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Let me know if I'm a good fit," or,
"What advice would you have for me?"
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Or whatever question you want to ask.
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You can send some sort of a cold message.
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You could also leave a
comment saying the same thing.
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Now, how do you find these types of posts?
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It's a little bit difficult.
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I've made a video in the past about
how to actually do this step by step.
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The easier option is just let me find
them for you and give them to you.
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So I created a second job board
called premiumdatajobs.com.
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That's literally only these types of jobs
that have a LinkedIn post where the hiring
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manager or the recruiter has posted them.
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You can comment or send an InMail to
them directly and skip the ATS altogether
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and become one of the first names
that they actually see in their inbox.
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I specifically hunt for jobs that
are posted within 24 hours and that
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are good fits for people like you.
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If you want to check it out, you
can go to premiumdatajobs.com,
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which that actually brings me to step
number five, which is to search smartly.
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Now, obviously, you can just go to
LinkedIn Jobs and turn on the remote
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setting and apply for jobs that way.
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But that's kind of what
everyone does, so here are a few
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suggestions that I can give you.
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Number one, try a different job
board that most people don't do.
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My free job board, findadatajob.com
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is a great place to start.
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We have a remote filter
there that you can test out.
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Number two, there's a bunch of
remote first job boards, like
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Remote OK or Remote Rocketship.
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These post only remote jobs.
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They're not data specific, but they have
good options for you to check out, and not
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a lot of people are checking those out.
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And number three is to actually find
remote first companies, companies
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that- actually care and do remote work.
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Then you go to the jobs available
and careers on their website and
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apply directly on their website.
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Oftentimes, you might notice a job faster
than other people, or you might have a
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better chance of g- doing well in the ATS
if you apply directly from the website.
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Now, I made a list of 50 remote-first
companies right here that'll pop up
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on the screen if you're watching this.
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If you're listening, obviously you
can't see it, but companies like GitLab,
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Zapier, Buffer, Basecamp, HubSpot.
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These are remote-first companies,
and I'll have a link in the
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description down below so you can
see all 50 remote-first companies.
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You guys, it's really hard to
land a remote data analyst job,
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but I promise that you can do
it with these five cheat codes.
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I hope this helped.
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If it did, I will see
you in the next episode
