214: Data Analyst Jobs Are Hiding Behind These Weird Job Titles

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If you're trying to land a data

analyst job, stop searching

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for data analyst on job boards.

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And I know that sounds ridiculous, but I'm

low-key being serious because honestly,

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there is so many data analyst jobs

that don't have the title data analyst.

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In fact, there are probably thousands

of jobs out there right now that are

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literally perfect for you if you want

a data analyst job that are completely

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untouched, nobody's applying to them,

all because they have some sort of a

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weird title that just isn't data analyst.

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Today, I'll show you 12 pretty strange

job postings that I found that are gonna

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make you say, "Wait, is this a real job?

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Is this a data job?"

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We're gonna have three different groups.

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Group one is you're gonna

be working in weird places.

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Spoiler alert, a cruise ship.

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Uh, group two is strange combination

roles, like an executive assistant and

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a data analyst together in one role.

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And lastly, group three is

niche industries that you didn't

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realize had data analysts.

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For example, high school

sports data analyst.

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And by the way, if you're new

here, hi, my name is Avery Smith.

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I'm a senior data analyst, and

I help people land data jobs.

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And all 12 of these weird

data titles I found today were

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posted on findadatajob.com,

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which is the free data analyst

job board that I personally run.

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I post 35-plus data jobs there every

single day, so make sure you take a

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second to go bookmark it right now so

that you can find an awesome data job.

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All right, let's go ahead

and start with group one.

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Group number one: weird locations

that you might work as a data analyst.

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And the first one is a cruise ship.

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How awesome does that sound?

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Yes, this is a business analyst cruise

ship experience role posted by Insight.

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And I think Insight is some sort of

a recruiting firm here because as you

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can kind of read right here that this

is an exciting opportunity with one

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of our top- Cruise line clients, maybe

like Royal Caribbean or maybe like

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Disney, uh, or Carnival, I don't know.

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And this position is in the capital

of all cruises, Miami, Florida.

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And candidates must have a

valid US passport and ability

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to travel 30 to 40% as needed.

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Basically, you need to have a

passport, you need to be able

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to travel, and you're gonna be

looking at cruise ship experience.

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So you're basically a

data analyst on a cruise.

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So you're gonna be studying business

functions, gathering information,

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and evaluating output requirements,

translate information into written

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requirements, analyzing vendors

and solutions, build compelling,

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interactive, and actionable reporting.

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There's like more like

data-ey side of this role.

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Um, you're gonna be doing, uh,

different analysis, end-to-end test

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cases, a management plan for each

venue, determine and document user

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requirements for business procedures,

and abide by those in the future.

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So you need experience

translating business requirements

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into system requirements.

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Cruise ship booking application

or hotel reservation experience is

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a plus here, so if you've worked

in the hospitality industry.

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Detailed analytic capabilities, strong

experience in user testing and project

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management, and practical application

ability with Microsoft Office and Visio.

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So this isn't even saying, like Excel

or anything like that necessarily, but

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you're definitely doing a lot of analysis.

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You're definitely doing a lot of

reporting, and you're gonna be doing

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that while you're on a cruise line,

which is absolutely incredible.

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So if you're just searching for data

analyst, you might miss out on a role

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like this, where you're actually doing

this analysis, these experiments, on a

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literal cruise ship around the world.

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That is freaking awesome.

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Job number two is the field

data specialist archeologist,

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which, as it sounds, you're gonna

be working in the field of an

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archeology, an archeology field.

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And you have the chance to

do some pretty cool things.

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So you're gonna support field work

in the Northern California regions.

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You're gonna have to travel a little bit.

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This is actually only a part-time

temporary role at $27 to $35 per hour,

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and you'll be doing the following.

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You'll be conducting pedestrian

surveys, construction monitoring,

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and testing, including collection

of field data, digital photography,

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artifact identification, GPS

data collection, and mapping.

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Coordinate with construction crews

on monitoring needs and schedules,

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maintaining project files and

confidentiality at all times.

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Um, knowledge of regulatory

standards, interact with customers

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and clients, perform other duties.

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Basically, they want you to

have a bachelor's degree in

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some sort of field, and you're

gonna be in Northern California.

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Proficiency with Microsoft

Word and Excel is really key.

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I love that it says Excel.

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That means you're gonna be doing

some sort of tables and analysis.

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And of course, it might…

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things might get hot.

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You might be outside because you're

gonna be at archeology fields.

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So I think this is awesome.

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This role, I think, you know, a lot

of people might be listening to this

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and being like, "Field data analyst?

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That's not a data analyst job."

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And you're right.

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This is a data specialist role.

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It's a step right below a data

analyst, but I think it's a really good

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stepping stone if you're transferring

your career or if you're, if you've

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never really worked in the data

field, this is a great opportunity.

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And of course, with that being

a step below data analyst,

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the pay isn't quite as good.

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So the salary is 56 to 73,000,

which obviously is a step below

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what a data analyst get paid.

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Yeah, I think the average around there

is, like, 64 or something like that.

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That's not terrible.

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Like, it could be a lot worse, and that

could be either a raise for many of you

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guys, or it could just be a stepping stone

where you're, like, making that much now,

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but then you get to be in the data field.

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So I think this is a really good first

job if you wanna transfer into the

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data world, and I think this would

be, like, a really cool experience.

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You'd get some hands-on data.

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You definitely saw that

there would be GPS data.

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Um, there would be field data.

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There would be mapping.

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That's all data right there,

and you definitely would use

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some sort of Excel as well.

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It mentioned it down there as well.

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All right.

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The third job that is in a weird

location is near and dear to my

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heart, and it's a data analyst role.

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It says data analyst dash in Field

Preach My Gospel training part-time,

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and it's for The Church of Jesus

Christ of Latter-day Saints.

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And if you guys didn't know, I'm

a member of The Church of Jesus

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Christ of Latter-day Saints, and I

actually served a mission in Sweden.

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We'll pop up a picture right

here of me in my 20s in Sweden.

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So this position is central to the

missionary's role to invite others to come

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unto Christ by helping them receive the

restored gospel through faith in Jesus

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Christ and his atonement, repentance,

baptism, and receiving the gift of the

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Holy Ghost and enduring to the end.

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The role supports missionary training

efforts by providing operational insights,

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keyword there insights, to increase

efficiency and effectiveness, solving

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complicated problems using technology, and

partnering with research and evaluation

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in providing analysis, another keyword

right there, and insights into…

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that help missionary training efforts

scale and support the strategic

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goals of the missionary department.

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And so specifically, you'd be doing,

um, you're providing transparency,

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insights, and recommendations to inform

operations, decision-making, and planning.

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You'd be evaluating the onboarding

experience and tools to effectively

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train leaders, tutors, mentors,

trainers, and training coordinators

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on necessary knowledge and skills.

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I'm not sure what that one 100% means.

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Partners with the MTC Research

and Evaluation on key outcome

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efforts, and this is why I

have it in the weird locations.

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The MTC is stands for

Missionary Training Center.

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There's, uh, maybe a dozen

of these around the world.

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The biggest one is in Provo, Utah,

and that's the one I went to, where

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I learned how to be a missionary,

and I learned Swedish in six weeks.

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And if you're wondering if I speak

Swedish, Now I kinda forget 'cause

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I speak a lot of Spanish now.

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So anyways, this is, like, a really cool

place where they train people how to

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speak literally every language around

the world in a very short period of time.

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And so I think that'd be, like, a

really cool place to get data and

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to do an analysis on that data.

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You'd be using analytical tools

like R, Python, and SQL, analyzing

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missionary training data from programs

in Power Apps to determine use and

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effectiveness of training and provide

visualizations of findings in Tableau.

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So that's where we found the

skills and tools that you'll

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notice on the right-hand side.

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We pull these from the description.

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So Python, SQL, Tableau, and R.

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So this is, like, a full-blown

data analyst job, and I

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think it'd be really fun.

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Basically, you'd be using these different

tools, try to figure out how quickly these

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missionaries are learning languages, how

effective they're being, be showing those

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insights to, you know, key stakeholders.

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You'd be using Tableau,

those types of things.

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So I think this is a really neat job.

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I think it's very cool,

obviously very niche.

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But I was like, "Wow, to be a

data analyst inside or around

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the MTC would be really neat."

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Let's move on to job number four.

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The fourth weird place to be a

data analyst job is this quality

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and data analyst registered nurse.

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So what the heck?

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There's a lot going on there.

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There's quality analyst, there's

a data analyst, and then there's a

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registered nurse, so there's like three

different job titles in this one job.

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And it looks like this is…

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We ranked it about five out

of 10 on the experience level.

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This is a mid-level job, although

it does only require Excel.

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So let's read a little bit more.

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So the quality and data analyst

RN is responsible for coordinating

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the care of quality improvement

processes- For the care of patients.

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So this is a job where you're

trying to help patients get better

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care, better quality of care, and

you're improving it with data.

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Lead a multidisciplinary

team as an advocate.

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So lead is probably one of the

reasons why we said this was a

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harder job, a more experienced job.

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As an advocate to observe and

report care throughout the internal

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and external tracking systems.

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Track that care and report outcomes

and possible interventions.

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So I like that we're doing

tracking and reporting here.

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Responsible for serving as a patient

advocate and working closely with a team

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of providers and operations management

while serving as a clinical expert using

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data mined from EHR via chart review.

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So basically, you're gonna be working

in a clinic, and you're, like, half a

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healthcare provider, like a registered

nurse, and half a data analyst.

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You're like a data analyst talking

to a registered nurse, but one of the

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things you'll notice down here in the

requirements is the BSN is preferred.

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So, like, they do want someone…

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And if you're fr- unfamiliar

with BSN, it stands for

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Bachelors of Science in Nursing.

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It's actually what my wife has.

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So maybe I should send this job to my

wife, and she could be a data analyst.

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Finally, I'd convince her

that data is the way to go.

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Um, so really interesting

to, like, actually have,

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need a nursing degree almost.

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Actually, you do need to.

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Like, you need to have an RS license,

RN license, which is literally a

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registered nurse license, to do this job.

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But it looks like…

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And let's see where they use the word

Excel because I'm curious, like, where

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they're going to be writing that.

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Right here.

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I guess just you're gonna have

excellent skills with Microsoft Office,

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including Word, Excel, and PowerPoint.

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So I'm curious what other, like,

jobs, responsibilities they have in

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here that are actually more data-y.

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Organize and conduct care conferences.

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Okay, not that.

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Okay, initiate and perform ongoing chart

review of clinical outcomes related to

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the continuum of recommended patient care.

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Okay.

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Got it.

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Work with business and

clinical intelligence.

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So that's probably,

like, another department.

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This is probably, like,

their more data department.

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So you're kind of a bridge

between the healthcare department

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and the data department.

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Analyze data, create and present reports

with intent to show practice trends,

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outcome, and gaps for improvement.

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So that's a big one right there.

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So very cool job here.

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Basically, three jobs in one: a quality

analyst, a data analyst, and a registered

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nurse, but you're gonna be working

in some sort of a healthcare clinic,

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which is not where I've worked as a

data analyst in my career, so that's

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why I thought it belonged in here.

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Now, you may have noticed that most of

these jobs were expired, as I posted a

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lot of these jobs over 30 days ago, and

after 30 days I say that they are expired.

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But if you want fresh data jobs as well

as tips to land those roles, you wanna

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make sure that you're subscribed to my

newsletter, The Data Career Newsletter.

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Every Wednesday, I send you a few

handpicked data jobs that you should apply

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to, as well as tips on how to actually

land those roles, and it's 100% free.

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So go to

datacareerjumpstart.com/newsletter

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to subscribe.

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Or you can just click on the link

in the description down below.

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But that actually concludes group one

of weird places to be a data analyst,

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and it starts us in our next group,

group two, which is combo roles.

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So not only are you a data

analyst, but you're a blank.

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And for instance, this registered

nurse one could have gone in there,

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but I deferred it to group one.

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With that, let's get

into group number two.

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All right, the fifth job or the

first job in this weird group of

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combo roles is this school data

specialist/bookkeeper for Putnam County

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Charter School system in Georgia.

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And, uh, you can see that the job

description here is nothing amazing.

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If you click job description,

it'll actually open up the job

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description, which is like a scanned

PDF of what the job description is.

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So already off to a very weird start.

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But the title is school

data specialist/bookkeeper.

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It says, "The school data

specialist/bookkeeper is responsible

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for the management of student data,

state reporting data, attendance,

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scheduling, assessment, and managing

the finance records of the school."

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So I really like this.

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It's like, okay, you're going to

manage student data, all the reporting

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data, all the attendance data, all the

scheduling data, all the assessment data.

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Oh yeah, and you're gonna manage the

whole financial records of the school.

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So, uh, I think that's pretty crazy that

it's like the extra, I don't know what

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this is called, like a gerund in English.

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Managing the financial records of the

school gives it the bookkeeper status.

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The first part of it is just school

data analyst, and then managing the

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financial records of the school.

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That's what makes you a bookkeeper.

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Uh, the good news is requirement

is only high school graduate.

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So for all of you guys out there

who maybe don't have college degree,

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you know, this is an opportunity.

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This job right here doesn't necessarily

require one, which is great.

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I'm actually gonna zoom in here so you

guys can see this a little bit better.

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You must have knowledge of approved office

practices and excellent computer skills.

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Must have some experience in

records and financial management.

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Preferred: some college and

preparation in bookkeeping, ability

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to use complete record system and

financial programs for completing

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data, formal computer training skills.

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I think a lot of you guys watching

this would be qualified for this job.

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After, like, literally week two of my

boot camp data analytics accelerator,

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all of you guys would be 100% ready

for this job, I think, because my

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guess is they only are using Excel.

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And I don't know that for sure.

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Let's try to figure out

what we can learn here.

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So you're going to be using,

doing the financial bookkeeping,

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which is interesting, data

entry, which is interesting.

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Let's see what else.

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You're gonna record attendance data.

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You're gonna help with grade book

functions, maintain and monitor class

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size, maintain and file permanent

records, withdrawals, provide statistical

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report of registration student data.

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Aha.

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Finally, this is more of what

makes the job a data analyst job.

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It, it is obviously a data specialist

job, which is a step below a data analyst.

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But a lot of the times, these data

specialist jobs sneak things in

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here where you're analyzing data.

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So this is a pretty interesting role.

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I think a lot of teachers, transitioning

teachers out there, you guys

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would be great fits for this role.

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If you're maybe an accountant or maybe you

have, like, some sort of a business or a

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finance or some sort of degree like that,

this could be a really good role for you.

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Really interesting title and a great

start to our combinations role group two.

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The second job in our combo role is in

an illustrator/data analyst level four

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at Lockheed Martin, and it says, "We

are seeking a highly skilled technical

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illustrator to play a pivotal role-"

And establishing a new illustration

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part breakdown for the F-35 program.

308

: 00:13:45

So pretty cool.

309

: 00:13:46

Lockheed Martin, if you're not familiar,

is, like, a military subcontractor,

310

: 00:13:49

and I guess they're working on

F-35s, which is, like, a pretty cool

311

: 00:13:52

fighter jet, if I'm not mistaken.

312

: 00:13:53

As a key team member, you'll be

responsible for several critical tasks

313

: 00:13:56

that ensure the successful standup

of the illustration systems and

314

: 00:14:00

requirements while supporting 3D and

3D ISO data management requirements.

315

: 00:14:04

So this is very interesting.

316

: 00:14:06

It looks like it's, like, 3D

computer-aided design, CAD,

317

: 00:14:09

illustration, I'm pretty sure.

318

: 00:14:11

And you're going to be, like,

illustrating, like, what the F-35

319

: 00:14:14

looks like, like, to scale, right?

320

: 00:14:16

Not to, not to scale, but, like, with all

the really important informations on it.

321

: 00:14:20

And I don't know exactly what

makes this a data analyst job.

322

: 00:14:23

You can see it pays fairly well, like,

six figures for sure, and that's…

323

: 00:14:27

When you see a level four, that

usually means it's a more senior role,

324

: 00:14:30

so a higher pay would go in there.

325

: 00:14:32

Let's see if we can figure out

why this is an analyst role.

326

: 00:14:35

I don't see the word analyst anywhere.

327

: 00:14:36

I just see the word analyze.

328

: 00:14:38

Nope.

329

: 00:14:38

I see the word data.

330

: 00:14:39

Okay, data ISO data

management requirements.

331

: 00:14:42

Maybe that's why.

332

: 00:14:43

I don't see the word

Excel except for in Excel.

333

: 00:14:47

They want you to have this 3D

experience, work collaboratively,

334

: 00:14:50

strong communication.

335

: 00:14:51

So this is a really interesting job.

336

: 00:14:53

I'm actually not exactly sure

what- In the job description really

337

: 00:14:56

makes this a data analyst job.

338

: 00:14:58

But my point here, these combo

roles are kind of insane.

339

: 00:15:01

You never know, I guess, what's

gonna actually be in the combo roles.

340

: 00:15:04

But if you're maybe a mechanical engineer

or you're, you're really good at CAD,

341

: 00:15:08

this could be a good fit for you.

342

: 00:15:10

Moving on to our third weird combo job,

and that is executive assistant and

343

: 00:15:15

data analyst at Learn, Develop, and

Succeed, which is a growing, innovative,

344

: 00:15:20

research-informed nonprofit charity

based in Vancouver, British Columbia.

345

: 00:15:24

We serve children, youth, and adults

with diagnosed and suspected learning

346

: 00:15:27

differences such as dyslexia,

written output disorders, and ADHD.

347

: 00:15:31

All right.

348

: 00:15:31

Let's take a look at what you'd be doing.

349

: 00:15:32

So you'd be supporting

the executive director.

350

: 00:15:35

So you're basically like an

executive assistant to the executive

351

: 00:15:37

director and the leadership team.

352

: 00:15:39

Um, but this position, this dual

role position blends high-level

353

: 00:15:43

administration coordination with

data-driven insights to strengthen our

354

: 00:15:47

strategic planning and mission delivery.

355

: 00:15:49

The ideal candidate thrives on managing

logistics while also interpreting data

356

: 00:15:53

to guide organizational decisions.

357

: 00:15:55

This is a unique opportunity

for a motivated professional who

358

: 00:15:58

enjoys working in a fast-paced,

purpose-driven environment and

359

: 00:16:00

is keen to work collaboratively

with a diverse and driven team.

360

: 00:16:04

Okay, so very interesting.

361

: 00:16:05

You're basically a data…

362

: 00:16:07

I would call this a data-driven executive

assistant because you're basically doing

363

: 00:16:11

executive tasks or, or administration

tasks, but you're supposed to have a

364

: 00:16:14

data mindset when actually doing it.

365

: 00:16:16

But I guess you're supposed to come

up with the actual interpretation

366

: 00:16:20

of what the data is and what to do.

367

: 00:16:22

I think this role-- I mean, it

says it's a senior role because

368

: 00:16:24

the description sounds like it.

369

: 00:16:25

The salary is a little bit low

to be a senior role in my mind.

370

: 00:16:28

But let's go ahead and read

a little bit more about it.

371

: 00:16:30

So you're doing calendars,

appointments, and meeting logistics.

372

: 00:16:33

So once again, very administration.

373

: 00:16:35

Uh, draft, edit, and manage

executive correspondence.

374

: 00:16:37

Once again, presentations, reports.

375

: 00:16:40

I guess reports could be analytics-y.

376

: 00:16:41

You're following up on

key tasks, deliverables.

377

: 00:16:43

Once again, very admin.

378

: 00:16:44

Provide logistical and research

support for key initiatives,

379

: 00:16:48

including fundraising, government

relations, and annual reporting.

380

: 00:16:50

That one's a little bit more

data-y or analyst-y at least.

381

: 00:16:53

Oh, that was all the

executive assistant functions.

382

: 00:16:56

Now we're moving on to the data analyst

functions, which you're collecting,

383

: 00:16:58

organizing, and maintaining data

sets related to program delivery,

384

: 00:17:01

learning outcomes, finance,

operations, and supporting engagement.

385

: 00:17:04

So this is like a data analyst

for the entire company.

386

: 00:17:07

It seems like you'd be the only

data analyst at this company

387

: 00:17:08

because you're doing it for, like,

all the different departments.

388

: 00:17:10

You're analyzing data to identify

trends, opportunities, and

389

: 00:17:13

insights and measure k- KPIs.

390

: 00:17:15

Create visual dashboards and

custom reporting using Excel,

391

: 00:17:18

Power BI, or similar programs.

392

: 00:17:20

Collaborate with leadership and

generate monthly, quarterly,

393

: 00:17:22

and annually reporting.

394

: 00:17:23

Okay.

395

: 00:17:24

Great.

396

: 00:17:24

That is awesome.

397

: 00:17:25

And then we have some of the

qualifications down here, which is

398

: 00:17:27

basically proficiency in Excel, data

viz tools like Power BI and Tableau,

399

: 00:17:31

and basic statistical analysis.

400

: 00:17:34

So very interesting to be both

an executive assistant and

401

: 00:17:37

data analyst at the same role.

402

: 00:17:39

I think this would be a very fun job, but

probably pretty intense and challenging.

403

: 00:17:43

Just a weird combo job, you guys.

404

: 00:17:45

Very strange.

405

: 00:17:46

Our last combo role is a mouthful.

406

: 00:17:48

Here we go.

407

: 00:17:49

It is PV and energy storage

remote operator and data analyst.

408

: 00:17:54

So I think this is, you're basically an

operator and data analyst, and the PV and

409

: 00:17:58

energy storage is what you're operating.

410

: 00:18:01

Remote says how you're operating it.

411

: 00:18:03

So let's take a look.

412

: 00:18:04

So Ameresco is a leading energy

solutions provider dedicated to

413

: 00:18:08

helping customers reduce costs, enhance

resilience, and decarbonize to net

414

: 00:18:12

zero in the global energy transition.

415

: 00:18:14

That sounds pretty good.

416

: 00:18:15

I like that.

417

: 00:18:15

We are a trusted full service partner to

public sector and government entities, K

418

: 00:18:19

through 12, higher education, utilities,

and healthcare customers across the

419

: 00:18:22

United States, Canada, UK, and the Europe.

420

: 00:18:23

I have no idea what that means.

421

: 00:18:24

Okay.

422

: 00:18:25

So basically they're explaining who

they are, but your job here would be

423

: 00:18:28

to support the monitoring, analysis,

and optimization of solar and

424

: 00:18:33

energy storage system performance.

425

: 00:18:35

So you're going to be monitoring,

analyzing, and optimizing this solar

426

: 00:18:39

and energy storage performance.

427

: 00:18:41

Um, candidates must have an electrical

engineering de- degree or electrical

428

: 00:18:44

license with two years plus of solar

operations and maintenance experience.

429

: 00:18:47

So for all my electrical engineers,

and to be honest, I hope they would

430

: 00:18:50

take like other kind of degrees.

431

: 00:18:53

Like a mechanical engineer

could do this, I think.

432

: 00:18:55

So I don't know.

433

: 00:18:56

You never know what these degrees,

how like actual sticky they are to it.

434

: 00:18:59

But basically you're monitoring data from

this real time solar and energy storage.

435

: 00:19:03

So in my mind, solar and energy

storage essentially means they

436

: 00:19:06

have a bunch of solar panels.

437

: 00:19:07

Solar panels, you know,

harvest energy from the sun.

438

: 00:19:10

And when they say energy storage,

they usually mean batteries.

439

: 00:19:12

So basically we have a bunch of solar

panels and a bunch of batteries, and those

440

: 00:19:17

batteries are probably sending electrici-

well, they're storing electricity,

441

: 00:19:20

but eventually it gets sent somewhere.

442

: 00:19:22

But you don't always want to like use…

443

: 00:19:25

You wanna store your energy,

not use it right away, right?

444

: 00:19:27

Because, you know, you might not

have any electrical things on.

445

: 00:19:30

So basically it's really important to

harvest as much sun data as we can,

446

: 00:19:34

keep it stored as efficiently as we can.

447

: 00:19:36

There's a lot of things

that could go wrong here.

448

: 00:19:37

I kind of did some research

in college about this.

449

: 00:19:39

But you're gonna be looking for

anomalies, trends, and performance

450

: 00:19:42

deviations, analyze system performance

metrics, ability to handle complex

451

: 00:19:46

issues, collaborate with the

technical team, remotely diagnose,

452

: 00:19:49

troubleshoot, and reset equipment.

453

: 00:19:51

That sounds kind of harder to me.

454

: 00:19:52

I don't know much about

doing that remotely.

455

: 00:19:54

Being in person sounds a lot easier.

456

: 00:19:55

You're gonna use data visualization tools,

support predictive analytics models.

457

: 00:19:59

So wow, that, this better pay well.

458

: 00:20:01

Eh, it pays okay, but not great.

459

: 00:20:03

It does think this job's kind

of entry, four out of 10.

460

: 00:20:06

Um, maintain and improve data integrity

and investigate historical trends.

461

: 00:20:10

Experience with machine

learning applications.

462

: 00:20:12

Gosh, this is, this job

does not pay enough.

463

: 00:20:14

This job needs to be Up 20,000 on

the floor and the top at least.

464

: 00:20:18

'Cause they want you to be basically

an engineer with experience,

465

: 00:20:21

with machine learning experience.

466

: 00:20:22

There's not very many

people that can do that.

467

: 00:20:24

Uh, let's take a look.

468

: 00:20:25

So electrical engineering, you're

gonna be using Python, SQL, and

469

: 00:20:28

Excel, Power BI, and Tableau.

470

: 00:20:30

So yeah, really interesting role

where you're basically watching

471

: 00:20:33

this solar energy storage system,

watching all the data for it,

472

: 00:20:36

and making tweaks where needed.

473

: 00:20:38

So it's like you're not an analyst giving

those suggestions to the operator or

474

: 00:20:42

the technician to make those changes.

475

: 00:20:44

You're actually just making the

changes, which I guess if it's

476

: 00:20:46

easy to make changes, it's…

477

: 00:20:48

That makes sense, it's fine.

478

: 00:20:49

But like a really interesting combo role.

479

: 00:20:51

We had four, like, I couldn't believe

these jobs exist combo roles where

480

: 00:20:55

it's like, that seems like two people's

job that you combined into one.

481

: 00:20:58

I'm a little suspect of you.

482

: 00:20:59

And that ends group number two.

483

: 00:21:02

Once again, all of these jobs

were from findadat job.com.

484

: 00:21:05

This is the job board that I run,

so make sure you check it out.

485

: 00:21:07

Moving on to group number three, which

is very niche industries and niche

486

: 00:21:11

jobs that you didn't think existed.

487

: 00:21:13

And our first job for this category

is the Bright Star Lottery Financial

488

: 00:21:18

Analyst 3 from the city of Providence.

489

: 00:21:20

And I think this is just fascinating.

490

: 00:21:21

It could just be because we don't have

a lottery in Utah, I just don't really

491

: 00:21:24

think about the lottery very much.

492

: 00:21:25

But of course, the lottery is like a

business or an organization that brings

493

: 00:21:29

in money, so of course they would need

some sort of a financial analyst, right?

494

: 00:21:32

To go over all their financial records.

495

: 00:21:34

So in this role, you'd basically be

supporting the reporting, analysis, and

496

: 00:21:37

communication of the actual financial

performance and forecast outlook for

497

: 00:21:41

the retail lottery technology projects.

498

: 00:21:44

So you're basically saying, "Is

this lottery bringing in money?

499

: 00:21:47

Are we losing money?

500

: 00:21:47

How much money are we bringing in?"

501

: 00:21:49

To do that, you're making these ad hoc

financial reports for the month-end close,

502

: 00:21:53

forecasts, and budgets, giving financial

support as needed to understand updates

503

: 00:21:57

from the contractors or pricing models

and stuff like that, collaborating with

504

: 00:22:00

a bunch of different types of teams.

505

: 00:22:01

And basically you're being a financial

analyst at a lottery company,

506

: 00:22:05

which I think is so fascinating.

507

: 00:22:06

It looks like you'd be

using Excel and Power BI.

508

: 00:22:09

I mean, what an interesting job

to be analyst for the lottery.

509

: 00:22:12

Absolutely crazy.

510

: 00:22:14

I guess if you're into like gambling

and lottery and money, this could

511

: 00:22:17

be a really interesting fit for you.

512

: 00:22:19

But who knew it existed?

513

: 00:22:19

Not me.

514

: 00:22:20

Job number two in this group is

Billboard Charts and Data Analyst.

515

: 00:22:24

Country Christian Gospel Charts.

516

: 00:22:27

Really long title.

517

: 00:22:28

This is from Penske Media.

518

: 00:22:29

And you would be responsible for all

aspects of the country, Christian, and

519

: 00:22:34

gospel charts in Billboard and Billboard

Country Update on billboard.com.

520

: 00:22:38

So super cool.

521

: 00:22:39

Like, this is the Billboard

Top 100 songs, right?

522

: 00:22:41

But specifically, we're focused on the

country, Christian, and gospel charts.

523

: 00:22:45

I guess those ones aren't as popular.

524

: 00:22:47

You'd be depended upon to maintain the

relevance and accuracy of Billboard's

525

: 00:22:51

current chart menu, conducting daily

and weekly data analysis, detailing

526

: 00:22:55

chart movement and data trends via

editorial and social content, and

527

: 00:22:58

seeking out new means of charting music

consumption dictated by market shifts.

528

: 00:23:02

Wow, this is a really cool role.

529

: 00:23:05

I love this role.

530

: 00:23:06

So, um, let's break down

what you're doing here.

531

: 00:23:08

So you're going to make sure

that the chart is up to date.

532

: 00:23:10

So like based off the data they have,

you wanna make sure that like…

533

: 00:23:13

It's basically a sequel query, right?

534

: 00:23:14

It's like select the, for instance, like

song name, artist name, rank, where genre

535

: 00:23:21

is equal to, uh, is in country, Christian,

or gospel, and then you do a window

536

: 00:23:26

function to get the rank there at the top.

537

: 00:23:27

So you're basically in charge some sort

of like SQL query that gives you like

538

: 00:23:31

the top 10 songs of country or the top

10 songs of gospel or whatever, right?

539

: 00:23:35

You're also the weekly analysis for that.

540

: 00:23:37

The chart movements and data

trends, so it's like what's changed.

541

: 00:23:40

So like for instance, in country,

you know, maybe Toby Keith.

542

: 00:23:43

Is that a country person?

543

: 00:23:44

Used to be like the guy, and he

used to be, you know, on every

544

: 00:23:47

weeks of Billboard Top 100 Country.

545

: 00:23:49

But now it's Luke Combs or it's,

uh, Morgan Wallen or something.

546

: 00:23:53

And you create these editorial or

social content to try to show this.

547

: 00:23:57

So basically, you're like trying to

entertain people giving this analysis

548

: 00:24:00

to like the masses, to like normal

people, which I think is really cool.

549

: 00:24:03

Or trying to find new ways to chart

music, like how cool would that be?

550

: 00:24:07

The person would be the Billboard

charts and data representative to the

551

: 00:24:09

music industry community for his or

her genre charts and act as liaison for

552

: 00:24:13

those formats with our data sources.

553

: 00:24:15

Super cool.

554

: 00:24:16

Very awesome.

555

: 00:24:16

I think this would be a fantastic role.

556

: 00:24:19

Let's see like in terms of requirements.

557

: 00:24:20

It wants you to have a music background.

558

: 00:24:22

It wants you to have writing

experience, once again, for those like

559

: 00:24:25

social pieces or editorial pieces.

560

: 00:24:27

Data analysis experience.

561

: 00:24:29

Familiarity of influential people in

various sectors of the industry is a plus.

562

: 00:24:33

Well, that's awesome.

563

: 00:24:34

It's like, "Hey, do you know

anyone famous or influential?"

564

: 00:24:36

That's really good.

565

: 00:24:37

Knowing country music or Christian

and gospel music is good.

566

: 00:24:40

Experience in analyzing data sets to

identify trends, patterns, and insights.

567

: 00:24:44

Very interesting requirements here.

568

: 00:24:46

And in terms of responsibilities, once

again, you're reviewing new titles for

569

: 00:24:50

proper genre placement, conduct weekly

analysis and validation of this data set,

570

: 00:24:55

maintain open dialogue, write daily and

weekly chart related editorial sections.

571

: 00:24:59

We talked about that.

572

: 00:24:59

Appear on camera for Billboard

created long form and short form

573

: 00:25:03

videos regarding the genres that you

oversee, providing insight and analysis

574

: 00:25:07

on chart movements, data trends.

575

: 00:25:09

This is such a cool job.

576

: 00:25:12

You guys, if you like music, I

highly suggest applying for this.

577

: 00:25:15

It is remote.

578

: 00:25:16

Now, obviously this job is

expired, but we post more jobs

579

: 00:25:19

like this on finddatajob.com.

580

: 00:25:20

Or you can always go check out the

Penske, uh, website and try to see

581

: 00:25:23

if you can find something there.

582

: 00:25:25

What a cool niche job.

583

: 00:25:27

Let's see what's the next one.

584

: 00:25:28

Our third weird job in this niche field

is- High school sports data specialists.

585

: 00:25:33

So obviously there's, like, sports

data specialists, sports data

586

: 00:25:35

analysts, those types of things.

587

: 00:25:36

But did you realize that this

even went as low as high school?

588

: 00:25:39

So the candidate will identify clean data

streams and help lead manual data mining.

589

: 00:25:44

The goal is to deliver a robust inventory

of stats, schedules, scores, rosters,

590

: 00:25:47

rankings, and more across all high

school sports, including clubs and

591

: 00:25:52

academies, that can be easily accessible

and utilized by readers in addition to

592

: 00:25:55

sports journalism across the organization.

593

: 00:25:57

The ideal candidate will show

proficiency in Structured Query Language.

594

: 00:26:00

Wow, it has been a while since

I've seen someone spell out SQL.

595

: 00:26:03

That is crazy.

596

: 00:26:04

And coding language

software such as Python.

597

: 00:26:07

Establishing methods to ingest high

school data at scale is a must.

598

: 00:26:10

Wow, this is really interesting.

599

: 00:26:11

This is less entry-level than it seems.

600

: 00:26:14

The data specialist makes it feel

entry-level, and the pay makes it

601

: 00:26:17

feel entry-level, but if you have to

know Python and you have to be able

602

: 00:26:21

to know SQL and you have to be able

to establish a method to ingest high

603

: 00:26:24

school data at scale, AKA this means

web scraping in my opinion, this job

604

: 00:26:28

needs to be $20,000 up on both ends.

605

: 00:26:31

This role would work closely with

third-party data partners and editors

606

: 00:26:34

and writers across the USA Today network,

including the network sports AI team,

607

: 00:26:37

which specializes in data automation.

608

: 00:26:39

Ah, maybe they can help you 'cause

they seem like they'd be good.

609

: 00:26:42

They bring solutions to clarity

to complex situations is a must.

610

: 00:26:46

Wow, very interesting.

611

: 00:26:48

What an interesting role.

612

: 00:26:49

I think this would be really

fun if you like sports.

613

: 00:26:51

I think this would be a

really challenging role.

614

: 00:26:53

It's actually 100% remote.

615

: 00:26:54

Work for a really big entity.

616

: 00:26:56

Super cool, interesting niche job.

617

: 00:26:57

You know, I played high school soccer,

and I remember, like, reading my name

618

: 00:27:01

in the newspaper when I scored goals in,

like, the state tournament or whatever.

619

: 00:27:04

So this would basically be

doing that on a national level.

620

: 00:27:07

It'd be like looking up, you

know, what's Avery Smith's

621

: 00:27:09

high school soccer statistics?

622

: 00:27:11

And USA Today would pop up with, like,

a, a page of my high school career.

623

: 00:27:15

Shout out to anyone that goes and

finds my high school career and

624

: 00:27:18

finds out how many goals I scored.

625

: 00:27:19

Was it a lot?

626

: 00:27:20

Was it a little?

627

: 00:27:21

Only a person who is able to ingest

high school data at scale is a must.

628

: 00:27:27

Only someone that can do

that could figure it out.

629

: 00:27:29

And the last one for this

group is just so niche.

630

: 00:27:32

I've never heard of anything like this.

631

: 00:27:34

I saved the best for last.

632

: 00:27:35

And that is business analyst to

the chief of staff of the CTO

633

: 00:27:39

organization And that's with

Schoenfeld in New York, United States.

634

: 00:27:43

So they're looking for a business analyst

to support the chief of staff of the

635

: 00:27:46

chief technology officer organization.

636

: 00:27:49

Why isn't this just, like, the tech

organization, and why is it the chief

637

: 00:27:51

technology officer organization?

638

: 00:27:53

I don't know.

639

: 00:27:54

The ideal candidate is a fast

learner, highly organized,

640

: 00:27:56

self-motivated, with excellent

written and verbal communication.

641

: 00:27:59

Okay, so what would you do?

642

: 00:28:00

You work closely with the chief

of staff to analyze and document

643

: 00:28:03

organizational workflows.

644

: 00:28:04

Okay, so far that's more the business

of the business analyst's role.

645

: 00:28:08

And processes, and will support new

processes and workflow implementations

646

: 00:28:11

across the CTO organization.

647

: 00:28:12

In addition to process and workflow

support, this person will be

648

: 00:28:15

responsible for the organization and

management of the data department.

649

: 00:28:18

You manage a whole department?

650

: 00:28:19

Which they'll be required to analyze

and use to produce data visualizations.

651

: 00:28:23

Okay, this is insane.

652

: 00:28:24

So you're going to…

653

: 00:28:26

It says Excel, Power BI,

Confluence, Jira, Trello.

654

: 00:28:30

Okay, this is really interesting.

655

: 00:28:31

So this is actually very similar to that

role that we did earlier, the combo role

656

: 00:28:35

of executive assistant and data analyst.

657

: 00:28:37

This is basically you're an

executive assistant slash…

658

: 00:28:41

No, you're more of a business analyst.

659

: 00:28:42

You're a business analyst to,

I guess, this organization.

660

: 00:28:44

But this is just a wild title.

661

: 00:28:46

Like, why not just call

it business analyst?

662

: 00:28:47

And then this is like you're in this

division, and, like, this is your boss.

663

: 00:28:51

This is who you report to.

664

: 00:28:52

I don't know why they named it this

way, but very interesting niche role

665

: 00:28:55

where you're basically looking at

processes for a whole department.

666

: 00:28:59

And I guess with data and with Power BI,

you're tracking, are on- things on time.

667

: 00:29:04

Are these processes going

the way that they should?

668

: 00:29:05

Are these systems working

the way they should?

669

: 00:29:07

And just making sure that everything is

operationally functioning at a high level.

670

: 00:29:11

You're using data to do that

in this business analyst role.

671

: 00:29:13

Very niche, very interesting.

672

: 00:29:15

So here's the point.

673

: 00:29:16

The point isn't that you should go become

an archeologist or cruise ship analyst.

674

: 00:29:21

The point is that the job market is just

way bigger than what you see when you just

675

: 00:29:25

type in data analyst into the search bar.

676

: 00:29:27

Really, the key here is to think

about the skills that you have.

677

: 00:29:30

Excel, SQL, Tableau, Power BI, Python.

678

: 00:29:33

And then ask yourself, "Hey, well, what

industries actually use these technologies

679

: 00:29:37

that maybe don't call it data analyst?"

680

: 00:29:39

Whether it's healthcare or music

or sports or energy or government,

681

: 00:29:42

non-profits, churches, whatever.

682

: 00:29:43

I don't know.

683

: 00:29:44

Because these companies in the

industries, they need people to analyze

684

: 00:29:47

their data, and they might just be not

very data mature, and so they don't

685

: 00:29:50

call their roles a data analyst even

though they are data analyst roles.

686

: 00:29:54

And they're not getting flooded with

applications like everyone else.

687

: 00:29:58

They are real data analyst jobs

hiding behind weird titles.

688

: 00:30:02

So if you've just been applying to data

analyst jobs on LinkedIn Jobs and you're

689

: 00:30:06

getting nowhere, well, you need some help.

690

: 00:30:08

And hopefully these weird job

titles that we went through today,

691

: 00:30:11

they will be things that help you.

692

: 00:30:13

The link to the job board is down

below in the description, and you

693

: 00:30:16

guys, get on it, because it's really

hard to find a data analyst job when

694

: 00:30:19

you're looking only in one place

that everyone else is looking in.

695

: 00:30:23

But if you switch to a different

place, some good things can happen.

696

: 00:30:26

I promise that you can do it, especially

if you're looking in the right place.

697

: 00:30:29

I hope this helped.

698

: 00:30:30

If it did, I'll see you

in the next episode.