We're looking at data analyst job resources so you can land one of these high paying,
high job satisfaction data analyst jobs for yourself.
There are over 50,000 job openings for data analysts in the US alone.
And that doesn't count data scientists which is booming right now.
From healthcare to tech to manufacturing, data analyst jobs are here to stay and they're
becoming more and more popular.
Over 60% of companies are actively saying they're planning to increase the number of
data analyst jobs that they have within their organizations because these people bring so
much value to their company.
If you're new here, I'm Jen.
I have over 15 years of experience as a data analyst, with managing data analysts, and
hiring data analysts.
I've helped many people build their own data analyst careers and I want to help you do
the same.
Whether you're just getting into a data analyst career or you want to become a better data
analyst, stick around to learn more.
There are a lot of resources for learning data analyst skills.
Whether you have $100k to spend on a degree or less than $1k to spend on getting the skills,
there are options for you.
They each have tradeoffs.
Those degrees can be fantastic because they also mean a lot of connections with organizations
and past graduates that can potentially help you in getting a job.
They also very concisely teach you a lot of skills from people that have a lot of experience.
These degree programs are especially valuable when they have a practicum aspect where you're
actually applying the skills that you're learning.
NC State's Masters in Analytics is a perfect example of a fantastic program that gives
business experience and has their graduates well connected into analytics jobs when they
graduate.
Maybe you're not in a position to spend a lot of money on a degree or you just don't
have the time to dedicate.
That could mean that you're already finishing up your degree and you don't want to go on
for more.
Or maybe you're already in the workforce and it's just not practical for you to quit your
job or go to school full time and work full time.
There are still a lot of resources available to you.
A few of the online resources that are available to you which will require more dedication
on your part to manage your own learning process, but also be much cheap would be DataCamp,
edX, Coursera, and Udacity.
All of these offer great options for learning data analyst skills and their either free
or fairly low in cost - much cheaper than a master's degree would be.
There are plenty of other options out there for learning data analyst skills.
I mention these 4 specifically because they're well regarded, they're popular, they're frequently
used, and they have some big names behind them.
I've put links in the descriptions to some of the analytics courses on each of these
platforms.
If you want to go completely free, you could put your own free data analyst skill program
together.
It's going to take more time than any of the other options because you'll need to do a
lot of research to make sure you're picking the right skills to build and you're finding
good resources to build them.
There's always a tradeoff.
You can do things for free or very cheap, but it's likely to take more time.
Sometimes spending even a little bit of money on it can help the process go a lot more smoothly,
a lot more quickly, and get you into the new career you want to start.
There are a lot of courses within these online platforms for learning data analyst skills.
So how do you pick which ones are important to learn and which ones are maybe good to
know, but not really the priority for you to focus on?
Really, you could study analytics for years and not cover every single topic.
There is always going to be some other area you could learn in.
So how do you know when enough is enough and you've got the skills you need so you can
get that data analyst job?
I cover all of this in my guide "How to Become a Data Analyst".
This is specifically the skills that are crucial for data analysts to know.
I link to resources you can use to build them.
And I also talk about how to find data analyst jobs that fit right for you and your interests
and skills.
Data analyst jobs can be really programming heavy or they can have almost no programming
whatsoever.
But they may all carry that data analyst job title.
So that guide also teaches you how to find those jobs that are the best fit for you.
Whether you're still in college, just graduated, or have been in the workforce for years, this
guide covers everything you need to know to build up your tools and your skills to land
a data analyst jobs.
Data analyst skills are just a small part of how to become a data analyst though.
This book also covers how to build practical data analyst skills that will both enhance
your skill resources and help you build up your resume.
When it comes to getting experience, the answer isn't always internships.
That's just not practical for a lot of people if you're not currently in school.
So I talk about other resources and options to you to build up those skills so you can
land a data analyst jobs.
There are many different paths that your data analyst career could take.
How do you figure out the right one and what the next steps are?
What's the outlook in terms of jobs?
How hard is it to move up?
All of that's in the book.
Finally, all of these topics get pulled together to help you launch your data analyst career.
You'll pull together what I taught you on the skills you need and I help you make a
specific learning plan to build your own data analyst career.
You've probably heard a lot of generic career advice.
And some of it's probably fantastic advice.
What you've probably noticed is much of it's really difficult to take action on.
What if instead of generic advice that at the end of the day doesn't do a lot for you,
you could learn from someone that has well over a decade of experience both working as
a data analyst and hiring data analysts?
And helping people build their analytics careers.
That's exactly what you get in this guide.
I'll use my 15+ years of data analyst experience to help you launch your data analyst career.
This 90 page guide will take you through every step of becoming a data analyst.
Once you've built all of your skills to become a data analyst and you've decided which is
the right data analyst job type that you're looking for, the next step is building a great
data analyst resume.
Your resume is a marketing document about you.
It's selling you and your data analyst skills to the companies and positions you're most
interested in.
You can build your resume entirely on your own.
Thousands if not millions of people do this everyday with varying amounts of success.
The reality is as analytics are used to look at these resumes from the start, 75% of applicants
for the average position get rejected right off the bat before anyone looks at the resume.
Companies use data at every step and if the data that you're giving them isn't saying,
"I'm the right fit."
Then they're going to pass on to the next candidate whose resume says, "Hey!
I fit your job!
I can do exactly what you need me to do."
That other resume may reflect on someone that is the same skill level or less skilled than
you but they've figured out how to combine all of that data and structure it in the right
way to tell companies what they need to know about them as a candidate.
If you're ready to build an effective data analyst resume right off the bat, check out
The Perfect Analyst Resume training.
I've put that in the description box below so you can go find out more about it.
I go through an actual data analyst job posting and talk about how to find the things that
are important and then I specifically walk through writing a resume tailored to that
job description to make you a good fit.
I expand on that to help you build your resume to fit whatever job that you may be applying
for and make sure you have those good connections so you're one of those 25% that automatically
get identified as a great fit for the position.
If you want ever more individualized help, I also offer 1 on 1 data analyst career coaching.
Career coaching is a great option when you need help navigating your data analytics career,
you want to be thoroughly prepped for your next data analyst interview, or you want to
have a solid salary negotiation to increase your offer and make even more money.
Check out all of the links in the description for the resources I've talked about in today's
video.
And another great resource is this channel so if you're not already subscribed, consider
subscribing and turning on notifications so you're notified every week when I upload a
new video.
I'm always talking about analytics related topics so this can be a great free resource
for you to learn more about data analyst jobs and data analyst careers.
Thank you so much for watching.
I hope to see you back in the future.