Do not become a data analyst if.......
Summary
TLDRThis video script offers a reality check on the expectations of becoming a data analyst. It highlights the necessity for self-learning, patience, and strong communication skills in the role. The speaker dispels the myth of high starting salaries, clarifying that while data analysis can be a rewarding career, it requires persistence and the ability to work independently and with others. The script provides valuable insights for those considering a career in data analysis.
Takeaways
- ๐ Becoming a data analyst requires a lot of self-learning and independence.
- ๐ If you need a lot of hands-on help, this role might not be the best fit for you.
- ๐ The field is constantly changing, so ongoing learning is necessary.
- ๐ You may need to Google and learn tools like SQL, Tableau, and Power BI on your own.
- ๐ค Being able to find answers independently is crucial since coworkers may be busy.
- โณ Patience is key, as you'll encounter challenges with databases, tools, and debugging.
- ๐ค Communication is important; you'll interact with team members, stakeholders, and clients.
- ๐ผ Daily scrums and updating project statuses are part of the job.
- ๐ฌ If you dislike frequent interaction and teamwork, this role might not suit you.
- ๐ฐ The expectation of a high starting salary (like $100k) is often unrealistic for entry-level positions; typical salaries range from $60k to $80k.
Q & A
Why should someone who is not a self-learner avoid becoming a data analyst?
-In the role of a data analyst, you need to learn a lot on your own as things are constantly changing. If you require a lot of hands-on help to complete tasks, this may not be the best fit because you must be an independent learner.
What is the importance of self-learning for a data analyst?
-Self-learning is crucial for data analysts because they often need to acquire new skills and knowledge on their own, as on-the-job training may be limited. This includes learning tools like SQL, Tableau, and other data visualization tools independently.
What challenges might a data analyst face with databases and tools?
-Data analysts might face issues such as debugging code, finding the right data source among hundreds of tables and views, and dealing with tools that don't always function as expected. Patience and problem-solving skills are essential.
Why is patience important in a data analyst role?
-Patience is vital because data analysts encounter various issues, such as debugging code, waiting for data or approvals, and handling clients who may change their requirements frequently. These situations require a calm and patient approach.
How does communication play a role in a data analyst's job?
-Communication is key for data analysts as they need to interact frequently with team members, stakeholders, and clients. This includes giving project updates, working through roadblocks, and collaborating on solutions.
What might surprise people about the amount of interaction required in a data analyst role?
-Many people might expect data analysts to work mostly in isolation. However, the role requires significant interaction with others, including team meetings, client updates, and regular communication to ensure project alignment.
What is a common misconception about the salary of entry-level data analysts?
-A common misconception is that entry-level data analysts start with a salary of $100,000 per year. In reality, the average salary ranges from $60,000 to $80,000, with higher salaries typically requiring more experience.
Why should someone research job listings before pursuing a data analyst career?
-Researching job listings helps manage expectations about salary and job requirements. It ensures you understand the typical compensation and skills needed in your area, preventing unrealistic expectations about immediate high earnings.
How can someone prepare for the on-the-job learning required in a data analyst role?
-Preparing for on-the-job learning involves developing strong self-learning habits, familiarizing yourself with relevant tools and technologies, and practicing problem-solving skills. Taking courses or certifications can also provide foundational knowledge.
What advice does the speaker give to those considering a career in data analytics?
-The speaker advises researching job listings to understand the typical salary and requirements, being prepared for significant self-learning, developing patience, and being ready for frequent interactions with colleagues and clients.
Outlines
๐ The Reality of Becoming a Data Analyst
The speaker discusses the expectations versus reality of being a data analyst, emphasizing that it's not a career path for everyone. They stress the importance of being a self-learner due to the constant need for acquiring new skills independently. They share their own experience of entering the field without prior training in tools like SQL or Tableau, highlighting the necessity of self-education and problem-solving on the job. The speaker advises against relying heavily on colleagues for help, as everyone is typically busy with their own projects.
๐ฃ The Challenges and Frustrations of Data Analysis
The speaker warns that the role of a data analyst can be frustrating and requires a lot of patience. They describe various challenges, such as debugging code, locating data sources, and dealing with changing client requirements. These frustrations can make the job difficult for those who are easily irritated or impatient. The speaker highlights the importance of persistence and the ability to manage stress when dealing with such issues.
๐ค The Importance of Communication and Teamwork
Contrary to the belief that data analysts work in isolation, the speaker explains the significant amount of communication and collaboration required in the role. They discuss the need for regular interaction with team members, stakeholders, and clients through meetings, updates, and project management tools like Jira. Effective communication skills and the ability to work well with others are crucial for success as a data analyst.
๐ฐ Misconceptions About Salary Expectations
The speaker addresses the common misconception that data analysts can easily earn high salaries right out of the gate. They clarify that while some may achieve high-paying roles, the average starting salary for a data analyst is typically between $60,000 and $80,000. They caution against unrealistic expectations and advise potential analysts to research job listings and salary ranges in their area before investing time and money into certifications or courses.
๐ Final Advice and Encouragement
The speaker concludes by encouraging viewers to thoroughly research and consider the role of a data analyst before committing to it. They reiterate the importance of understanding the realities of the job, including the need for self-learning, patience, communication, and realistic salary expectations. The speaker invites viewers to share their own insights and experiences in the comments and looks forward to future discussions on the topic.
Mindmap
Keywords
๐กData Analyst
๐กSelf-learner
๐กSQL
๐กData Visualization Tools
๐กOn-the-job Learning
๐กImpatience
๐กCommunication
๐กStakeholders
๐กSalary Expectations
๐กDebugging
๐กJira Tickets
Highlights
Reality check on expectations of becoming a data analyst versus the actual experience.
Reasons why you should not become a data analyst, despite it being a good career path.
The first reason to avoid becoming a data analyst: not being a self-learner.
The need for self-learning in data analytics due to constantly changing tools and techniques.
The importance of independent learning, especially when lacking prior experience with SQL or data visualization tools like Tableau.
The significance of being able to find answers independently without relying on co-workers.
The role involves a lot of solo projects, requiring individual problem-solving skills.
The second reason to avoid the role: if you get easily frustrated or are impatient.
Challenges in the role include debugging code, locating data sources, and dealing with changing client requirements.
The third reason: if you do not like working with others, as the role involves constant communication.
The necessity of open communication with team members, stakeholders, and clients throughout projects.
Daily interactions include project updates, dealing with roadblocks, and updating Jira tickets.
The misconception that data analysts get rich quickly; typical entry-level salaries are between 60-80k.
Senior data analysts or above might make 90k+, but entry-level roles usually do not start at 100k.
Encouragement to research job listings and salary expectations before investing time and money into the field.
Transcripts
so today I want to have a reality check
on your expectations of becoming a data
analyst versus what it's actually like
being a data analyst So today we're
going to be talking about reasons why
you should not become a data analyst and
before we get into things I just wanted
to say that I am not trying to
discourage anyone from becoming a data
analyst I really think that it's a
really good career path to go down but
like with anything in any career path
it's not for everyone like you could not
pay me to do some other careers so
let's get into it
so the first reason that you should not
become a data analyst is if you're not a
self Learner in this role you really
have to learn a lot on your own so if
you're someone that may need a lot of
Hands-On help in order to complete a
task this may not be the best fit for
you things are constantly changing and
there's a ton of things that you have to
learn on your own in my situation I came
into this role with no prior experience
in data analytics so I had no I had no
training on SQL or how to use any of the
data visualization tools like Tableau
and click and I know a lot of people use
power bi I had no experience on using
any of those tools so for me I had to do
a lot of self learning on my own yes I
did get to do some like side by sides
and watch
um appear That's on my team as well as
watch my manager when he was doing some
of his projects but that wasn't what I
did all day every day in the beginning I
had to go out and pretty much Google
search a lot of different things I had
to learn how to do SQL on my own I had
to learn how to use Tableau pretty much
on my own so there's a and not to say
that's going to be the case for everyone
you guys may be like taking courses or
taking certifications so you're learning
in like kind of like a classroom setting
but that wasn't my experience and even
if you do learn those things in a
classroom type experience there's a lot
you're going to have to learn on the job
databases are going to be set up
differently the tools that your company
or these companies have are going to be
set up differently so there's going to
be a lot of on-the-job learning and you
can't really rely on tapping your
co-worker on the show on the shoulder
every time you need help with something
it's really something that you have to
be an independent learner and you have
to go out there and get the answers to
the information your first thought
should not be let me ask my co-worker
the answer to this and see if they're
going to figure it out or see if they
can help me out with this your first
first thought is really having to be let
me go in Search and try to find the
answer to this on my own because
everybody's busy in my role for the most
most part myself and my team we're doing
a lot of solo projects so they are
working on something completely
different than what I'm working on so
everyone is busy and has their own thing
going on and when you're asking someone
else for help with something you're
pretty much taking them away from the
project and the work that they have to
do that they have deadlines on so you
really have to have this mindset of
self-learning if you want to get into
the channel okay so I am editing this
video and I just want to add I'm not
saying that you can never ask your
co-worker for help I'm just saying that
that typically should not be your first
thought when you're needing help with
something or trying to find the answer
to something typically you want to try
and self-serve or find the answer on
your own before you reach out to another
now if it's something like they got the
data you need or of course reach out to
them like I hope that's kind of like
Common Sense common knowledge but yeah
if they there's going to be cases or
times where it's like this person I know
they have the information I know I need
to reach out to them definitely do that
but if it's like oh I'm trying to figure
out how to make this join work
Google it so the next thing is going to
be if you're someone who gets easily
frustrated or if you're impatient this
is a role you have to have a lot of
patience with patience with yourself
patients with these databases patients
with the tools because you're going to
run into issues in this job role you're
going to have problems with coding with
debugging with trying to find a freaking
data source sometimes like everybody's
trying to find out where the data is
there's like hundreds of tables and
Views that are out there and that can be
frustrating trying to locate data it can
be frustrating trying to debug your code
trying to figure out why things aren't
right it can also be frustrating working
with others when you're waiting on them
to provide you with information or
you're waiting on a client to sign off
on a project or you're dealing with a
client that is constantly changing their
mind on what they want and that can be
frustrating having to deal with someone
that doesn't know what they want and
you're having to kind of insert into
their project when they should be when
they should have that ready for you but
that's not how this works out all the
time so you may have to go through a lot
of trial and error working throughout
the project and your visualizations and
working with stakeholders and clients so
if you get easily frustrated or if
you're impatient this may not be the
best fit for you and tying into that the
next reason why you may not want to be a
data analyst is that if you don't like
to work with others I know for me when I
first got into this role I didn't think
that I would and this also ties into
communication you guys but when I first
got into this role I thought you know
like I always see people on their
computers typing with their headphones
on I didn't think that they interacted a
lot with others but you really do the
lines of communication have to be open
all the time throughout a project you
talk to people more than you think you
would and maybe more than you'd like to
you have to work with others you have to
work with people on your team you have
to work with your stakeholders or
clients you have to
update like we have like a 15 minute
daily scrum so I'm working with our
scrum Masters we're giving project
updates we're working through roadblocks
we're meeting with clients on status
updates on information we need things
that are happening we're having to
update our jira tickets on a daily basis
which keeps the client or stakeholder
updated on where we're at and then of
course they're commenting back on those
tickets for the most part to either give
you information or confirming where
you're at or possibly changing deadlines
you're going to be working with a lot of
people throughout your career as a data
analyst so if you're if you're not a fan
of talking to people if you're not a fan
of working with others this just may not
be the role for you so the next reason
why this may not be the best fit for you
is that you think that you're going to
get rich off becoming a data analyst I
feel like there's this common
misconception that when you get into
Data analysts like you take one of like
the data analytics certifications
you are going to get into an entry-level
role making a hundred thousand per year
now I have seen videos of people seeing
like they got their first data analyst
role making 100K But please understand
that is the exception that is not the
rule on average
data analyst roles are between 60 to 80k
like just go out on indeed go on
LinkedIn look at some of these job
postings I've seen some in my area that
are as low as 40K and when you look at
and read the job description what they
are really describing that they want is
a data scientist not a data analyst so
be mindful of that typically you'll
you're gonna see like a senior data
analyst or above making like 90k Plus or
even six figures on average that's not
typically the average of someone just
getting into data analytics so if you're
doing it thinking oh I'm going to take
the certification course and then I'm
going to start a job at 100k
please go look at job listings before
you wait like it to me before you waste
your money thinking that you're going to
take this course and then just go into a
100K job because that's typically not
the case average 60 to 80k range for a
data analyst which is still great money
and you can advance as you get into the
role longer you can make more money and
get into those higher ranges but
typically starting I just want to say
like that's not the norm that's the
exception that's not the that's not the
rule so I encourage you go out there
look at the job listings see what data
analysts or companies that you want to
work for or just local to your area are
making to see if that's something you
want to pursue before you invest your
time and your money into this I hope
that this information was helpful to you
if you're thinking about becoming a data
analyst just some things to consider if
you have some other points for anyone
looking to get into this role please go
ahead and drop account people out and I
will see you guys in my next video
[Music]
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