Video summary
This comprehensive free course is designed specifically for data professionals, shifting focus from technical hard skills like SQL or Python to essential soft skills that drive career success. The curriculum is divided into four core modules: communication, problem solving, collaboration, and time management, all taught by an instructor who shares personal anecdotes about his own struggles as an introvert. A central theme throughout the course is that data professionals spend the vast majority of their time communicating rather than coding, making it crucial to master eye contact, open body language, and a confident vocal tone while avoiding sarcasm or jargon when speaking with non-technical stakeholders. The course emphasizes active listening through follow-up questions and adhering to the "Keep It Simple, Stupid" principle to ensure clear emails and visualizations that highlight specific action items without ambiguity.
Beyond communication, the program teaches a structured approach to problem solving that moves practitioners away from a purely task-oriented mindset toward viewing work as a complex puzzle requiring business context. The instructor outlines a seven-step life cycle for solving problems, where the initial steps of defining, structuring, prioritizing, and analyzing rely heavily on soft skills like organization and creativity, while later steps involve technical execution. A critical lesson is the necessity of asking clarifying questions before starting work to avoid wasting time on unnecessary tasks or executing requests that differ significantly from actual business needs. This holistic approach extends to collaboration, where professionals must navigate diverse team dynamics, manage cross-functional projects using tools like Slack or Jira, and handle office politics by building relationships and seeking consensus rather than steamrolling decisions.
The course also addresses the vital skills of saying no, cultivating self-awareness, and maintaining a healthy work-life balance to prevent burnout. Professionals are advised to evaluate requests based on their importance and current capacity, politely declining low-priority tasks that make them mere "ad hoc generators" while proposing alternative timelines or delegating when appropriate. Self-awareness is defined as understanding one's strengths and weaknesses, often requiring honest feedback from managers or peers to identify blind spots, such as overestimating presentation skills until exhaustion sets in. Finally, establishing boundaries early on is presented as a sign of professionalism rather than weakness; if an employer refuses to accommodate necessary limits regarding family or personal time, it may indicate a toxic culture, signaling that the employee should seek a different position to ensure long-term fulfillment and mental health.
Read the full video transcript
What's going on everybody? Welcome back
to another video. Today I am releasing
my full soft skills for data
professionals course that's on Analyst
Builder and putting it on YouTube for
free. In most courses on my YouTube
channel as well as on Analyst Builder
and on other platforms is mostly
technical skills. You're going to learn
SQL and Excel and Python and a bunch of
other things. But soft skills are a huge
piece of how to actually get your job
done as a data professional. Right here
we have the course and you can see we
have four different modules. one on
communication, one on problem solving,
one on collaboration, and one on time
management. And so this is all of the
lessons that you're going to go through.
They don't just focus on only those
topics. Those are just the module
headers. I cover a lot of other topics.
If you look through here, uh there are
other things that are not just, for
example, time management. When I was
first starting out as a data analyst, I
would say I didn't have the best soft
skills in the world. I'm very much an
introvert. This is an area that I
struggled with personally, but
throughout the years, I've gotten a lot
better at it. And so I talk very
specifically about how I kind of
overcame some of those things and how
you can as well. If you struggle with
things like effective communication that
was not one that I was initially very
good at. If you like this course and you
want to check out any of my other
courses, I will leave a link down in the
description. I cover so many different
topics on Analyst Builder. And of
course, we have our coding section on
Analyst Builder as well, where you can
actually go in and you can select
questions and you can actually write out
your code in kind of whatever language
you want, whether it be Python, SQL, or
R and you can actually practice these
things. With that being said, I'm going
to show you the actual trailer for this
course. Then we're going to get into the
content of the course. And I hope that
you really enjoy it and I hope that is
helpful to you.
Hello everybody and welcome to the soft
skills for data professionals course
here on Analyst Builder. Soft skills are
arguably just as important as hard
skills, but can be a little bit more
difficult to measure as well as teach. I
have so many stories and examples to
share on almost all of these soft
skills. So, I'll be talking a lot about
what I personally experienced throughout
my career. And we'll talk a lot about
how you can improve your soft skills and
what to expect in a real job. This
course is very unique and not a lot of
platforms actually cover this topic. And
so, I'm really excited to dive into this
with you.
Hello everybody and welcome to the soft
skills for data professionals course
here on analyst builder. If you haven't
noticed on analyst builder we focus a
lot on the hard skills. So Excel, SQL,
BI tools and a lot of other things.
These things are absolutely needed in
order to land a job as a data analyst.
But something that does not get covered
a lot on almost any other platform is
soft skills. Honestly, soft skills can
be just as important as hard skills. The
difficult thing is that soft skills
aren't as measurable as technical
skills. With teaching SQL, I can tell
you you need to know the select, the
where, the from, but with soft skills is
a lot more subjective. So, in this
course, we're going to dive into soft
skills. And I'm going to give you a lot
of anecdotes and things that I've
encountered throughout my career. And by
the end of this course, you should have
a much better picture of what soft
skills you need and how to improve them.
This is a very unique course and I'm
super excited to get started on it with
you here on Analyst Builder.
Hello everybody. In this module, we're
going to be focusing on communication. I
think communication is one of the most
important soft skills, but I think it's
one that people struggle with the most.
So, in this module, we're going to cover
a ton of stuff on communication. In this
lesson specifically, we're just going to
be focusing on kind of an intro to
communication, why it's really
important. The first thing to know is
that you're going to be communicating
with people in a lot of different ways.
Unless you're an individual contributor,
you're most likely on a team. So, you're
going to have team meetings, you're
going to have standups, and you may be
giving presentations in those meetings
as well. But, of course, you'll also be
communicating just in person and via
email. So, there really are a lot of
different forms of communication that
you're going to need to kind of get good
at in order to really be effective in
your job. And this leads into the next
point, which is you're going to need to
be communicating with a lot of different
people in order to get most of your job
done. Now, I just threw in there 90%,
but sometimes it's 75%, sometimes it's
60%, sometimes it's 99% depending on
your role. This is probably the thing
that surprised me the most when I first
got started as a data analyst. I thought
I was going to be really technical, just
keep my head down, working on my
computer all the time. And I found out
very quickly that I am pretty reliant on
a lot of different people in order to
get the data, in order to collect the
data, to understand the data, to know
what I'm actually doing with this data.
And in every step of that process, I had
to communicate with a lot of different
people in a lot of different ways. And
so although I just wanted to be by
myself working and heads down and in the
database and getting in with the data,
that wasn't the reality of the job. And
so my expectations pretty quickly
changed after about a year or so. And I
definitely think that was for the better
because pretty early on I was getting
really worn out. I'm more of an
introvert myself. And so my expectations
were that I wasn't going to be doing a
lot of face tof face interactions. And
so since my expectations were so off, I
definitely was feeling drained at the
end of every single day. The last thing
to know is that if you're really bad at
communication and you don't work on it
and you don't improve at it that people
will dread working with you. And I have
had these people who I have worked with
in the past where if I knew I was going
to have to work with them, I was like,
"This is not going to be fun." Not
because their personality was bad, you
know, I worked with a lot of different
personalities over the years, but
because I knew that if I needed
something that they were so bad at
communicating. They were so bad at
relaying information and getting back to
me in a timely manner that it was just
not going to be enjoyable to work with
them. And you don't want to have that
reputation. You don't want to be that
person who's not good at communication.
Now, there's a lot of facets to
communication and the way that it's
presented and the way that you do it.
And we're going to cover a lot of those
things in the next several lessons.
Hello everybody. In this lesson, we're
going to be talking about communicating
effectively. Now, these are kind of the
fundamental things that I think you need
to know and really do well in order to
communicate really effectively in almost
any situation. Now, I'm just going to
tell you right now, I'm going to do some
things that might be a little goofy or a
little bit silly in this video. And I'm
kind of putting myself out there, but I
am doing it for you. I'm doing it for a
good reason. Now, some of you out there
may be excellent at communicating.
You're just naturally a good
communicator. I definitely was not. I am
very much an introvert. I get very shy.
I also get a little bit intimidated
sometimes and I just haven't in the past
historically communicated super well.
Over the years though, I have gained a
lot of confidence and I've also learned
a lot about just improving communication
in general. So, I'm going to share a lot
of those tips with you and we're going
to get pretty specific into actually how
to communicate, how to say things, how
to look people in the eye, things like
that that some of you may not need at
all, but there are a lot of people who
do need that. The first thing I want to
touch on is eye contact. Now, eye
contact is pretty difficult for a lot of
people. Just even if you are good at
communicating, it can be difficult to
maintain eye contact, but it does really
say a lot about how you communicate and
how you're going to be as an employee.
Now, I've gotten push back on this over
the years. I've shared this on my
YouTube channel. I've shared this on
LinkedIn. A lot of people will say,
well, you know, there are just different
types of personalities. I completely
agree with you. For some people, it is
just more difficult to maintain eye
contact. But it is definitely a respect
thing and it is a confidence thing. And
so this is something that you can
practice. Now I will tell you some data
roles are going to be presenting
information a lot. And in those roles
that is kind of where it is almost
required to give some type of eye
contact. This is what I used to do. I
used to give the presentation and then I
would kind of look down and be like and
so you know that's kind of what we
thought uh you know that are there any
questions? And I kind of like glance up
a little bit and I was very shy. I was
just inexperienced in giving
presentations. But over my career now,
this is what I do. I present the
information. I look them in the eye,
said, "And here's what we found." And I
kind of glance around the room at other
people, make eye contact with a lot of
different people. That shows people that
I am engaged with them. I want to make
sure they're engaged with me. It is a
really important piece. And for some
roles, if you're not able to maintain
eye contact, if you're not able to show
that in a meeting, it really takes away.
And honestly, I've seen that in a lot of
interviews where people just can't do
that. And I'm like, I know the kind of
role that we're hiring for and this is
not a person that would do really well
in this role. So that is why eye contact
is really important. I myself have had
to work on this. I am not naturally kind
of an eye contact person. My wife has
called me out on this many times, but
this is something that you can improve
on over time. This next point is going
to cover a lot of different things and
I'm going to read it really quickly.
It's going to say non-verbals, body
language, and tone to reinforce or
weaken your message. Now, this is super
important. I used to be a person where I
didn't use my hands and I'm looking at
myself in the camera. I didn't use my
hands when I talked. I wasn't very
animated and I was just kind of um you
know this is the information and this is
you know this is it. And I will tell you
I was not as good at communicating
information that I am right now. It's
taken a lot of practice. It's taken a
lot of work but it's made me a lot
better at communicating what I'm trying
to get across. So let's look at the
first ones. Non-verbals and body
language. So, when I'm communicating
with someone or they're communicating
with me, I am looking at their body
language. I'm also making sure I have
proper body language as well. If I sit
back, I cross my arms and I'm like, Mhm.
Mhm. Okay. Okay. Uh, that's a little bit
silly, but I've have talked to so many
people like that. It's very closed off.
It's very standoffish. You're not really
engaging in the conversation. Yes,
they're listening to you, but the person
who's, you know, acting like this and
just sitting back is usually not as
engaged as someone who's kind of leaning
forward. I kind of sometimes will, you
know, you can't see it right now, but
I'm just putting my hands on my desk.
Just putting my hands on my desk. I'm
listening. My body language is showing
that I'm engaged in this conversation.
Body language can also be just as simple
as looking at your phone. Right? If
you're disengaged and you're looking at
it and you're not paying attention, that
is body language. That is you actively
showing them that you're not listening,
that you're not focused. So, everything
you're doing does communicate something.
Now, when you're on a video call like
Zoom or Teams or something like that,
it's usually not as important. They
can't really see exactly where you're
looking. But body language just in
general, just making sure you're sitting
up, making sure you're looking. You're
not like laying down or arms crossed or
looking elsewhere looking at another
screen. You're actually paying attention
to the conversation. We also have the
tone of your voice. Now, I myself am
kind of a sarcastic person. I've had to
work on that a lot over the years
because a lot of times my tone and my
sarcasm gets me in trouble. And that has
happened in the workplace. And I've had
to kind of stop doing that because some
people don't pick up on those things.
They don't pick up on your tonality or
the pitch of your voice or the way in
which you say it. And I'm kind of have
dry humor. And so I have to kind of read
people. I have to say okay is this
someone who will understand what I'm
trying to say here or is this someone
who you know they don't typically
understand the tone or the sarcasm in
which I am saying. So this one is super
important and I'll give you an example.
Let's say we're in a meeting. You're
giving a presentation and at the very
end you're about to give your final
recommendation. You can say it in one of
two ways. The first one is going to
sound like this. And that's why I
believe we should decrease quarter 4
spending for marketing. Are there any
questions? Now, that didn't sound very
good because it was very high-pitched.
It was also not very confident. And your
tone is really weakening the message in
that example. So, now I'm going to do a
better example of what I think sounds a
lot better. And that's why I believe
that we should be decreasing our
marketing spend in quarter 4. Are there
any questions? That was a lot more
confident. My tone was much more even
keel and a little bit deeper even. And
so, even though the two messages were
the exact same thing, the tone changed
it completely. The first one was quite
weakening to my message. I really wasn't
confident and I wasn't sure if that was
even the right recommendation. At least
that's what I was presenting. The second
one sounded a lot more confident. And so
the tone does matter. The pitch of your
voice, the way in which you say it, the
inflection of your voice, all these
things do matter and they come with
practice. I promise you, I was really
bad at presenting information and
communicating way back when. The Alex
from eight or nine years ago is
completely different than the Alex now.
I've had a lot of opportunities to work
on these things in the workplace. So,
just believe me when I say it comes with
time, but you do have to identify, say,
this is an area where I'm weak. I need
to improve in this area. The last thing
I want to talk about is active
listening. And this does touch on body
language and non-verbals quite a bit,
but there are some other pieces to this
as well. Something that is quite
frustrating is when you're talking to
someone and like we were looking at
before, they're on their phone or
they're not just on their phone, they're
not looking at you in any way or they're
sitting there, but they're kind of like
but it doesn't seem like they're
actually listening to you. I don't know
about you, but that frustrates me. I
want someone if I'm telling them
something, especially in kind of the
professional business world. If you're
talking about something, it's probably
important and they should be listening.
And so, if they're not actively
listening to you, that can be
frustrating. So, you don't want to be
that person. You want to be someone that
shows that they're actively listening.
Now, here's what this kind of looks
like. Now, let's say you're talking to
me right now. Go ahead and ask me a
question. I know this sounds silly, but
go ahead and ask me a question.
I don't know. I absolutely agree with
that.
Why do you think that was
now? All right. That was super silly,
maybe even a little awkward, but I was
doing it to show you that even though
we're not having a real conversation, I
can kind of seem like I'm having a
conversation with you because of my
non-verbals, the things that I'm saying,
my follow-up questions. These are things
that show I am actively listening to
you. You don't have to go overboard with
it. You're just trying to show that you
are actively listening to that person.
Asking follow-up questions and saying,
"I agree with that." Or maybe you have
some type of comment on what they're
saying. These are things that show that
you're interested in the conversation
and that you are actively listening.
Now, for you, that may have all seemed
really silly and kind of obvious, but
for a lot of other people, it's not so
obvious and it is things that they need
to improve on and they need to work on.
So, I really hope that that was helpful
to you because I know that this is not
something that everybody excels in and I
promise you it's something that you can
work at.
Hello everybody. In this lesson, we're
going to be talking about communicating
results to non-technical stakeholders.
Nontechnical just means that they are
not someone like a data analyst or a
data scientist or a data engineer, a
data professional that's really going to
understand how the data is stored, where
the data is coming from, how the
cleaning process works, how the data is
sitting in the database. Most of the
time they're not going to understand
that stuff at all. They do often times
understand the data in general. They
know that that is data that they may be
collecting. They just don't understand
the full process or the technical
details of everything that you've done
in this project. This is something I
would say I've really excelled at over
the years because I myself came from a
non-technical background. I didn't know
anything technical at all. And so I
really understand the mindset of just
not getting it right, just not
understanding it. And so I feel like
over the years that's kind of been my
sweet spot of kind of explaining things
to people who just don't get it or don't
come from this background. So I'm going
to give you some tips that I've learned
over the years on how to actually do
this really well. The first thing is to
present your information in a really
simple way. Now look at these two images
on the left hand side on this top one.
This is a great way to visualize data. I
actually kind of really like how this is
presented, but I'm a technical person. I
understand this. And if you've taken any
of my data visualization courses or
lessons, this should make a little bit
of sense. Even not 100% knowing the
data, you can look at this and see, oh,
I see some trends or patterns or, you
know, I can kind of understand what this
means. To someone who doesn't, to
someone who's never done this before,
who's non-technical, this is an absolute
nightmare. You would have to explain
super in-depth how this works, what the
colors mean, what the x and the y-axis
are, everything, so that they would
understand this. But let's take a look
at the one below it. This one is super
simple. Almost anybody who's looked at
any basic chart or graph is going to
understand this. And so when you are
presenting to non-technical people or
you're building a dashboard or insights
or a report for non-technical people,
the simpler you can make it, the better.
The next thing to do is to really adjust
how you're explaining things based off
of who you're presenting to. I'll
present information very differently to
a non-technical group of people than I
would a technical group of people. For
my technical group, I might go a little
bit more in depth. They're going to
understand the nuances and kind of the
data cleaning process or maybe how we're
storing the data. These things might be
relevant in the conversation or we may
even talk about how we're extracting the
data because they might understand it
and say, "Well, have you thought about
this? Have you thought about doing
this?" But with a non-technical group of
people, all that jargon, all those
buzzwords and keywords that technical
people are going to understand, they're
going to get completely lost and
overwhelmed. So, the explanation should
be a little bit more simple. Now, don't
patronize them, right? They're not dumb.
They just think differently. Oftentimes
I might use some type of analogy or
something like that if I think it's
appropriate. But understand that they're
not stupid. They just think about things
in a different way. They're
non-technical, but they are probably
quite intelligent. Something I'll do
when I'm presenting information or when
I'm doing visualizations is sometimes
I'll show the underlying data. Right?
Here's the data. Here's where it came
from. Here's how we got it. Maybe I'll
drill down into a visualization to show
some of this underlying data. And
non-technical people most of the time
aren't really going to understand this
or they're going to have so many
questions because since they don't
understand, they're going to ask all
these different questions that have no
relevance to the information that you're
presenting. They're going to raise their
hands. They're going to say, "Why is the
data look like that?" And you're going
to say, "Okay, well, here's what I did.
I took the raw data. I aggregated the
data and then we did this to it." And
they're going to say, "Well, why did you
do that? Why did you need to take that
out?" And then you have to explain your
whole thought process. sometimes in a
presentation that might have a place,
but more often than not for
non-technical people, you're going to
confuse them. And so adding underlying
data can be really powerful depending on
what you're presenting. Most of the time
though, especially for non-technical
people, I do not include it. I keep the
visualizations pretty simple. I keep my
explanations fairly simple as well. In
the end, the recommendations may be the
same to both groups, but I'm just
presenting in a different way. As the
great Michael Scott and Dwight Shroo
said, K I SS, keep it simple, stupid.
This is something that everyone should
live by just in general as it comes to
communication and presenting
information, but it really is true. The
simpler you make it often times the
better it is. These are a lot of the
things that are going to help you
present to non-technical people a lot
better. So, I hope that was really
helpful. If you're already in a data
job, right, you're already a data
professional in some way, then try these
things out. The more experience you have
doing this, the better you're going to
get.
Hello everybody. In this lesson, we're
going to be taking a look at writing
clear emails and reports. Now, this is
something that every single data
professional in some way is going to
have to do. I'm also going to toss in
here a little bit about just messaging
people on things like Slack or Discord
because you do communicate quite a bit
through those channels as well. But
often times, especially for, you know,
more professional correspondents, when
you're messaging clients, when you're
messaging managers, oftentimes that is
done through emails, which is why the
primary focus is going to be on emails.
In this lesson, the first thing I want
to say is how you write does have a
reflection on who you are and how you
communicate. These things are really
important. I have worked with people in
the past do like that shorthand. Instead
of writing a r e for r, they write r. So
they'll say R and then the letter U and
it's like shorthand text message but
they do that in emails. They do it in
everything. I myself as well as I know
others do really frown upon that and
kind of look down on it a little bit.
It's like come on. It's not that much
more difficult to write it out properly.
But that is something that some people
do and I highly recommend you do not do
that. I'm of the mind that 99.9% of
communication, any type of writing needs
to be done really professionally. So
whether that's email or messages on
Slack or Discord, these need to be
professional. But you know, there are
going to be times where you get really
close with one of the data engineers or
something and you just shoot them a
quick message and you say LOL and then
you go on your way and that's totally
fine because you guys are buddies.
That's a totally fine thing to do. But
anytime you're interacting with any type
of client or stakeholder or manager or
CFO or anything, you definitely want to
write really well. Often times in
writing emails to clients, things get
lost in the details. They said something
off-handedly in one part of the message,
but it wasn't really communicated that
that was something that you actually
need a deliverable for. Something that I
have gotten in the habit of doing, and I
do this in almost all my meetings,
especially when I'm talking with clients
or, you know, consulting people that I'm
working with now, is I will write out my
full email and at the bottom I'll say
action items for me. And then I'll say,
"Is there anything that you need to add
to this list?" And the action item for
me is going to be things that I know
that I'm going to be doing. and then
they have the expectation that that is
on my plate and is something that I will
get back to them with. It has worked
remarkably well for me and I've been
doing that for maybe the past 3 or 4
years. I didn't do it for a long time.
But I found that when I start making
action items, when I start listing these
things out, it is very clear and is very
easily understood what I'm supposed to
be doing. And sometimes I'll even write
action items for other people as well.
But most of the time it's for me, right?
As the consultant, as a data
professional, often times I'm the one
doing a lot of the work. So that's
typically what I'm putting at the
bottom. If you look at this example on
the right hand side, there are two
separate emails here. And I think this
is a pretty good example of what I'm
talking about. The first one says, "Hey,
I wanted to let you know about the
meeting and the project report. It
should be submitted soon. I think it's
an exaggerated way of saying there isn't
anything concrete or clear in this
message. I think you need to get that
report to me soon. We have a meeting. I
don't know what time it is." But then
look on the right hand side. It says,
"Hi Jordan. Here's a quick update.
Meeting on Thursday at 2 p.m. Submit the
project report by Friday. Please review
the draft. Best regards. Very
professional, very specific, and very
clear. There's no misunderstanding with
these bullet points. And that's what I
personally do, and I really appreciate
when other people do this as well. Now,
this just may be my personal preference,
although I have worked with a lot of
other people who have done the same
thing, but I highly suggest that you do
it because you want to be communicating
effectively. And if you start doing
this, you start implementing this in
your emails, people are going to be
like, "Okay, this person's on top of it.
This person knows what they're doing.
this person has clearly communicated to
me. I appreciate that. And so if you
aren't doing it, I think you should do
it. Again, that's just my
recommendation. If you have a better way
of doing it or something that's really
worked for you, continue doing that. But
if you're like on the left-hand side and
you're not doing super well, definitely
try out communicating and writing emails
like this. The next thing is to avoid
writing things that could be perceived
incorrectly in emails. As we all know,
we've sent a text message or we've sent
a message to someone that in our heads
had a specific tone, right? You were
trying to say it in a really positive
way. Then the other person, they took it
in the totally wrong way. There's this
really funny and peel sketch and if you
don't know them, they are comedians, but
they are messaging each other and
they're text messaging and both their
tones are completely different. He's
like, "Yeah, buddy, let's go." And the
other guy's taking as like, "Yeah,
buddy, let's go." Like, "I hate this
guy." And that happens over email as
well. that just miscommunication happens
all the time. And so, anything that
could be perceived in a really negative
way, I'd recommend rereading your email
and trying to write it in a different
way. I definitely do not recommend
writing anything sarcastic in emails. I
am a sarcastic person. That has gotten
me into trouble a few times in the past
if I'm being completely honest. And so,
I don't recommend doing that because
again, the tone in emails is completely
different than the tone when you're
talking. They can interpret things and
read things very differently than how
you are actually writing it. And if
you're trying to add a lot of tonality
into an email, that can be changed
depending on the reader. The last thing
is highlighting important information.
Now, oftentimes emails that I would get
are like super super long. I mean, they
just keep going. And sometimes I don't
always read it, right? There's a lot to
it. Maybe it's just seems like skippable
and I can just skip down and I can just
keep going. But people are going to do
that in emails. And so I will highlight
or I'll just, you know, bold it or I'll
make it darker than all the other text
to where it draws the attention of
someone who is reading it. This is a
super simple trick that I think is
really important. I also sometimes will
highlight or bolden the action items at
the bottom just to make sure that
everybody sees them and we're all on the
same page. In general, when
communicating through email or messages,
keep it pretty professional. Be very
specific. Don't use a lot of technical
jargon. Don't get too sarcastic or use
too much tonality in your email. and
provide action items and bullet items. I
know that you may not like that, but a
lot of people do. And so, I highly
recommend at least trying it out to see
what people think. And if you get good
feedback, then keep doing it.
Hello everybody. In this module, we're
going to be focusing on problem solving.
By definition, that just means solving
problems that are complex. And some
people are naturally gifted at this, and
some people need to learn this. And this
is a skill that can be learned. Before I
became a data analyst, I don't think I
had the best problem solving skills. But
now that I've been doing this for many
years, I look at a lot of situations
completely differently. In this module
and in this lesson, we're going to talk
about how we can get better at problem
solving. Now, in this lesson
specifically, we're going to be talking
about how you can get an analytical
mindset. Now, when I say analytical, I
don't mean you're thinking like a data
analyst. Because even though I am from a
data analyst background, I know a lot of
other people who have really benefited
from this analytical mindset. People who
are data engineers or software
engineers, just data professionals in
general can really benefit from this.
Probably one of the biggest things that
you can do is you can change your
mindset from this is a task that needs
to be completed. This is just something
I have to do into this is like a puzzle.
This is a mystery that needs to be
solved. This turns you more into a
detective trying to figure out the
solution rather than just an employee
who just needs to get it done. I used to
work at a healthcare analytics company.
It was one of my first jobs as a data
analyst. And one of the mistakes that I
just immediately started making was
saying yes to things, right? I didn't
ask any questions. And so someone on my
team would come to me and say, "Hey,
Alex, can you go and look this up in the
database?" And I would say, "Sure, why
not?" And then I would look it up and
I'd send it to them. I wouldn't think
twice about it. And often times when I
actually sent it over to them, they were
like, "No, that's that's not what I
meant. I actually kind of wanted this or
that's not really what I was looking
for. I don't really know exactly what
I'm looking for." And part of my role as
a data analyst was not just to do what
everyone says. They're not just giving
me tasks to do. They may come to me with
information, but something that I need
to consider, something I really need to
think about is I need to think about
what is the business impact of what
we're actually trying to do. And so, as
I got into the role more, as I started
getting a little bit more confident in
my abilities, I started asking
questions. I was like, why do we
actually need that? What are you going
to be using that for? What does this
connect to? Are you getting this for a
specific client? What do you need? As I
started asking these questions, the
picture of what they actually wanted
became a lot more clear. and what they
were asking for wasn't actually what
they needed. That's just what they
thought they needed because they didn't
know the data as well as I did. Now,
that is a big part of having this
analytical mindset is just digging in,
trying to figure things out, trying to
piece all of this information together.
But once you actually start getting into
it, you may encounter some issues. You
may start trying to put all these pieces
together and find out that you just
don't have the data available or that
you can't answer that question in some
way. What you need to do is you need to
take a step back. Can you look at this
from a different perspective? If not,
maybe you need to go to them. You need
to communicate, hey, here's what I've
done. But because of the data or what
they're trying to solve, you can't do it
with what you have. And so, you need to
come up with other solutions. As I got
more experienced, this became even more
important, especially as I got to larger
companies when I had to really dig in.
There were so many different layers and
levels and people to talk to. I really
felt like I was solving these complex
issues. If you're looking at these
things as just a task to do, you're
going to hit a roadblock and you're just
going to give up on it or you're going
to say, "Nope, that task can't be
completed." But when you're thinking
about it in this mindset, you're going
to find ways. You're going to put pieces
together and you're going to figure out
a way to solve it. In the next lesson,
we're going to dive into the problem
solving cycle and how you can improve on
this skill.
Hello everybody. In this lesson, we're
going to be taking a look at the problem
solving life cycle. Now, all this is is
a way to visualize solving a problem.
What I used to do when I first became a
data analyst is I would just jump into
the data. I wasn't really thinking long
term or that far ahead or really solving
a specific problem. I was just like,
"All right, let's jump into the data and
see what I can find." Looking back, that
wasn't the smartest thing to do. And in
fact, I can remember specific instances
where someone would send me something in
an Excel file. I would do all this work
and do all these different things to it,
and then I would hand it back to them.
They were like, "This isn't what we
wanted. This actually isn't the right
thing at all." And my heart just sank. I
was like, "Oh jeez, I absolutely messed
up." Because I didn't actually know what
I was doing. This problem solving life
cycle will help you identify what you
need to do before you go and make
mistakes like I did. So let's take a
look at this life cycle. We have number
one, define the problem. Number two,
structure the problem, prioritize the
issues, develop issue analysis, conduct
analysis, synthesize your findings, and
develop recommendations. Now, this may
sound complicated, but it's actually
quite simple. Really, what you're doing
is is you're starting by figuring out
what you're actually going to be
solving. If you know what you're solving
before you dive into the data, you are
10 steps ahead of most people because
you'll already know what you're looking
for and what you're actually trying to
accomplish. The next several steps are
really just about making sure you're
going to be doing things in the right
way. Often times requests aren't just
one request. It's 1 2 3 4 five different
requests kind of bundled into one
question or one thing. And what you need
to do is you need to sit down and say,
"Okay, if I was only able to solve one
of these things, what would I be wanting
to solve?" And then you prioritize and
you focus on that thing. Of course, you
want to solve everything, but you're at
least getting the main chunk of it, the
big ticket item out of the way first.
Next, you're going to actually dive into
the data and try to figure out what you
were trying to solve. Notice that this
is number five. You have four different
steps ahead of you where you're actually
getting things ready and identifying
what you're supposed to be doing before
you actually dive into the data. After
that, you're going to dig in. You're
going to find your insights and develop
your recommendations. It may not always
be a recommendation. Sometimes it is a
report. Sometimes it's data cleaning. It
doesn't matter exactly what it is, but
in the end, you're going to produce
something. Those first four steps before
you actually dive into the data is
really important. It helps you break
this larger task into smaller chunks.
They're a lot more manageable. I myself
get overwhelmed somewhat easily, and
that's just a personal trait of mine. If
I get these huge tasks, I'm like, "This
sounds and looks impossible. How am I
ever going to solve this?" But I found
that breaking it up makes it a lot
easier. The last thing to note is that
this is a cycle. It just keeps going. So
even though you go from one all the way
over to seven, doesn't mean you're
completely done with everything.
Oftentimes, they're going to come back
with feedback. And you have to take that
feedback and you have to define a new
problem. You have to kind of shift what
you're actually looking for and how you
break things up. And this is something
that is going to happen. You're not just
going to do it one time. You're often
going to go through this process one,
two, or three times for certain larger
tasks until you actually get what you're
trying to solve. Steps five through
seven are usually the technical pieces,
right? You're getting into Excel, SQL,
visualization, and all these different
things. But steps one through four,
those are the soft skills. Those are
where you're organizing everything and
actually getting into that creative
problem solving space.
Hello everybody. In this lesson, we're
going to be talking about how you can
ask the right business questions. This
is something that is unique to every
single company, every industry, every
department, every team. But asking
questions is an essential part of
solving these complex problems. I'll
give you an embarrassing story of
something that happened to me many years
ago and I just wasn't asking the right
questions and I was I was very
embarrassed. I'm just going to be
honest. But it was early on in my career
as a data analyst and my manager was,
you know, seeing some potential in me
and he's like, "Hey, I want you to take
something over. It's this Excel report
that we submit to our biggest client
every single month and I want you to
take it over." And I was like,
"Awesome." I wanted more responsibility.
I wanted to show that, you know, I knew
what I was doing. So, I took it and I
was like, "All right, I will do this."
So all he did was is he showed me one
time how he got the data, what he did,
and how he did it, and that's it. I
never asked any questions. He just
showed me what he did. He showed me the
process. So the end of the next month
rolls around and I need to create this
report. So I do what I think is exactly
what I was supposed to do. I just kind
of followed his steps and I got it and I
sent it out. One thing I should have
done first is I should have had my
manager review it to make sure I didn't
miss anything. But he was pretty
confident in me. I felt like I had it.
So, I sent it out. I get an email back
maybe the next day and they're like,
"Hey, Alex, the numbers are totally off
on this. This number's wrong. This
number's wrong. This number's wrong.
This number's wrong." They're like,
"What's going on?" My boss immediately
comes over to me. He's like, "Hey." He's
like, "Show me what you did." So, I
start, you know, going through the
process. Here's what I did. And he's
just like, he's like, "Alex." He's like,
"Yes, you did the steps I told you, but
there's a few other things." He's like,
"The reason we do some of these things
are for these reasons, and the reason we
do some of these are the for these
reasons, and we actually need to perform
this type of calculation in these types
of events." I didn't know any of this. I
didn't really even know what to ask. And
so, looking back, I should have done a
much better job of asking questions.
Where do we get this data? Why are we
presenting this information? If
something like this were to happen,
should I calculate in a different way?
These are things that I should have
known. I will also say that because I
was so new, I think my manager, just
being in a managerial position, having
done this report a lot of times, should
have given me a little bit more info. In
the end, there was a lot more business
context and things that I should have
been aware of that I just wasn't. And I
looked really foolish and I felt really
stupid. Now, in the next one that I
sent, right, I redid the whole thing. I
checked with my manager. We ran through
a bunch of stuff. We checked everything
before we sent it out and that went a
lot better. So, that's an example of
when I failed, when I should have been
asking a lot of questions. I just didn't
even know. I didn't ask any questions.
Now, I'm going to give you one more
example of a time where I should have
asked a lot more questions. I was
working with this lady and her name was
Judy. And Judy was great. I've been
working with her for a long time, but
she comes over to my desk in like a
frantic panic. And she's like, "Alex,"
she's like one of our biggest clients, a
different client called. They need this
and this and this and this and this. And
she's like, "They need it now. It's like
super important for some reporting or
some other thing. So, I just get to
work. I basically asked zero questions.
I'm like, "Oh my gosh, this sounds
really important." So, I get to work. I
am working, working, working. I dropped
all my other stuff. I'm working,
working, working. I stayed late that day
and then I came in early the next day
and I was working, working, working. I
got everything together. I brought it
over to Judy. Judy, bless her heart,
tells me they actually don't need that
until next month. And some of the things
that they were requesting, they didn't
actually need. And so, thank you, Alex,
for doing that, but we don't really need
this anymore. I don't want to tell you
how my wife reacted because she was not
happy, but I did try to handle it as
professionally as possible. It's just
like, oh, okay, you know, no problem. I
understand. You know, that's great to
hear. But I didn't ask any questions.
That's kind of on me, too. But of
course, my wife blamed Judy. Thank
goodness. But I should have been asking
a lot more questions even in this quote
unquote emergency, right? Why do they
need this? What do they need this for?
When is the reporting date? Let's go
back to our clients before I do, you
know, 6 7 8 9 hours of work. Let's go
back to our clients and make sure that
we are all on the same page of what we
need and when we need it. I could have
saved myself over a day's amount of work
if I just asked some follow-up
questions. And we probably would have
gotten to that conclusion that we just
didn't need it right now or some of
those requests weren't actually needed
if I had just asked the right questions.
Now, I have countless other examples of
when that's happened, but they may be
more embarrassing and I just don't want
to share them. But I've done that a lot
where I just didn't ask the right
questions. Something that's important to
know, 90% of the time when someone comes
to you with a request, it isn't exactly
what they're requesting, right? It's
going to be slightly different or
sometimes very different. This happened
a lot when I was a manager of analytics
in the IT department. We had all these
different teams asking us for all these
different visualizations. And sometimes
I would go to them and I'd get in these
meetings and I'm like, "Okay, let's ask
some questions." And I would ask these
kind of more in-depth questions and they
would realize, "Oh, we don't actually
need a dashboard for that at all. We
don't. we just need this one report
being sent to us. That's actually what
we care about. But if I didn't ask those
questions, my team would have been doing
a ton of really unnecessary work. And so
the most important thing when you get in
there is to start asking questions. Why
do you need this? When do you need this?
What business problem is this solving?
Understand the business needs of what
they're actually trying to solve with
what they're requesting? Because
sometimes they're requesting something
that will not actually solve their
problem at all. It is very common in
business culture when someone else is
doing the work. for example, my team was
the one who was going to build it and do
the work. It's very common for people to
just request things. Even if they aren't
100% sure if they need it, they'll at
least have it. And so, it's really
important for the people who are
receiving the requests to make sure that
you are asking questions before and that
you understand the business impact of
what you're about to build. I promise
you this is a very real thing where
you'll build a 100 dashboards and people
only look at one of them. It's because
so many dashboards get built for
absolutely no reason. they just get
requested and somebody builds it, but it
doesn't actually solve any issues,
doesn't have the right data, doesn't
have the right filters, it isn't the
right report or whatever it is. Doing
this right here, always asking
questions, even when you might look a
little bit stupid, just to clarify. That
is important. Just to clarify, this is
what you're requesting, that is still a
very important process.
Hello everybody. In this module, we're
going to be talking all about
collaboration, and that's how you work
with other people within your role. In
the next several lessons, we'll talk
about very specific things, but in this
lesson, we're going to talk about just
how you collaborate with people in
general. Now, there are going to be some
unique times where you are the only data
person working at your company. They
typically call that an individual
contributor. But even when you're the
individual contributor, the only data
person, you're still going to be working
with a lot of different people and a lot
of different departments or teams.
Typically though, you are going to be on
some type of data team. Whether it's
just with a manager or there's one other
analyst or you're working with a data
engineer or a data scientist. Typically,
you're going to be on a team of about
two to seven people. Within that team,
there's often a lot of different roles
as well as a lot of different types of
employees. So, sometimes it's full-time,
sometimes they're part-time, sometimes
they're your manager, sometimes it's
contractor. And those roles are going to
vary greatly. Some people are going to
be data analysts or project managers or
business analysts or data engineers or
data scientists. And I could go on and
on. So, the combinations are quite
endless. Sometimes you have a lot of
contractors on your team. Sometimes you
have a lot of full-time employees on
your team. Sometimes it's part-time
employees. And so, the dynamics can
change depending on how many or what
kind of people you're working with in
your team. With all these different
roles, there's a lot of collaboration
that takes place. Now, one of the things
that you're going to have in almost
every team is some type of standup. I
used to do daily stand-ups, but some
teams may only have a weekly standup
where they do it on Monday or some will
have it two times a week. But often
times you're going to have some type of
standup. If you haven't had a data job
before, I think this image on the left
hand side is pretty indicative of what a
daily standup kind of looks like.
Everybody gets together either virtually
or in person and you just give updates
on what you're currently working on. So
you're going to say, "Here's what I did
yesterday. Here's what I accomplished.
Here's what I'm working on today. And
here are some roadblocks or maybe some
things that I'm trying to resolve."
Everybody goes around and does this and
you kind of get updates from other
people. And sometimes you can ask, "Hey,
John, uh, you know, I'm working on this
project. Have you made any progress on
that?" and they're like, "Oh, well, I
haven't because you know, this person
hasn't emailed me back." That's very
common. And so, that's the kind of daily
standup that typically happens at most
companies when you're working in a team.
It is important to understand everyone's
role within your team because some
people are full-time, some people are
contractors. Some people are data
engineers or some people are business
analysts. And so, the dynamics can be
very, very different with every team.
When someone is a full-time employee,
they are going to act a little bit
different than something like a
contractor. Contractors don't have to
follow all the exact same rules as a
full-time employee. Depending on the
contract that the contractor signed,
they may not get all the days off that
you get. They may also have different
PTO. They may have different work hours.
And so, these are things just to take
into consideration. So, understanding
your team is really important. It helps
you understand who you're supposed to go
to for certain projects and products.
Hello everybody. In this lesson, we're
going to be talking about working within
a crossf functional team. A cross
functional team is actually quite
simple. It's just combining your team
with another team and having some type
of mix in there. This often happens when
there are very specific projects where
both of your departments are needed or
both your teams are needed, but you
don't probably need everybody. So,
you're going to take two people from one
team, two people from your team, and all
of you guys are going to work together
on this project. This can be a very
unique experience, both positive and
negative, and I have had both in working
with these types of projects. But it is
a little bit different than working just
within your team. Within your team,
you're going to know everybody. You're
going to have some type of, you know,
relationship with them. But when you're
working on crossunctional teams, you're
going to be working with a totally
different personality, a different
background from that person's education
and work experience. Now, within your
crossunctional team, you're probably
going to set up some type of messaging
system. Now, this is true within your
internal team as well. That's kind of
expected, but you're typically going to
set something up just for this new team.
So you might set up a new Slack or
Discord group just for that group who
are working on the project. You may also
have a scrum master assigned to this
project. Now I haven't talked about
scrum masters before, but I'm just going
to briefly mention what they are. A
scrum master is kind of like a project
manager. If you want to be a scrum
master, there actually is some
certification that you have to go
through in order to be called a scrum
master. You could think of them as just
somebody who leads a project or kind of
organizes for that project. And so when
you have your daily standups and you're
working within this cross functional
team, you may talk to that scrum master
for that project every day or every week
depending on, you know, how much time
you're putting in into this project.
With that, you may also have something
like Jira or Confluence where you are
actually tracking all of the work for
this project. As much as I really don't
like all these project tracking
softwares like Jira cuz I used that for
many years, they are actually helpful.
And so when you're working within teams,
you typically are going to be doing
that. This is a skill that you kind of
have to get used to. As you do these
stand-ups, you start being able to
easily update them on what you did, what
you do, what you're working on, any
blockers, and asking questions in
stand-ups. This is something that you
just kind of get better with with
experience. As I said before, I've had
good experiences working on
crossunctional teams. I've also had bad
experiences. Looking back, there were
sometimes I had expectations that I
would be leading this project because it
was my project for the past 6 months,
but then we had to bring someone on from
another team and then they were part of
that and then they started, you know,
trying to lead it and that caused
conflict and these things happen. And so
setting clear expectations at the front
is actually a really important process.
You don't want to get two or three weeks
into this new project working with these
new people and all of a sudden you're in
this kind of like power dynamic power
struggle of no, I'm leading this
project. No, I'm leading this project.
And so looking back, I do wish on some
of these projects where I was working
with, you know, new people I had never
worked with before that we had kind of
just set those expectations at the
beginning. If you're working at any
medium-siz or large company, you are
going to work on crossunctional projects
or in cross functional teams. My biggest
recommendation is just kind of going
with the flow. Be pretty easygoing for
the first week or two as you get to know
everybody as these expectations get out
there. But definitely voice your
opinion. Try to, you know, get involved
in the project, make yourself known, and
of course be as polite as possible. But
as we talked about in one of our first
modules, the communication has to be
really good. And so if you don't have
that communication when you're working
on these types of teams, it's going to
be even more difficult than if you're
just working within your internal team
where they already know you and they
kind of have an expectation of how you
communicate.
Hello everybody. In this lesson, we're
going to be talking about managing
expectations and feedback. Now, this can
be very, very difficult. I have had
experiences in the past where I've done
very well in this area and I'm like,
man, I just nailed this. I knocked it
out of the park. Then there are other
times where I think I completely failed.
And so I'll talk a little bit about some
of those experiences over the years. But
this is a very important part of working
in a team and collaborating. One of the
most important ways to manage
expectations is to set expectations
early and often. Setting clear goals and
timelines really help alleviate a lot of
people's stress because a lot of people
if they don't know when things are
supposed to be done, if you feel behind,
these things can cause a lot of stress
and anxiety within a team. So, I'm going
to tell you a story of a time where I
think I did really well with managing
expectations in a very high stress
environment. This goes back where I was
a contract to hire position at a Fortune
500 company. And I was in this contract
position. I was hoping they would hire
me on full-time, but I wasn't sure yet.
But one of our senior directors comes
into a meeting one day and they are just
really frantic, right? And they say,
"Hey, we had to fire this whole team uh
who did this specific thing." And I'm
sitting there and I'm just listening and
you know, I'm new to the team. I've been
there for maybe 4 months and my contract
was for 6 months, but I'm 4 months into
this contract. And so they come in and
they say, "This team was doing really
bad work. You know, they messed up a
bunch of stuff. All of our clients were
really unhappy. So we fired them all.
But what happened is is the work that
they were doing needed to be submitted
within the next like 2 months and that
was like really big deal. It was
something called MIPS and that has to do
with healthcare and submitting all these
measures and everything. Now
coincidentally enough in my last job I
had done that. I had done that for like
2 years. I knew everything about MIPS
and I had done that with a lot of
different hospitals and doctors and all
these things. And so I raised my hand
and I was like hey are you talking about
this kind of MIPS? And so we started
talking, we start going back and forth
and they realize I am the only person in
this entire team who knows anything
about this. So I say, I'll take that
project on. I would love to lead that.
And so I go from being just a contract
to hire position to being kind of a
leader on this big project. And this is
like a multi-million dollar issue that
they are trying to solve cuz MIP when
you're submitting for hospitals, that's
how they get reimbursed for a lot of
their money. And so they want to meet
these measures and they want to get a
big reimbursement in the millions of
dollars per hospital. And so I'm taking
on this really massive project. So I
start assembling this team of other
people who I think might be good for it.
I need a data engineer. I need a
software engineer. I need a data
analyst. I need a business analyst. And
I start bringing people onto my team.
Well, we have a very quick deadline. I'm
talking 2 months of doing 4 months of
work. This is a big process. And so I
start delegating. I start setting
expectations. I start setting deadlines.
And I tell here's what we have to do in
order to meet this deadline that the
government has set. Because if we don't
meet it, our clients all lose a ton of
money. Now, this was a very stressful
two months, but we got it all done. And
I will say that my team did amazing. We
missed basically no deadlines. We
finished all the work in those two
months and we got everything submitted
on time. When that project wrapped up,
they were very impressed with how I
handled everything and how I took charge
and how I managed expectations and got
everything done on time. And because of
that, I went from a junior data analyst
contract to hire and they promoted me
twice into a data analyst 2 position. I
was only 3 years into my career, but I
had to do this exact thing. I had to
kind of take a leadership role early on.
I had to set really clear expectations
and goals and timelines. Then we had to
manage that and meet it. And it was very
tough, but it was one of the best things
for my career. All that being said,
creating clear goals and expectations is
super important when you're working
within a team. Now, when you're working
on these projects, sometimes your
timeline is going to get off. Often
times you'll think something takes a
week, but then it takes a month. And
that happens, right? Once you start
getting into the details, once you start
digging into the data or maybe you're
waiting on something from another
client, sometimes you just get behind.
And so communicating early and often is
also really important. If you are behind
on something and someone is waiting on
that, right? You're waiting on your
reports or they're waiting on your
visualization or whatever it is, if they
just don't get it, they are not going to
be happy. But if you just send them an
email saying, "Hey, here's what
happened. Here's why we're behind. I'll
get that to you by this day." And set
kind of a clear expectation. and I'll
get it to you in, you know, 3 days, 7
days, whatever it is. That will really
help alleviate a lot of the issues that
come with working within a team. If you
look at this image on the right hand
side, I think this is just applicable to
all parts of life, but specifically
within collaboration as well. We have
these expectations and we have the
acceptance. And the acceptance is just
kind of like how acceptable we find the
actual situation. And so the as the
acceptance goes up and as the
expectations go down, we'll have a lot
better happiness because our
expectations are down. But if you're on
that far left side where the
expectations are really high, but what's
actually happening is really low, that's
going to be very unhappy. And so you
want people's expectations and kind of
what they accept to be pretty even, but
you'd rather have what they accept to be
a lot higher. If you set their
expectations a little bit lower, that
typically makes them a little bit
happier because they aren't expecting
the moon and the world and flowers and
all these different things that they
could possibly have. They're just
expecting something small. I'm going to
share one more story. At my very first
job as a data analyst, this was actually
at a nonprofit. I was a data collection
specialist and analyst. I had no idea
what I was doing. I was very new. But in
this, I would say I failed quite
miserably. Most of what my job was was
collecting data from all these different
departments within the nonprofit. and we
would submit it for grants. And grant is
basically what the government gives you
for doing specific work. I was new into
this job, maybe two or three months, so
I didn't know a ton, but I was talking
to the senior director. This was like my
boss's boss, and they were like, "Hey,
we have to submit this grant data. This
is really important to get, so I need
you to have this done by the end of the
week." And I was like, "End of the week?
No problem. I got it." I don't know why
I was so confident, but I remember being
like, "Yeah, no problem. I just have to
go ask this person for the data." So I
go to this person, I get the data, I
bring the data back and I start looking
at it and I realize this data is really
not set up to actually submit because
the data has to sit in a specific way.
You have to format it properly. You have
to do some aggregations. And these were
things early on in my career that I just
didn't really know. Like I was very very
new. So I should have gone to that
senior director and said, "Hey, this
data is really messy. It's going to take
me some time. I'm going to try to get it
by this day." and maybe they would have
said, "Hey, let me help you on this.
Let's work together on this." But I
wanted to prove myself, right? So, I got
heads down and I just started working on
it. I started digging in and I couldn't
figure it out. It was really confusing.
I don't know why I was so stubborn, but
I didn't communicate this at all. I just
wanted to show that I knew what I was
doing. And so, I worked on I worked on I
worked on it. Friday came around when it
was due. She comes over to me and she's
like, "Hey, Alex, is everything ready to
submit?" And I'm like, "Listen, I got to
be honest with you. I could not figure
this out. I really need help. So, she
was very frustrated. I mean, it was
visible. She was trying to be nice. I
was new to my job. I was a young kid.
She was trying to be polite, but I could
tell she was visibly very frustrated
because then she had to drop everything
that she had to do to help me get this
data ready to submit. And it was
horrible. And I just remember that
sinking feeling of like I really messed
up. If I had said that four, five, 6
days ago or when I first got this data,
the expectations would have been a lot
lower and we had a longer timeline to
actually resolve it. So, I didn't have
to make this, you know, small issue an
emergency. I just did because of kind of
unmet expectations. Let's not dwell on
my failures too much. I do have many,
but that one I specifically remember
really well. Next, let's talk about
feedback. Now, feedback can actually be
kind of hard to get sometimes. you kind
of need to pry it from people in certain
instances, but having a regular feedback
loop within projects or within teams is
really great. What I mean by that is
sometimes things just don't work. They
don't work well. The processes don't
work. The tools don't work. But if you
don't have a feedback loop, often times
people just try to push through and they
don't feel like they can come to you. So
I'll give you just a quick example.
Let's say you're working on a team and
you have all of your data sitting in SQL
and you're like, "All right, let's
extract that data, put it into a report,
and then, you know, send that off and
then we'll automate that process." Well,
you start getting in there and you start
realizing the tools that they're using
to extract that data and send the report
are not working for what you actually
need. But that's what they've always
used. They've been using that for
everything. So, you're thinking, "I just
have to figure it out. I have to get it
done." So, you start working on it. You
keep your head down and you don't give
that feedback. Hey, I'm having issues
with this project. It's not working for
me. Like, this tool is not working. Then
finally, a week later, someone comes to
you and they're asking for this and
you're like, well, you know, there's an
issue with this and this tool that I'm
trying to use. And they're like, oh, I
see. Well, let's take a look at it. And
you take a look at it. You quickly
realize this is a unique use case. You
can't actually use this tool for what
you're trying to do. And they're like,
you should have given me this feedback a
long time ago. Feedback is a
communication thing. You need to have
feedback. You need to be communicating.
And so creating those feedback loops
typically in things like daily standups
is really nice to have. Almost always
communicating and giving feedback on
different tools or projects or all
different things that you're going to be
working on within a team. It always
helps you kind of align yourself with
your team to work in the same direction
instead of kind of fighting each other
or fighting the system or the processes
or the tools.
Hello everybody. In this lesson, we're
going to be talking about politics. Yes,
we are talking about office politics.
When you are working on a team, when
you're working at any company, there are
going to be office politics. And so, I'm
going to kind of give some stories and
looking back uh give you some just just
interesting stories over my time uh
being in the office politics. But office
politics is a tool. And so, we're just
going to talk about politics, talk a
little bit how you can use it to your
personal gain because I absolutely think
that it is something that you kind of
need to be aware of and be thinking
about when working within a team.
Probably the biggest thing that I'm
going to say in this entire lesson is
that office politics will help you
influence decision-making. And this is a
very good thing. It can be used really
poorly, but it is a very good thing. I'm
going to give you an example of a time I
was very successful with office politics
to kind of get what I want. And this was
when I was first hired as a data
analytics manager. I was new to
managing. I had never done it before.
But I was hired on for one specific goal
within our IT department. And we had a
bunch of siloed data with cyber security
and the help desk and all these
different departments. There were 11
different departments. So it was a lot.
And for the past 6 years they had been
trying to figure out a solution to get
all that data into one place which as
you can imagine is very difficult
because everybody has different needs.
They have different wants. They have
different perspectives and ideas and all
these different things. And so my only
job was to try to get everyone into one
single consensus. and I was trying to
get us into a platform whether it was
AWS, Azure, Google Cloud Platform, data
bricks, it doesn't matter as long as it
worked for the entire IT department. So
I started going around and I started
going around to every single department
one by one and I started trying to
understand what they did, what kind of
data they were working with, what data
they needed, what their pain points
were, what issues they were having in
their business. Believe it or not, that
took several months. And over those
months, I started to get to know all the
different managers, all the people on
the team. And you know, just generally
being friendly with them and really
trying to sympathize and being
understanding with their team and what
they were going through and what they
were trying to achieve. I started to be
able to see kind of what each team was
working on and what they needed. So what
I did was I went back, I took
everybody's feedback. I took tons of
notes and I started creating kind of
this Excel spreadsheet of needs, wants,
how we can solve this out. And then I
got every single person together. And
that was kind of the trickiest part
because there was some office politics
that was already there before I got
there. And I brought everyone into one
room and I said, "Hey, listen. This is
something we've been trying to do for
many years." I was like, "Now is our
time to get it done. Here's what I've
laid out." I laid out all the details. I
said, "I know that you guys all have
your own opinion, your own preferences.
I know you want Snowflake. I know you
want Azure. You guys already use some
AWS products." I was like, "But here's
the deal. We can't use everything." So,
I was using my influence. I was using
my, you know, connections that I had
made over those several months and I got
us to all agree on using Azure. It was
nuts. No one was able to do this in the
past 6 years. They had tried many times,
but I just kind of played the room. I
got to know everybody. I talked
specifically to everyone's pain points
and what they were able to do and how
Azure could solve it. That was probably
the biggest success as it comes to
office politics and getting everyone on
the same page as I've ever had. I don't
think any of my other stories that were
positive would come close to the feeling
of getting everyone together on this
massive project. In the end, everyone
agreed to it, even though some were more
reluctant than others, but people wanted
to kind of get on board with this and
kind of all be on the same page. And
then I submitted our budget, it got
approved, and we started implementing
people and hiring on analytic engineers
and all sorts of people for this big
project. I am 100% confident if I had
not gone to everybody and started making
friends with them and started kind of
getting involved in all these things. I
am 100% confident they would not have
agreed to it in the way that they did.
From what I was told, a lot of the
previous people in my position just
tried to kind of steamroll it and say,
"This is what we're doing and make it
happen." And people just fought them so
much that they ended up giving up. Now,
that's kind of a big example, right? But
if you're just an individual contributor
on your team, you're just a data analyst
or you're a data scientist or something
like that, you can still do the same
within your team. Being friends with
people and making good connections with
your managers, your senior directors,
the people on your team, that really
goes a long way. One of my biggest
pieces of advice in order to be really
good in office politics is to avoid the
gossip. And I know gossip is fun. You
get to hear about what people messed up
and what people are doing in their
private lives. But when people see you
doing that, they're not going to trust
you as much. And things spread, right?
You've no office politics. You say one
thing to one person, they're going to
say it to another, and soon everybody
knows. And they know that you don't like
that one person. That one person's not
going to like you. And then they're
going to try to get other people on
their side to not like you. And then
it's you versus them. And it's a whole
thing. And so just not being involved in
a lot of the gossip ends up helping a
lot. The last thing I want to talk about
is giving credit. Now, I'm going to give
you an example of a time I felt
horrible. It was pretty early on in my
career, maybe like two, three years. And
we were working on this big project and
we got into this meeting and the meeting
had some higher up. I don't remember if
it was a senior director or senior
manager, somebody higher up. I was, you
know, like a junior data analyst, but I
had been working on this project. My
product manager was giving the
presentation. I was just sitting there.
But at the end, this person got all the
credit. They did not ever once mention
that there was anyone helping. They just
kind of said, "That's it. That's the
project." And they kind of took credit
for themselves. And I remember being
like,
"That doesn't feel good." I was like, "I
worked a ton on this project. I feel
like I helped a lot. I didn't get any
credit." And that really has sat with
me. Like I remember that feeling because
I was like kind of hurt by it because I
was really a big part of that project.
And so that feeling doesn't feel good.
And so what you want to do is you want
to give credit generously. This is
something I think everybody should be
doing. If you were in there and you're
presenting and somebody helped you be
like, "Hey, you know, we worked really
hard on this project. John was a big
help. John, that guy right there, John's
awesome. Just a super smart guy. Just
give people credit because when you give
people credit, they're going to give it
back to you in a lot of different ways.
If you haven't done that before, I
highly recommend trying it. One, it's
just a really good feeling when you look
over and you give someone credit and
they're smiling and they're like, "Hey,
you know, thanks for including me." It's
also feels really good when someone does
it for you. And I promise you, if you do
it for somebody else, they are going to
see that. And other people on your team
are going to see that and they're going
to want to give you credit. and it kind
of lifts everybody. You know, that
rising tide lifts the boat, right? You
want everyone to come up together. So,
that is office politics in a nutshell.
Of course, there's going to be crazy
stuff. There's going to be bad
employees. And that's we're going to
talk about in the next lesson when we
talk about just tough employees or tough
co-workers to work with.
Hello everybody. In this lesson, we're
going to be talking about working with
tough co-workers. Now, I am almost
positive if you've worked anywhere ever,
you've had a tough co-orker because
tough co-workers are everywhere. Or I'll
just say bad co-workers. These are
people who don't do a good job, have a
bad attitude, you don't enjoy working
with them, they bring down the team.
These are people that typically last a
long time at companies for whatever
reason. They just they never leave. They
work there for 20 years and they're the
worst people to work with. If you have
not worked with someone like that, I
assure you, you will. It is only a
matter of time. So, I'm going to talk a
little bit about how you can work with
these types of people and what to do
when you're working with a tough
co-orker. There's kind of two different
categories. One, is it workrelated?
Right? Is this something that's
inhibiting a project? Is it stopping you
from getting your work done? Or is this
person just annoying? Right? Do they
just have a bad attitude, but they're
still getting their work done? If it is
in category one where it is inhibiting
your work or it's inhibiting the project
as a whole, these are things that you
need to address. Now, in category number
two, if it's just something that you
don't like about them, it's their
personality, it's their tone, it's their
whatever, often times those are things
that those are just personality
character traits that maybe you just
don't really vibe with, you don't really
get along with. Typically, these are
things that I am not really going to
address. Now, it is possible that these
personal things do actually bleed into
being a real problem, and you always can
address those. But the first category
are things that definitely need to be
addressed. I'm going to talk a little
bit more about those first. If it's a
very small issue, maybe it's just
something you're just going to let go
and hope they improve on in the future,
right? Maybe they said they're going to
email you something by the end of the
day and they forgot or they just didn't
do it and that's really frustrating,
right? But it's not a big deal. Maybe
they'll just email it to you in the
morning and then you still have it and
that's okay. But if it starts inhibiting
your work, your ability to meet
deadlines, your ability to do things,
and this is a repetitive pattern, this
is something that one, you can just talk
to them about it and say, "Hey, here's
how this affected my project. I needed
you to get that to me by Monday and you
didn't even start on it until Wednesday.
That makes me look bad in front of the
customer or the client or my manager.
Like, I need you to be able to do that.
If that's a repetitive pattern though, I
would just go to your boss and say, "Hey
boss, here's what's happening. I wanted
to talk to you about John. There's this
repeated pattern of I'm trying to get my
work done and here's what he's doing and
here's how it's affecting it. I've
already addressed it with him, but it is
not improving. Can you help me with
this?" It is your manager's job to help
you as an employee get their job done
well. If you have a good boss, they're
going to address this and they're going
to get you guys into a room or they're
going to go talk to them or they're
going to help figure out a solution.
That is probably going to be my advice
for almost any situation. One, if you
feel comfortable addressing it with
them, if it's inhibiting your job, then
address it and just talk to them. Be
really polite, really kind, just explain
things. If it continues, if it does not
get better, if that person is just
stubborn and they don't want to be, you
know, a good co-orker, go to your boss,
right? That is the chain of command.
That is what I'm going to recommend for
almost everybody. That does take really
good communication skills, really good
body language, really good tone so that
they don't take it the wrong way. They
just understand that you want to get
your work done and because of what they
did or because of them just not being a
good employee, even if you don't say
that, you weren't able to get your work
done. The one thing that I would never
do is start gossiping and start bringing
that person down, start talking bad
about them to other employees. Even if
that employee stinks and everybody does
not like them, that is okay. is not
something that I would personally get
involved in because typically when you
start doing that although you may build
camaraderie in a small group of people
right for the people who don't like them
there may be other people who do like
them and you're going to cut off those
people just like in a previous example
that we talked about in one of our last
lessons. Another thing to note and this
is just kind of on a personal side is
that people are going through things.
You never know what's happening in their
personal life with their marriage with
their kids with their parents with their
friends with their health. People go
through things and so sometimes good
co-workers can become tough co-workers
for a season and that's not something
that you should be taking personally.
There could be something behind the
scenes that they're not sharing or that
you don't know. So try to have some
compassion. Try to be really
sympathetic. But if it is inhibiting
your work, go to them first and then go
to your boss.
Hello everybody. In this module, we're
going to be talking about personal
effectiveness. Now, these are things
that I think are very specific to being
in a workplace, but also are very good
soft skills just to work on and be aware
of and improve on. One of the biggest
soft skills as it pertains to personal
effectiveness is going to be time
management. This is something that a lot
of people struggle with and I'm going to
give you some reasons why that happens
and I'm going to talk about how you can
resolve that. One of the biggest reasons
is that some people just aren't
organized at all, right? They're just
very messy with things. They use sticky
notes to track things and then projects
and tasks slip through the cracks and
that is not a good thing. And so
organization plays a big part in both of
these things. The other thing that
really affects this is the ability for
somebody to say no to specific projects
because some people just get assigned
projects and they don't say anything and
they just take on so much work. They
literally cannot create any type of
schedule or prioritize their work to get
all of it done. When this happens, you
are in a lose-lose situation. You
literally cannot do it. But you're also
going to spend an immense amount of time
and be very anxious and have a lot of
stress to try to accomplish something
that is not accomplishable. If that is a
word, I am not 100%. But how can we
actually solve these issues? My first
recommendation is pretty simple. One is
just to use a calendar. I know a lot of
people that they like to write things
down and that's perfectly fine. I also
write on sticky notes and I like
journaling and writing on paper. But
having something on your phone or your
computer, whether it's an app or it's
just your Gmail calendar or whatever it
is, have something where you have
everything in one place. You have
something where you have all your
meetings, where you have all your
deadlines. This will be able to help you
visualize and see how much you have on
your plate at any moment. Now, that's
just for time management in general.
That is one of my biggest things that
when I started doing that a lot, I
started becoming a lot less stressed
because I knew when my projects were
due. I knew when I had meetings. I knew
what my time frames were. and so I could
kind of visualize and see everything.
The other thing is using something to
prioritize your projects. Now, I
personally don't like something like
Jira. I used it for many years. I just
got exhausted by it. But something to
organize your projects. I don't use Jira
anymore, but when I was in the
workplace, that's what we used. So, if
you look at Jira, you can organize
projects from most important to least
important. Almost always you're going to
do the most important projects first.
The ones that have the largest business
impact, the ones that are the most
important, those are the ones that going
to be prioritized first. Things that are
super low on that priority, you may kick
those down the road, right? They don't
need to be done right now. Maybe they
need to be done, you know, by the end of
the quarter or maybe even the end of the
year. You have a lot of time to work on
this. It's not a high priority. That may
be something that you literally just
shift over and take off your list. And
so now your list is a lot smaller.
Instead of having this running list of a
hundred things, you just say, "Hey, in
this week, here's what I'm prioritizing
these two or three projects." Earlier, I
mentioned some people just take on too
much. And a lot of this has to do with
not having the ability to say no. Or
maybe they haven't set that boundary
within their career, and that can be
very difficult. I know I personally did
this when I first started. I just wanted
to take on as much as I could. I wanted
to show people that I knew what I was
doing. I also didn't really know when I
was supposed to say no. Could I even say
no to this project? Could I say no to
this co-orker? I don't know. But I can
tell you right now, you do have the
ability to say no. Now, I wouldn't start
doing this right off the bat, right? You
get a new job and you get in there and
they assign you your first project and
you're like, "No, I'm not doing it. I
have to protect my time. You don't have
anything on your plate." But as you
start getting an actual workload, as you
start getting a bigger case load, then
you can start saying no to certain
projects depending on their importance
and depending on if that's something
that you can reasonably take on in your
schedule. And it can look like this.
Someone's going to come to you with a
request and you're going to be very
polite about it and say, "Hey, I can
tell that this is really important. I
can't take this on right now due to my
current workload. This might be
something I can get to in the next two
or 3 weeks." You're not saying no to it
forever. You may even validate that yes,
this needs to get done, but you're
saying I can do it right now. This is
maybe something I can get to in several
weeks. One thing I want to mention, and
this is super important, is that in data
positions oftent times people see you as
ad hoc generators. They're just going to
come to you with a request and they
expect you to do it. It's just
everything and anything. I've seen it a
million times. They come to you and
they're like, "Hey, can you pull this
data from this and this and this?" Then
put it into a report. Just, you know,
send it to me by the end of the day. And
sometimes you'll be like, "Yeah, sure."
Or you'll be like, "No, I can't do
that." But what actually comes out of
your mouth is, "Yeah, okay. All right, I
guess." And you know, you hope they pick
up on that tone or that sarcasm or
whatever it is. But most of the time,
unless this is coming from like a senior
director or seale exec, these ad hoc
requests typically aren't very
important. And so a lot of these times
when people come to these oneoff little
requests, you can say no. You can say
no, I can't get to that. You know, maybe
next week, maybe the week after, maybe
Josh can look at that because Josh
doesn't have much on his plate right
now. There are definitely ways to handle
that, but you don't have to say yes to
all these little requests that take up
so much time that really aren't super
important. If there's only one lesson
that you really grab on to and really
apply to your life, let it be this one
in this module because I promise you
this one will make or break your career
or it'll make or break your experience
at that company.
Hello everybody. In this lesson, we're
going to be talking about
self-awareness. Now, this is a tough one
for a lot of people, myself included. I
will say when I first got into just data
in general, I was not the most
self-aware person in several areas. I've
grown in this area specifically a lot.
And I'll give you just a quick example.
I always thought of myself as a very
good communicator. Early on, I was like,
"Yeah, I communicate well. Like, of
course, everybody communicates fine.
Like, there's no issues here." So, when
I got into meetings, I thought I was
doing okay, but I didn't have much
self-awareness in this area because I
was actually not very good. This was a
weakness of mine as well as just being
social in general. I kind of thought I
would be okay working in an office from
9 to5 and I thought I wouldn't be
drained at the end of the day but I was
I was just exhausted and so my
communication skills and my
self-awareness and you know just my
social ability were not the best and I
wasn't super aware of it and that was
very draining on me as a whole. So in
order to be self-aware, in order to
improve you kind of need to look at
yourself and be like what are my
strengths and weaknesses? Where do I
really excel? Maybe it is communication.
Maybe that's like your absolute best
thing, but maybe you're horrible at time
management. The worst thing to do,
though, is to not be aware that you're
bad at time management. I know you know
someone like that where you keep looking
at them and they're like, "You make
horrible relationship decisions. Just
horrible." And they're like, "No, I
don't." And then every single time they
start dating someone and they're in like
the worst relationship ever, but they
have zero self-awareness. And it is
infuriating. You don't want to be that
person in the workplace. You want to be
aware of what you're good at and what
you're not good at. One of the easiest
ways to do this in the workplace is to
just ask your manager. Say, "Hey
manager, here's where I think I really
excel. What are some areas that you
think I could improve on?" And you can
get some feedback from them. You could
also go to something like a best friend
or a spouse or a girlfriend or boyfriend
or something like that. You can go to
this person that you trust and say,
"Hey, I kind of want to improve on
myself. I want to improve in some areas.
Where are my blind spots? Where am I not
being super self-aware? As long as you
can trust that person and get this
feedback, it can really help you kind of
identify these blind spots so you can
become more self-aware. When I was early
on, I started to become a little bit
more self-aware that presentations
weren't my thing. I wasn't very good at
them. And so what I did was I went to my
manager. I was like, "Hey," his name was
Tristan. I was like, "Hey, Tristan. I'm
just not doing well in these things. Can
you give me some feedback because I want
to improve on presentations. I just know
I'm not the best at them." And Tristan
was able to give me really great
feedback. He thought I was doing pretty
good, but he absolutely had feedback
that I started implementing. And now I
think I'm a lot better at presenting
than I first was as a data analyst. I
will tell you though, I still fail in a
lot of areas. But I'm a lot more aware
of where I'm not really good anymore.
Before I just kind of did things. I
didn't know if I was good or bad. I
thought I was really good at
communication. I thought I was really
good at, you know, different things, but
I wasn't. And so now I'm just much more
self-aware. I still have things I'm not
good at, but I'm aware of them. So I do
consulting and I'll get into a team and
it's a bunch of different people. And
some people are going to have strengths
that I don't have. So if a certain task
or a certain thing comes up, I can say,
"Hey, John, you're really good at that.
You should be working on that task.
That's not my area of expertise." Or,
"Hey, we need to present information and
gez Josh, you're amazing at presenting.
Let's have you lead that presentation."
So, I just know my strengths well enough
to be like, I am not amazing at this,
but I can tell that you are. Let's lean
into your strength in your area of
expertise. And in other times, I'll lead
because that's my area of expertise. So,
being self-aware is really important in
working in a team and just in working in
general. I'm always going to be changing
and I'm always going to have different
blind spots or I'm going to get better
at some things and worse at some things.
I'm trying to just be better at
everything, but that's not who I am as a
person. I don't think that's realistic
for most people. So listen, if you have
something that you're not good at, kind
of own that. It's okay. It's not
something that's going to absolutely
or destroy you. For example, I
am super introverted. It was very tough
for me for those first two or three
years to get acclimated to working in
person 9 to5 every day. That was really
tough on me cuz after about 2 hours, I
was drained. And I would get home and my
wife was like, "Oh my gosh, you need to
stop doing this. Like you are killing
yourself essentially." But that was an
area I was aware of and I started
improving on that over time and now I
can work 9 to5. I can be in person with
people and that doesn't drain me as
much. So it is something that you can
work on and improve on. But if you're
not aware of it, if you don't kind of
realistically look at yourself and look
at your strengths and your weaknesses,
how can you improve on those weaknesses
if you don't even know you have
weaknesses? So try to just look
internal. Try to identify things that
you're not the best at. Work on them.
But also notice if someone else has that
strength in that area you're weak. Let
them help you by taking the lead on that
and you can learn from it as well.
Hello everybody. In this lesson we're
going to be talking about work life
balance. And this is a skill. This is a
soft skill. Has a lot to do with
communication and setting boundaries and
all these things. But work life balance
is very important. It is something that
I didn't really have you know at parts
of my career and in other parts of my
career. And now I have very good work
life balance. Even though I work more
hours now than I ever have, I have
better work life balance than kind of at
the start of my career. If you don't
know what work life balance is, and I'm
sure you do, it's just the balance
between how much time you're spending
working and how much time you're
spending on kind of your real life.
That's with your family, with your
friends, with your hobbies, with
anything else you want to be doing
besides just at your computer or at a
desk working. If you are spending too
much time working and not enough time on
yourself, you're going to start going
down and it's not good. If you're
spending too little time working and
you're spending a lot of personal time
and not accomplishing anything, that
also has negative effects. There is a
nice balance where you can get both
things done and feel accomplished and
feel like you're really being a good
member of a team, but also feel
fulfilled in your personal life. And
that is what we're going to be talking
about in general. This isn't always
true. depends on the season, the time of
the year. But in general, if you spend
more time working and you spend less
time in your personal life, you're going
to feel less fulfilled. You're just
going to feel like a robot. You're just
going to feel like you're wasting your
life. Most of the time, a lot of our
fulfillment and where we really feel
like our best selves is in our personal
life with our hobbies and with our
friends and with our family. These are
the things that really fuel us. But most
people need to work. It is something
that drives them. It's something that
gives them a purpose outside of their
personal life. It also provides money
and that is very important in this
world. Now, early on I was working at a
nonprofit. If you've never worked in a
nonprofit, the pay is really low and the
expectations are really high. It's not a
good trade-off. Usually, if the
expectations are really high and the
demand for your time and effort is
really high, you get paid more. Not at a
nonprofit. It's kind of a beautiful
irony. And so, I'm working at this job
and the job is from 8 to 4. Now, 8 to 4
was my hours because I told them that I
had to get off by 4:00 to go pick up my
kids from school. And so they were like,
"Okay, no problem. Not a big deal."
Right? But as I got more into the job, 2
3 4 months go by, more work keeps piling
up. I do not have a good work life
balance. I have to start going in a
little bit early. I have to staying a
little bit late. My kids have to spend
more time in afterare or sometimes my
wife has to go pick them up. And that
just did not work for our family. So I
did this for several months. But that
was not working for me. And so because
of this, I ended up just looking for
another job because I was like, "This
job is not doing it for me. I don't have
that work life balance that I really
need, especially since I had kids and
obligations outside of my work. A lot of
this has to do with company culture as
well. And sometimes you can't get away
for it. Sometimes you don't really even
know it's happening until you get into
it. So before you get into a job, you
can ask about these things, but you
won't really know until you get into it.
So at the next job that I got, the work
life balance was much better. I still
worked 8 to 4, but I actually got off at
4:00. and my boss let me get off to go
get my kids or go on a school trip or
different things. My PTO was quite
flexible, but I did set those boundaries
pretty early. Even in the interview
process, I was like, "Hey, I got a
family. This is really important to me.
You know, I am a great employee. I'm
going to work really hard." But, you
know, this is something that I really
prioritize in my life. And I will say he
respected that. Even though he didn't
have kids, he was like, "Hey, listen. I
know kids are really important. We want
to support you in this." And so even in
the interview process, I was talking
about setting boundaries. I was talking
about prioritizing kind of myself and my
life outside of work. And you can do
this at any point. You don't have to do
at the very beginning. Even if you've
been in a job for 5 years, if it's not
working for you, you don't have a good
work life balance. You can go to them
and you can say, "Hey, listen. This
isn't working for me. I'm not able to
spend as much time with my kids. I'm not
feeling fulfilled. I need to be able to
set boundaries in this area in order to
have a good work life balance." Now, if
they can't do that, if they're like,
"Hey, listen. You have to do it. You
don't have a choice." Then, you know,
they don't prioritize you, they're
prioritizing the job and the company,
and that is okay because that tells you
you can go look for another job. So,
while you're working in this condition
that you don't like, start applying,
start looking for another job. Most of
the time, if they're a good person, if
they're somebody who you know you get
along with and you respect, they will
try to make that happen. A good employee
is good for business. Not every manager,
not every company understands that, but
that is a real thing. So stand up for
yourself. Set those boundaries, set
these expectations so that you can have
a good work life balance. Now, just one
caveat to this is not everybody likes
work life balance. Some people don't
have a lot of friends or family or
hobbies. Their work is what they really
find fulfillment in. But even then, you
have to set some personal boundaries at
that point. You need to say, "Hey,
listen. I can't work 12-hour days every
day. That's not good for me. I need to
go for a walk. I need to get out there.
I need to get a dog. Do something
outside of that. Something that is good
for your mental health. That's just my
one small caveat, but not as many people
are like that as people who really do
want a good work life balance. But if
you're one of those people, that is
something to consider.
Hello everybody and congratulations on
completing the soft skills for data
professionals course here on Analyst
Builder. I hope that this was really
helpful and you learned a ton. Saw
skills are quite difficult to learn, but
hopefully I was able to present it in a
way that really helped. I know I shared
a ton of personal stories, so I'm hoping
that those stories really resonated with
you and you're able to improve your soft
skills and be ready to apply those soft
skills in your job. I would absolutely
love to hear your feedback.