Having well-written resume is extremely
important to increase the chance of
getting an interview call. In this video
I'm going to share some resume writing
tips for the position of data analyst.
I have created a sample resume here
using some fake data but it will give
you an idea on the structure of the
resume. The first thing is your name
and your contact information. You want to
specify your phone number and email so
that HR can communicate with you using
those contact details. Then comes a link
of your github account. Ideally won't you
want to have some data analytic projects
uploaded on your github account so that
if the interviewer want to do a prior
review of your project and code it kind
of helps. So it's important to have
github account link nowadays. You can
also have your LinkedIn account link, so
if your LinkedIn account is good it has
some good reviews that will also be a
little bit helpful. Then comes a section
for your professional summary. If you are
fresher then you can include two or
three lines about your education, etc but
if you're experienced you can specify
your experience, the industries that you
have worked in and some of the major
tools that you have used or some of the
major accomplishments. This should not be
more than I would say four lines, because
you don't have a full paragraph in your
professional summary. Then comes
skills section. This is an important
section you want to categorize your
skills into different categories. So here
I have programming visualization
database and soft skills. If you have
some random skills then you can have
other skills section as well, where you
can put whatever other skills you have.
Programming nowadays is very important
for data analyst role and if an employer
sees things like Python, R, SQL, it will
highly increase the chance of you
getting an interview call. In terms of
visualization Tableau, Power BI, SPY
sense any visualization tools that
you have and then having database skills
is always helpful.
Then comes certification and award section.
So let's say if you have done any
certification online or in the
university you want to mention it, if you
have won any awards in your past
companies or in college then mention
them. This is rare but sometimes people
contribute to open source. So
contributing to open source, having a
good rank on stackoverflow, all these
things will matter so much. So if you say
okay I have this much Stack Overflow
rank and I have contributed to open
source and let's say 5 of my pull
requests were accepted, then it will give
a solid impression on on the employer
and it will highly increase the chance
of getting an interview call. Then comes
your experience in the experience you
want to mention the time duration, then
the company that you work with, your
location, and your role. Then comes few
highlights about your work at that
specific company. Now often I have noticed
that people write paragraphs and
paragraphs and they do not have any
concrete details. You need to have
concrete details in this section.
So all those highlighted words in the
bold, those are concrete details, okay. I'm
saying that I classified documents using
Python tesseract and regular expressions
and it improved the SLA for
classification from 50 minute to 2
minute. This is showing my concrete
achievement in that work, okay. I'm not
writing a big paragraph describing a
project. I've seen so many resumes. People
describe the projects. They do not write
their own contribution to that project,
okay. This is my own contribution, my own
ROI like company invested some money in
me and what return I gave back to that
company. similarly highlight all the
tools and technologies that you use,
right.
Here I use Excel, V-lookup, chi-square
normal, T distribution which shows that I
have some statistics skills. Then I have
some skills of removing outliers using
Python and pandas. So think from the
perspective of your interviewer. That
person is always looking for these kind
of key words in your resume, okay. So you
need to highlight those key word and
mention them. I also worked with
engineering team and business team using
scrum and agile methodology. Methodology
scrum and agile is a process of doing
software development. It applies to other
areas of non software development as
well, but often time data analysts would
be working with engineering team and
business teams and they'll be using
scrum. So if you write something like
this it shows that you know how to work
in agile framework and you know how to
do team work, etc. So not only you have
technical skills such as visualization,
programming, etcetera, you know how to
work on a big software project or big
data analytics type of project using
scrum. Then comes our next company it has
a similar format but again here you see
some concrete details. When it says that
I retrieved 2 million records and
analyze them in Jupyter notebook, it
shows that you know how to handle a
humongous volume of data and you have
those notebook skills where you can
clean data, visualize, etcetera. Then again
here you are saying that the validations,
which was the result of my analytics
work saved my company 1.5 million dollar.
Having this kind of line makes a solid
impression, because you are showing the
end impact of your work. So if you have
your resume as a data analyst please
check your resume. Do you have this
kind of concrete details? Does it show
the direct impact that you made by your
work? If not then you should rephrase
those words and sentences. Here also
another thing I did
worked in web traffic data analytics,
which resulted in to 25% traffic in
Greece and 10% selling sales increase. So
again this is showing a key metric of my
work.
Then comes education, so in a the
education, you want to mention your
university, your degree and your GPA.
I've seen people mention education at
the very beginning. So mentioning
education in the beginning is good for
for a fresher resume a but if you have
if you are already experienced, I would
suggest you put education towards the
end, because once you are experienced
then interviewer is interested in your
actual hands-on experience, right? He's
not interested in your degree that much.
Now couple of things to remember. Your
resume should not go beyond 2 page. Once
you have 3 page, 4 page, 5 page resume; it
it it makes a negative impression,
actually. You should be able to highlight
all your work in two pages only, ok. Also
do not add any personal details. I have
seen people adding their marital status,
gender, home location, hobbies, etc.
Especially in India people had all those
details. Just imagine if I am
interviewing some person I don't care
about whether the person is having a
cricket as a hobby or not right, his home
location, gender, marital status. Those
things are irrelevant. Hence you should
not mention them. One other tip is you
can customize your resume as per the
job application. So sometimes if you are
let's say, I am applying in Amazon and I
am applying in Google. Now both the
positions have different slightly
different requirements. So then look at
the job description
and whatever skills that they need try
to highlight those in your resume. So
it is perfectly okay to customize or
twit your resume, based on the position
that you are applying to.
Alright that's all I had for this video.
I am going to put a link of this sample
resume in the description below so
that you can
and download the resume and feel free
to use it. If you want to just use this
as a template, then download it, and just
fill in your details and start using
this resume.