How to apply for Analytics jobs?

How to apply for Analytics jobs?
Lately, I have seen articles on Linkedin about people looking for jobs. This brief article is for all those people who are into job-hunting. There is a possibility that you are doing everything correctly but are not getting any calls, but do go through the following post if you want to make a career in Analytics
How to apply for Analytics jobs?

This article is straight from the heart and it is just to help everyone understand how to approach a job hunt. I will only be dealing with the Analytics domain i.e. Data Analyst, Data Scientist, Business analyst, Analytics Manager, etc.

Your company might have laid you off because their business got hit by COVID or due to any reason. Now, how to deal with this?

First and foremost, understand that your employer let you go because they are hit hard w.r.t. revenue. You can’t do much to this fact. Don’t have any ill emotion to your employer because eventually, it helped you in providing you with job experience. Let the emotion sync in and then start.

You can take a couple of days off. Relax !!
It’s completely normal to be out of a job(unless and until you and your family have food on your plate). If not, then don’t take off and do whatever it takes to arrange

I have shared the below approach with many people in the Analytics domain and it has worked well for them.

Start with your resume, give at least 2 days to create your resume. It’s a one-time investment and it is worth the time. No need to take up any template, you can use a simple word file, put some bullet points and that’s it

I get multiple requests to check a resume, following are some of the golden rules

Name, college, phone number, branch on the top left
3 bullet points for 10th,12th, and graduation marks (No matter how bad or good the marks are)

Number of project description
1 or 2 projects for anyone with less than <1 year of experience
2 or 3 projects for anyone with 1-3 years of experience
3 or 4 projects for anyone with 3-5 years of experience

Each project description should have the following pointers
Name of project – Organization – Duration
Description – 2 lines
Tools and technologies used – 1 line

Mention any certification which you earned after the 3rd or 4th year of graduation

2-3 extra-curricular activities

Declaration

If you have less than 5 years of experience then your resume should not go beyond one and a half page (including declaration)

Don’t :
1. Write 7-8 projects in the description
2. Write 8-10 lines in each project
3. Mention 10-15 certifications or extra-curricular activities
4. forget to mention your marks in 10th,12th, and graduation
5. Write MS Word, Windows 2010, Macbook Air in tools

You can ping me your resume at nitinkamal132@gmail.com or contact@thedatamonk.com

Once your resume is ready, now it’s time to update your profile on job portals

Naukri
Iimjobs
Hirist

Keep this 3 updating after every 3-5 days.

My personal tip – Go for Naukri’s premium service for 3 months, this might help you

Go to Facebook and join Analytics opportunities groups
Take a premium service of Linkedin(free for the first month)

Update your Linkedin profile !!

Now comes the preparation part, no one will give you a job because you graduated from some elite college or because you have managed to get a few awards in the last organization. You need to be prepared for all the rounds.

Take on the subject per week, suppose you start with SQL for week 1, go through basic videos or materials on the first day and try to go through interview questions from any website. This post is not for marketing our blog, but you can actually give it a try.
150+ SQL interview questions
Our whole website is filled with interview questions, and everything is free. Create your profile and start answering.
Spend the next 4-5 days on solving interview questions. The interviewer will seldom ask you definitions but they will certainly ask you concepts

You need to give one week on each of the below topics
SQL
R/Python
Machine Learning algorithms
Statistics
Excel

You can get a detailed approach here – How to become a Data Scientist

Buy 5 notebooks of classmates (200 pages each) and try to fill them in one week.

Once all these are done, you will be a very strong candidate for any interview. Whenever you get rejected, just make sure you write it down in your notebook about the errors you made.

After a few rejections, you will get a good job and you will be far ahead of where you were a few months back.

Remember – You will get rejected till you don’t match companies expectations. If you are preparing for Facebook, Google, Amazon then you have to make sure you cross their benchmark with your knowledge.

You will keep on getting rejected till you actually get better in your domain. Once you get better, there is no looking back.

If you have any questions, no matter how small or naive, just comment it down. Share it with someone if they need this.

The Data Monk Interview Books – Don’t Miss

Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.

10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates

23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)

12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package

Individual 50+ e-books on separate topics

Important Resources to crack interviews (Mostly Free)

There are a few things which might be very useful for your preparation

The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-

All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics