How To Become A Data Analyst In 2022 | by Aakriti Sharma | January 2022

Steps to take if you want to start a career in data analytics today!

Data is the hottest job market of the 21st century, but with the high salaries comes the downside of huge competition. So now how do you get into data as a beginner? How to start as a beginner? By standing out. And how do you stand out?

Let’s figure out how.

The internet is full of an overwhelming amount of resources, courses, and blogs. The human mind is easily tricked by Shiny Object Syndrome and seeks new and better resources rather than developing a skill to end up in tutorial hell. It’s time to prioritize the skills you want to acquire and the materials needed before you start and stick to them.

Remember that you don’t have to learn everything in the job description. Most JDs are poorly designed Google search messes and there are only a handful of skills you really need.

The main skills you will need to be a data analyst are:

  1. SQL
  2. Data visualization tool (Tableau/Power BI)
  3. Excel
  4. Python

Let’s focus on each separately:


SQL is the meat and potatoes of every data analyst. It can be used to extract and transform data from relational databases and is extremely scalable. This is the #1 skill you need to learn if you’re someone getting into data.

You can use resources like Mode and SQLBolt for hands-on interactive learning in your browser itself.

I also have a series of blogs explaining its important concepts:

2. Data visualization tool (Tableau/Power BI)

Quoting Youtube analyst Alex:

Data visualization tools as well as SQL are an unstoppable force. You can apply for most jobs knowing only these two things.

As a data analyst, you spend a lot of time generating reports to communicate your findings to other teams through visualization. Tableau and Power BI are what most businesses use these days. And adding ANY of them to your tool belt would be a great addition.

The best resource for this that I know of is Youtube, tons of tutorials. But always remember to get your hands dirty. It’s only when you try things that you learn.

3. Excel

Excel is used by almost everyone and isn’t even mentioned separately as a skill in the job description because it’s assumed you have it. It’s a MUST-HAVE skill in 2022, not just for the data community, but for everyone. Here’s a beginner-friendly video that walks you through:


Python is an extremely useful programming language for managing, cleaning, visualizing, and modeling data all in one place, but it can be daunting for an absolute beginner. It is therefore recommended to take this as the last step without getting overwhelmed by all it can do. You don’t have to know everything, you can learn on the job. Here is a great free course on Udemy for Python for Data Analysis:

After acquiring the necessary skills, it is essential to put them to use because most recruiters and hiring managers are looking for more than certificates and diplomas, they want practical proof that creates a sense of confidence, because you present your skills in practical scenarios.

The best way to do this is to:

  • make projects
  • work for non-profit organizations
  • do freelance work under contract

I shared some project ideas on Twitter and I will share their instructions on my medium. Stay tuned ✨

You can also follow Alex the analyst’s portfolio series on Youtube

Once your tool belt is ready and you have tested your skills in practical use cases. It’s time to put yourself forward. Where outside? in the world of recruitment.

1. Create a LinkedIn profile

If you’re not already familiar, Linkedin is where hiring managers hang out. And it’s a great way to showcase all your learnings, certifications, projects in one easily navigable place.

2. Create a CV

It’s 2022 and yes, we still have to do it. But nevertheless do your best for this as this is the first round of every job selection and make sure you run it first through an ATS according to your job description as most of the time, if you can’t find that happy medium between keywords and truth, your CV may not even be presented in front of a human 👻

3. Reach out

Cold emails, cold DMs give you all you got. Reach out to employees at the company you’ve applied to or want to join and discuss openings and references. After you get to this stage, be sure to contact at least 10 people a day.

It’s all on my side. Hope this helped. All the best in your Data journey 🎊

Interested in daily data analysis content? follow me on Twitter and medium.

Sean N. Ayres