WELCOME TO

The Data Analyst Guide

Learn all about building your career in data analytics or data science - and landing your first data job.

2020: I started learning about data analytics and data science, and became a Tableau Ambassador.

2021: I landed my very first analytics internship *and* an analyst internship at a large financial services firm.

2022: I got my graduate job offer, did two more analytics internships and graduated from University.

2023: I started my first data analytics job straight out of Uni, and created content.

2024: (3 months in) I got approached by two headhunters.

Here is everything I learnt to date (from my own experience, and from the content I've consumed)…

For aspiring analysts like myself back then:

What You Should Know

Things you should know before starting your Data Analyst career journey

For people who are starting their Data Analyst career journey: Here I challenge some assumptions people might have about the career.

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What should your data analytics learning journey look like?

What tools/skills should I be learning when building my Data Analyst career? How and how much should I be learning? I answer them here.

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The Data Analyst resume checklist

Here's everything I would include in a Data Analyst resume + the resume that got me my Graduate Data Analyst role at Quantium.

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A candid take on how to improve your surface area of success

What I would recommend for aspiring data analysts to more easily land their next role.

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An intro to data analytics projects and how to lay out your portfolio

Many aspiring data analysts do not have enough experience. That's why aspiring data analysts require a portfolio of projects to make up for it. Here's how you get started.

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What these analysts did to stand out (Part 1)

Here's how these analysts gained an unfair advantage in the application process, or received offers without applying.

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Supplementary Material

My top 5 takeaways from How to Become a Data Analyst

Annie got her first data analyst job in 6 months, starting from scratch and learning all the tools herself. Here's her advice for new-starters.

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My top 5 takeaways from Build a Career in Data Science (Getting started with data science) – PART 1

Here are some takeaways from one of the most influential books in my data analytics career. We'll start off with the first part (of four), since it's a long read!

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My top 5 takeaways from Build a Career in Data Science (Finding your data science job) – PART 2

Here are some takeaways from one of the most influential books in my data analytics career. Here's the second part (of four): Finding your data science job'.

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BACID Post 3

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BACID Post 4

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Contributors

Jason Khu

Hey, what's up? It's Jason.

I'm currently a Data Analyst at Quantium, based in Sydney, Australia. I've been working at the company for a bit longer than a year, and prior to joining, I did analytics work at American Express, Deloitte, and IAG.

I graduated from UNSW with a Bachelor of Actuarial Studies (Quantitative Data Science) & Commerce (Information Systems). And I started my Data Analyst/Scientist journey in my second-year - after realising I wasn't sure about what I wanted to do.

Enjoy the guide - it summarises everything I've learnt over the past four years. And feel free to reach out and connect! My links are below.

Acknowledgements

I would like to dedicate this section to some of the people I've met through the years.

They gave me the resources and support that allowed me to accomplish what I could in the data analytics space

Here is a short list of some of them:

Ana Ilic, Bergen Schmetzer, Emily Lo, Harley Barnes, Iva Flamminio, Lillian Lu, Kevin Lou, KJ Kim, Pamela Lau, Marc Reid, Michael Jacinto, Tran Nguyen

About Data & Development Deep Dives

Data & Development Deep Dives aims to teach data skills and career advice to young professionals.

Data & Development Deep Dives focusses on: data analytics/science, statistics, University and the student experence, personal and professional development, and more!

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