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:
For people who are starting their Data Analyst career journey: Here I challenge some assumptions people might have about the career.
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.
Here's everything I would include in a Data Analyst resume + the resume that got me my Graduate Data Analyst role at Quantium.
What I would recommend for aspiring data analysts to more easily land their next role.
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.
Here's how these analysts gained an unfair advantage in the application process, or received offers without applying.
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.
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!
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'.
Here are some takeaways from one of the most influential books in my data analytics career. Here's the third part (of four): Settling in data science.
Here are some takeaways from one of the most influential books in my data analytics career. Here's the fourth and final part: Growing into your data science role.
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.
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, Bergen, Emily, Harley, Iva, Lillian, Kevin, KJ, Pamela, Marc, Michael, Tran
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