Years of teaching taught me that understanding something and explaining it are two very different skills. I'm discovering that the same lesson applies to data: good analysis only becomes useful when the person receiving it can understand what it means.

I tracked 298 job applications over seven months. When I finally treated my job search like a dataset, the results challenged several of my assumptions - and changed the question I was asking.

Changing careers doesn't have to mean starting from zero. A reflection on why I don't want my previous career to disappear, and how banking, teaching and running a business continue to shape the analyst I'm becoming.

Changing careers into data taught me that learning SQL was not the hardest part. The real challenge was learning how to connect years of valuable experience with a profession that often recognises experience only when it comes with the "right" job title.

A personal reflection on entering data analytics - and why experience doesn’t always “count” until it has the right job title.

A reflection on why “junior” doesn’t mean “inexperienced” and how diverse backgrounds strengthen analytical teams.

At the beginning, I thought mistakes meant I wasn’t good enough. Over time, I realised they were the moments that taught me the most about real data analysis.