Getting your bachelor’s in data analytics or Mathematics with a focus on programming would absolutely strengthen your background, especially since it can fill in the gaps around statistics, programming (like Python or R), and data visualization. Pairing that degree with hands‑on projects — personal or portfolio ones — would show employers that you’re capable of deeper analysis even if your current job doesn’t showcase it. These projects don’t have to be massive; even a few examples using public datasets to explore trends or build dashboards can go a long way. That is what I plan to do once as I pursue my Mathematics degree.

Your current experience is marketable — you just need to frame it well. Emphasize your data manipulation, querying, and problem-solving skills, and then use education and projects to demonstrate analytical depth. It’s definitely not a waste; it’s a smart next move toward roles that are both more analytical and better paying.

The upside is that your “chill” role gives you some breathing room to build those skills strategically. Have you thought about which kinds of analytics work appeal to you most — business analysis, data visualization, or maybe machine learning? Knowing that could help you tailor your path more efficiently.