If you feel like data analyst jobs basically disappeared overnight, you’re not imagining it. In this video, I break down why the data analyst market in 2026 is brutally competitive: massive layoffs (over 100,000 in the US in January alone), “support roles” getting cut first, fewer true entry-level openings, and a lower barrier to entry because online courses and AI tools mean more people can learn the basics fast. That’s why you’ll see a posting and then realize 2,000 people applied within hours. More importantly, I talk about what to do now to stand out. Dashboards and basic reporting aren’t enough anymore—what matters is proving business impact (yes, money) and showing exactly how your work changed decisions, revenue, or cost. I also explain how “experience” counts even if you haven’t had a full-time role yet—internships, projects, academic work, volunteer work, and even strategic unpaid work can add up if you frame it correctly. Finally, I share the broader skill set you need today (SQL + Excel is not enough): Python/R, stats, product/business sense, and using AI to amplify your work. Bonus tip that might get me hate: be open to in-office roles to reduce competition and increase your odds.