have I ruined my career? / mistakes I made switching jobs, doing entrepreneurship, and navigating layoffs

15 critical checks on the company and role before you accept your data & analytics job offer

Thinking about accepting a data science or analytics job? In this episode, I’m sharing 15 critical lessons from my experiences working in startups and Big Tech—covering essential topics like evaluating company culture, understanding data infrastructure, navigating tricky interviews, assessing layoff risks, and spotting hidden red flags. Whether you’re a data analyst, data scientist, ML engineer, or somewhere in between, these practical insights will help you make better career decisions, protect yourself, and thrive in your next role. Tune in and let's help each other avoid the common pitfalls in tech.

have I ruined my career? / mistakes I made switching jobs, doing entrepreneurship, and navigating layoffs

After eight years in data analytics, spanning five companies and an entrepreneurial effort, I find myself back at King—where my career started. Looking at my career moves, I’ve started questioning whether they actually helped me progress or if they set me back. In this video, I reflect on four key career missteps: leaving King instead of pushing for promotion, taking a career gap after my layoff from Spotify, underestimating the impact of job titles and formal roles, and not being strategic enough in planning my career trajectory. I also discuss the role of luck, timing, and how external perceptions influence career growth—sometimes more than actual performance. The truth is, even if I had done everything “right,” it wouldn’t have guaranteed anything. If you’ve ever looked back at your career decisions and wondered if they were the right ones, this one’s for you.

getting a job in data and analytics after layoffs / 2025

The data analytics job market in 2025 is a whole different game compared to 2020. In this video, I’m sharing where I’ve been, why I left my job, my experience job hunting twice, and why I ultimately decided to return to King. ✅ My startup experience after a layoff ✅ How I approached job searching in today’s market (startups vs. big companies) ✅ The biggest changes in data hiring since 2020 (fewer jobs, more interviews, less pay) ✅ What actually helped me land a great role in 2025 ✅ Why I chose to come back to King and what makes it the right fit for me If you’re currently job hunting in data analytics, data science, or product analytics, you’ve probably noticed how much harder it’s gotten. Fewer roles, longer hiring processes, and companies expecting more while offering less. I’ll share what I learned, what worked for me, and how I navigated it all. 💬 Have you been job hunting recently? What’s been your biggest challenge—fewer job openings, endless interviews, or lower offers? Drop a comment and let’s discuss!