Is It Too Late to Switch to Data Analytics in My Late 20s?

Is It Too Late to Switch to Data Analytics in My Late 20s?

I’m 27, working in the automotive industry as a quality engineer, but my heart isn’t in it. I’ve always felt like I’m just going through the motions, handling paperwork, production support, and operator follow-ups. It pays the bills, but it doesn’t feel meaningful or technical enough. I’ve always been drawn to problem-solving and making sense of complex data, and recently, I got a taste of data analytics at one job. I worked with Python, pandas, Excel, and data visualization tools, and for the first time, I felt like I was doing something I truly enjoyed.

Now, I’m considering switching my master’s from engineering management to data science. I’m not chasing big tech; I’d be happy as a supply chain analyst, quality/data engineer, or in healthcare/government – as long as I get to use data to solve real problems. But I have some questions:

Is data analytics too saturated to realistically break into by 30-31, even with solid skills and a portfolio? Does my quality background actually count for anything in data roles, or have I just been ‘fluffing’? Has anyone made a late 20s/early 30s transition into data? What helped most? Any other career paths worth exploring for someone who loves numbers, analysis, and real-world problem-solving?

I’d love to hear your stories or any advice you have.

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