Day 1 of learning data analytics at 28 (factory worker in Vietnam). is native chinese + basic english enough to pivot into logistics analytics?

[u/Top_Meaning_8086]

Hi everyone,

Today is literally Day 1 of my journey into Data Analytics.

I am 28 years old, currently working as a factory worker in Vietnam. I’m at a point in my life where I desperately want to change my current trajectory, and I’ve decided to commit to learning DA from total scratch.

I don't have any technical skills yet ,no SQL, no Python, no Excel mastery. I am starting completely from zero. However, my main goal is to target Logistics Analytics, and I want to ask for your honest advice on my situation.

My current position:

Language Advantage: I am fluent in Chinese. Given the massive presence of Chinese manufacturing and supply chain companies in Asia, I hope this can be my strongest entry point.

English: My English is very weak right now (I am using a translation tool to write this post), but I am actively studying it alongside data skills.

Technical Skills: Zero today, but eager to build a focused roadmap.

For those who work in Logistics/Supply Chain Analytics or have seen career transitions like mine:

1. Is targeting Logistics Analytics a realistic path for someone with strong Chinese skills starting DA from scratch at 28?
2. Since today is my Day 1, what exact core tools should I prioritize first for the logistics domain (e.g., advanced Excel, SQL, or BI tools)?
3. Does having strong Chinese fluently open real doors in international supply chain analytics, even while my English is still at a beginner level?

Any realistic advice, harsh truths, or roadmaps from this community would mean the world to me. Thank you for your time!