Why I Left China as a Data Analyst

#job #career #dataanalyst #ai

In 2021, I graduated with my Master’s degree in Industrial Engineering in Germany and decided to move back to China. During the final year of my degree, I taught myself Python and SQL on DataCamp. I used those skills to pass a data case study and landed my first job at a small SaaS startup in Shanghai. A year later, I moved to an American company, RRD, also in Shanghai.

I worked there from 2022 to 2024. During those two years, I noticed a few undeniable trends in the data and tech industry. Eventually, these trends made me realize I needed to leave. Here is why.

1. Two Separate Software Ecosystems

At my job, I used Microsoft Teams and Power BI. However, many of my friends in domestic companies used local Chinese office suites and BI tools.

China has built its own independent software ecosystem. It works perfectly fine for those used to it, but it is completely separate from the global market. Because my skills and habits were rooted in global tools like Power BI, my employment options in China were almost entirely limited to foreign companies. That instantly shrank my job market.

2. The Great Tech Decoupling

Between 2022 and 2024, the decoupling of global and domestic tech became obvious. Salesforce shut down its direct China operations, and Tableau made similar moves. Many companies were forced to adopt domestic ERP software.

For a Data Analyst, the ERP system is your foundation. Domestic ERPs and SAP run on completely different logics. The same divide is happening with cloud infrastructure—global players like AWS, Azure, and GCP versus domestic Chinese clouds.

I realized I was standing at a crossroads. I had to choose a path: adapt entirely to the Chinese software ecosystem, or stick with the international one. Trying to jump back and forth between the two just means a massive loss of time and high learning costs.

3. Budget Constraints Over Value Creation

Profit margins for many companies in China are tight. Even in multinational companies, the high-profit departments usually stay abroad, leaving the Chinese branches with strict cost constraints.

For example, we did not have the budget to give everyone a Power BI Pro license. Because of this, a significant part of my job turned into finding cheap workarounds. I had to figure out how to set up local servers for Power BI or build wrappers for Tableau just to save money. Instead of spending my time analyzing data and creating real business value, I was wasting energy trying to bypass budget rules using cheap alternatives.

4. The AI Barrier

When the AI boom started, the tools were immediately inaccessible in China. Using them requires extra effort: setting up VPNs, buying virtual foreign phone numbers, and navigating blocks.

On top of that, a $20 monthly subscription for AI tools is expensive relative to local salaries. AI is developing at lightning speed. I didn't want my first step with every new technology to be researching how to secretly bypass regulations just to use it.

The Decision to Leave

Ultimately, I decided to leave China. The choice was half for my career and half for my family.

Today, I am back in Germany, working as a Data Analyst. Looking back, I am happy with my decision. I can focus my time on creating real value, and most importantly, I am staying seamlessly connected to the global tech frontier.