1. data analyst: process and analyze a large amount of data, extract valuable information, and provide support for enterprise decision-making. Including market analysis, consumer behavior analysis, business process optimization and so on.

2. Data engineer: responsible for establishing and maintaining data pipeline to ensure effective data collection, storage and transmission. This is very important to support data analysis and application.

3. Machine learning engineer: develop and apply machine learning algorithms for prediction and analysis, automatic decision-making and pattern recognition.

4, artificial intelligence experts: using artificial intelligence technology to solve complex problems, including natural language processing, image recognition, intelligent recommendation, etc.

5. Business Intelligence Analyst: Use big data and analysis tools to provide business insight for enterprises and assist business decision-making.

6. Financial analyst: In the financial industry, use big data to analyze market trends and risk assessment.

7. Medical data analyst: In the medical field, apply big data to analyze medical records, diagnosis and patient processes to improve the quality of medical services.