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5 Technical Skills Every Data Analyst in China Should Have 



Silicon Valley Associates Recruitment has seen a steady demand for data analysts in China. 

The Chinese government has recognized the importance of data analytics and has made significant investments in promoting the growth of the industry. In 2019, the government launched a plan to develop the country's big data industry and increase the number of data analysts in China. This plan aims to make China a world leader in data analytics by 2030. 

As the demand for data analysts in China grows, so does the competition among professionals in the field. SVA recruitment receives hundreds of resumes from data science professionals looking for data analyst jobs in China every month. With more people seeking to enter the profession, it is becoming increasingly important for data analysts to differentiate themselves and demonstrate their value to potential employers. 

To stay at the top of the competition, data analysts should have a range of skills to prove their value. IT companies in China shared to SVA recruitment, an IT recruitment agency in China, the specific skills they are looking for in a data analyst. 

Students and those who want to advance in their careers as data analysts can focus on developing these specific in-demand skills that most companies in China are looking for. 


1. Proficiency in Programming Languages

Data analysts in China are expected to be proficient in programming languages such as Python, R, SQL, and Java. These languages are widely used for data processing, analysis, and visualization.  

SQL, being the language of data, is instrumental in managing and manipulating data in relational databases. It is a potent tool for extracting insights and querying data. By mastering SQL, data analysts can work more efficiently with data and perform complex data analysis tasks with ease. 

Python and R are other popular languages used for data analysis and machine learning. They enable data analysts to automate repetitive tasks, scale their analysis to larger datasets, and develop customized analysis tools. Moreover, data analysts who are proficient in programming can also comprehend data engineering concepts like data pipelines, data storage, and data processing, which empowers them to collaborate more effectively with data engineers and other technical team members. 

Having strong programming skills is a competitive advantage for data analysts. Employers are increasingly looking for data analysts who can work with large datasets, automate repetitive tasks, and build custom analysis tools. 


2. Big Data Processing

China is home to some of the world's largest companies, generating massive amounts of data. Thus, data analysts in China must have expertise in big data processing technologies such as Hadoop, Spark, and Hive. 

Big data processing refers to the techniques and tools used to process and analyze large and complex data sets that exceed the capabilities of traditional data processing systems. Distributed computing, cloud computing, and data warehousing are some of the technologies involved in big data processing. These technologies help in storing, processing, and analyzing vast data sets in a cost-effective and efficient manner. 

Hadoop, Spark, NoSQL databases, and data visualization tools assist data analysts and data scientists in extracting insights from extensive data sets. They use these insights to make informed business decisions, improve customer experiences, and more. 

Overall, big data processing is an essential component of modern data-driven businesses. With the right tools and techniques, organizations can unlock the value of large data sets and use them to drive innovation and growth. 


3. Knowledge of Machine Learning and Artificial Intelligence

As the demand for data-driven decision-making grows in China, data analysts must have a deep understanding of machine learning algorithms, neural networks, and artificial intelligence tools. It is now common to see in data analyst job descriptions that candidates must possess knowledge of these things. 

Data analysts should know machine learning because it is a powerful tool for analyzing large and complex datasets and extracting insights that might not be apparent through traditional data analysis techniques. Machine learning algorithms can be used to automate repetitive tasks such as data cleaning and data preprocessing. This can save time and increase efficiency. Data analysts who have knowledge of machine learning can collaborate more effectively with data scientists, engineers, and other technical team members. 

Additionally, Machine learning models can be used to build predictive models that can forecast future trends or outcomes. This is particularly useful in industries such as finance and healthcare.  

Employers are increasingly looking for data analysts who can work with large datasets and use advanced techniques such as machine learning to extract insights. By learning machine learning, data analysts can expand their skill set and advance their careers in the field. 


4. Business Intelligence and Analytics 

In China, data analysts must possess a strong grasp of business intelligence tools and analytics platforms. They should have the ability to utilize tools like Tableau and Power BI to create data visualizations and dashboards that effectively communicate insights to stakeholders. 

It's crucial for data analysts to be proficient in business intelligence (BI) and analytics as these skills are vital for transforming data into actionable insights that drive business decisions. BI and analytics empower data analysts to use data to make informed decisions that can enhance business outcomes. By understanding BI and analytics, data analysts can help their organizations become more data-driven and make better decisions. 

BI and analytics tools often require data from multiple sources to be integrated and transformed. By understanding BI and analytics, data analysts can help ensure that data is integrated and transformed correctly. It also enables data analysts to collaborate more effectively with team members. 

For data analysts looking to advance their careers in the field, BI and analytics are essential skills for transforming data into actionable insights that drive business decisions. Employers are increasingly seeking data analysts who can transform data into insights that drive business decisions, and by understanding BI and analytics, data analysts can expand their skill set and enhance their career prospects. 


5. Industry-specific Expertise

In the US, data analysts may work across a wide range of. On the other hand, data analysts in China typically require expertise in specific industries. This is because China has a strong focus on sectors such as finance, e-commerce, and manufacturing due to its unique economic landscape. 

Businesses in these industries seek individuals who can aid in making data-driven decisions and enhancing their operations. 

Compared to a generalist data analyst, an industry-specific data analyst possesses several advantages. They possess a deep understanding of the specific industry they are working in, enabling them to identify critical performance indicators (KPIs) and metrics that are vital to that industry. Additionally, they can develop insights and recommendations that are customized to the requirements of the industry. 

Furthermore, an industry-specific data analyst has a better grasp of the business processes and workflows that are exclusive to their industry. They can identify opportunities to optimize these processes using data-driven insights, and they can communicate these insights to key stakeholders in a meaningful and actionable manner. 

Overall, an industry-specific data analyst has a unique combination of industry knowledge, data expertise, and business acumen that enables them to provide valuable insights and recommendations to businesses operating in their industry. 

Competition among data analysts is growing as more people seek to enter the profession. To stand out, and become a data analyst in China, they  should continue to develop skills in programming, big data processing, knowledge of machine learning and AI, business analytics, and industry-specific expertise. By doing so, they can differentiate themselves and demonstrate their value to potential employers in a crowded job market. 

SVA Recruitment had successfully placed data analysts in China throughout the years. If you are looking for a data analyst job in China, we have open positions available. Visit www.svarecruitment.com/jobs for more info. 


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