Traditional statisticians, statistics are no longer necessary. But you can continue to accumulate experience and become a data analyst in the "IT" world, i.e. big data analysis.

The reason why you can't continue to be a traditional statistician is very simple:

There is often only one person doing statistical analysis of data, not forming a team, and there is little communication and progress.

Companies that need statistical data analysis, but rare data analysis-related job level and management, want to develop in this position is more difficult.

Statistical analysis is not a job that makes money for the company, and it is rare to have a sense of achievement, especially not valued by the leadership.

Most companies are not big data cloud computing company, the company is neither high, treatment is not high.

While you can't be a traditional statistician, you can accumulate the ability to be a big data analyst and get into the IT world:

Accumulate the ability to analyze data in your current position, improve your business skills, and work hard to become an expert;

Learn about computers, mathematical and physical sciences, optimization of business models, design of data architectures, and operation of data capital in your current position, and aspire to get into a high-tech Companies;

A qualified big data analyst should master the skills are:

Statistical analysis: the law of large numbers, sampling the law of inference, rank sum test, regression analysis, analysis of variance, etc.;

Visualization aids: Excel, PPT, mind mapping, Visio;

Big data processing framework: Hadoop, Kaffka, Storm, Echo, and so on. Kaffka, Storm, ELK, Spark;

Databases: SQLite, MySQL, MongoDB, Redis, Cassandra, HBase;

Data Warehouse/Business Intelligence: SSIS Data Warehouse, SSAS SSRS, DW;

Data Mining Tools: Matlab, SAS, SPSS;

Artificial Intelligence: machine learning related knowledge;

Mining Algorithms: data structure, consistency, common algorithms;

Programming Languages: Python, R, Ruby, Java;

In conclusion, the traditional statistician, statistical analysis job is not a permanent job. But this job can be a good start and springboard.

A friendly reminder: big data analytics is actually across an industry, you need to re-learn the industry knowledge, the difficulty is certainly there, you have to have the belief that it is important to persist.