Data Analysts: 4 Top Skills to Master

Data Analysts: 4 Top Skills to Master

In the modern world, companies are realising the value of data-driven business and are in need of talents who can provide insight into collective data information. BHEF research found that business executives prefer job candidates with data skills. Meanwhile, the demand for analysts is expected to reach 2.72 million and growing as the world becomes more digitised, with 67 percent are data-enabled jobs and 23 percent are data science jobs. 

BHEF also reported that there is a current shortage of skills of data analysts that will not satisfy the growing needs. By 2021, 69 percent of employers expect candidates with data and science analytics skills to get preference for jobs in their organisation. Yet, only 23 percent of college and university leaders said their graduates will have those skills. 

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With the growing demand and shortfall of skilled talents to fill the demand, this is a great chance for job seekers to make a career transition. Based on BitDegree analysis, the entry-level salary of a data analyst is lower than the average US salary. However, the more experienced and the more skilled you become, the salary will be among huge paychecks in the US. In short, not only does this job offer a good salary in the future, the opportunity for this job is also wide open. 

So, are you interested in shifting to be a credible data analyst? If yes, make sure you upskill yourself. Here are the top skills for data analysts to master. 

Structured Query Language (SQL) 

This is a requirement in an industry-standard database language that is so important for data analysts. There are four basic operations that SQL can perform: INSERTs, SELECTs, UPDATEs, and DELETEs. In addition, SQL skills are an incredible and valuable skill employers desire. 

Microsoft Excel 

Excel is not just about a spreadsheet. There is more power under the hood of this tool, such as Macros and VBA. Excel is also the best tool at producing clear, polished charts and plots of business data. 

R and/or Python-Statistical programming 

R and Python programming is a powerful statistical programming language used to perform advanced and predictive analytics on big data sets. Mastering SQL and one of these programming languages will make you the most sought after candidates. 

Machine Learning 

Artificial intelligence and predictive analytics have made impacts in today’s businesses. These are also two of the hottest topics in the field of data science. Meanwhile, machine learning has been identified as an essential component in analyst’s toolkit. The concept of machine learning is vital to know in order to get ahead in the field. 

Take home note 

As organisations seek to do more with their data, they will need more individuals with the skills to access, analyse, and process their data. That means those skills above will improve the employability for everyone who learns them. Other than the skills above, a professional and credible data analyst must also possess excellent presentation skills, data visualisation, and critical thinking skills. All of this can be upskilled through experiences and online courses, such as Udemy, Khan Academy, Free Online course from a credible university, or Alison. Ready to be a data analyst now? Don’t wait long, improve and start your journey here.

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