The most crucial competency for data analysts to possess to handle big datasets is their proficiency with Structured Query Language (SQL), the widely used industry standard database language. The following are the top 3 skills in business analytics - Critical thinking  To select the optimal course of action based on what is found to be true, partially true, or untrue, critical thinking employs a variety of skills to organise, analyse, and evaluate the information that is now available.  Business analysts study issues and opportunities using critical thinking, choose the solutions that will be most valuable, and work with stakeholders to determine how those answers will affect the situation.  R and Python  Data scientists and analysts frequently use R and Python, and each has a particular purpose in the process. Today, programming is a key ability in many industries, including business analysis. Business analysts can study and analyse enormous datasets more quickly and efficiently if they can write code. They can use it to adapt their strategies to a particular organisation's requirements. Data visualisation Advanced analytics depends on data visualisation, a component of many business intelligence solutions. It assists people in making sense of the vast amount of information or data produced. Data is graphically displayed via visualisation, such as a pie chart, graph, or other visual presentation. It is one of the top 3 skills in business analytics.