4 Top Skills of a Data Analyst Every Recruiter Demands

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We live in a technologically advanced world that paves the way for operations and strategies across every sector. Today, technology has become an indispensable resource in our everyday life. Modern society depends on versatile technologies like AI, software, and data management to advance further in the world. Today, digital data is the new oil of the 21st century. Businesses use it as the fuel to make corporate decisions and stay ahead of the competition. It sets the measuring benchmarks for the company to estimate the time and resources required to achieve their long-term business goals. 

For that instance, they rely on data analysts to analyze the data and create reports to get insights. These data professionals use advanced tools to employ their technical skills and create detailed reports for businesses. Moreover, these meaningful reports allow the business owners to make critical decisions to keep their business afloat. Both small and large companies always have some data that can make their establishment stronger. According to research, we create two and a half quintillion bytes of data, which has a considerable value. With the workplaces becoming more tech-driven, this demand for using data for business strategies never seems to decline. It means all businesses will be demanding data analysts to provide data-centric reports to make efficient decisions. Suppose you seek a high-demand profession with a competitive salary and career advancement. In that case, a data analyst is a perfect choice. With that said, let’s discuss the four top skills of a data analyst that every recruiter demands. 

  1. SQL

SQL is the top skill that is required to break into data analytics. Since you will be dealing with the data mostly, SQL (structured query language) must retrieve and send it. It is a data-specific programming language that revolves around data management. It is also thought to be a more advanced version of excel that involves running queries for processing a large amount of data. This skill is required explicitly to work for the role of data analysts. It means that more than 90% of the employers always seek individuals that hold the technical skills of SQL. 

The recruiters always seek individuals that have the right educational background and experience in the field. For that instance, you can pursue a professional degree to expand your career and get better job prospects in the area. Most people never like the idea of pursuing an education along with their job because they cannot squeeze in some time for the studies. In this case, they can pursue an online master of science in analytics to expand their skills that fit best for the job market. The professional degree will introduce you to the world of programming and details for creating insightful data. 


When it comes to the discussion of skills for data analysis, business intelligence is not an exception. Every job opening also considers individuals with the skills in working with business intelligence tools. Business intelligence aids businesses in making the right decision based on factual data. The raw data is of no use to the company for making decisions for sales and marketing. For that instance, the data analysts with business intelligence tools can refine these data sets and convert them into visuals for real-time insights. 

Now the real question lies, how and when do they know which data to use to enhance the business strategies? The data analysts create reports using 3 different types of data analysis, descriptive, predictive, and prescriptive analytics. Descriptive analytics allows the data analysts’ professionals to create reports based on historical data. It may be the customer’s data and their engagement with the business in the recent year. In contrast, predictive analytics focuses on predictive data and the outcome for the strategy. Lastly, prescriptive analytics provides the solution with the right sets of data. Data analysts can incorporate these data analytics types during the data refining to create actionable information for the business owners. 


Apart from the programming language and business tools, you will also need to acquire data visualization mastery to meet recruiters’ demands. The data analyst’s whole concept is to visualize the data to make it more understandable for the business owners. The visualization means converting the data figures into graphics and illustrations to present business performance outlook properly. These figures can allow business owners to identify the patterns and make the right decision for the time. 

Just like oil, analysts refine the data and remove unnecessary figures for the time being. Then they convert the right models into graphics. For instance, pie charts, tables, Sankey Diagram, or bar charts explain the company at a glance. The graphics have proven to communicate better than traditional communication. It is also the reason why most recruiters lookout for individuals with data visualization skills. According to research, recent graduates are mostly pursuing degrees to acquire new skills for their respective careers. However, data visualization marks the top position because of the skill’s versatility for all types of fields. 


Not just technical, but data analysts must also have a variety of soft skills to catch employers’ eye. Recruiters demand strong and fast-paced data analysts who quickly adapt to the changes and monitor the business’s trending data. They value critical thinking to dig through the extensive data to collect valuable data sets. Converting data into digestible information requires strong thinking skills. For that instance, you must research to interpret the meaningful insights from the data. Moreover, whenever hiccups occur in the business, they should collaborate to solve the problems. 


Data analyst is an enriching career for individuals with interests and skills to work on professional grounds. These skills can give you clear insights for breaking into the profession and making the most out of it. With technological advancement creating a considerable buzz, there is a dire need for professionals with these skills. Aspirants can avail this opportunity to learn these skills and build a strong foundation in the career of data analysts. 

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