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IT Support Vs Data Analyst: What’s the Difference?

The rapid rate of innovation has increased the pace of technological change, providing numerous opportunities for those with the required abilities. IT support and data analysis are two roles that typically involve using computing technology; however, their focus and job responsibilities differ.

Keep reading to learn more about the IT support vs. data analyst job roles.

Both IT support and data analyst jobs are vital to improving the functions of organisations, but they have distinct descriptions. In this post, we compare and contrast IT support vs. data analyst, providing comprehensive information for those interested in pursuing a career as a data analyst or an IT support specialist.

IT support vs. data analyst job responsibilities

IT support is a catchall word that refers to a wide variety of endeavours that must be carried out effectively to ensure the optimal operation of an information technology system. This involves installing hardware and software, diagnosing and fixing problems, configuring networks, and assisting and directing users with technical questions and concerns.

On the other hand, gathering, evaluating, and comprehending information for the benefit of companies and organisations falls within the purview of data analysts. This involves building, testing, and deploying data models, developing algorithms to analyse data, providing reports and visualisations, and constructing a data pipeline.

The two positions often collaborate on finding solutions when dealing with complex business issues. IT support specialists offer the technical knowledge and assistance required to deploy data analysis solutions. In contrast, data analysts use their capabilities to analyse data and design strategies that assist companies and organisations in making educated choices.

IT support vs. data analyst job qualifications

While applicants with a bachelor’s degree are preferred by specific organisations, IT support technicians are typically required to have at least an associate degree in computer science or a discipline closely linked to it. In most cases, a bachelor’s degree is required of data analysts as well; however, the specifics of their study area might differ.

Many data analysts have academic backgrounds in mathematics, statistics, or computer science. Nonetheless, some data analysts may hold degrees in other fields, mainly if most of their educational background consisted of courses focused on data, such as those in economics or psychology.

IT support vs. data analyst working conditions

Professionals assisting with information technology and analysing data often work in offices. Yet, the atmosphere in which people operate is determined by the requirements of their employers.

For instance, a vast corporation’s information technology department might work together to find innovative solutions for any issues and challenges. On the other hand, a small firm could have one or two IT team members responsible for handling difficulties for the whole organisation.

IT support specialists often work during standard business hours; however, certain businesses demand them to be accessible around the clock, seven days a week.

This is because many IT-related problems arise outside of standard business hours. Data analysts work throughout regular business hours most of the time; nevertheless, some companies anticipate them to put in extra hours if it is required to do so.

These positions demand a high level of education and relevant professional experience. Moreover, candidates for both positions should have a solid grasp of computer systems and networks and the ability to adapt to emerging technology swiftly.

Read more: Five Types of IT Support Services for Every Business

IT support vs. data analyst capabilities

Support for Information Technology (IT) and Data Analysis are two of the most crucial and in-demand professions in today’s work environment. Each role needs different skills, but they also have specific characteristics in common.

Knowledge of computers and other forms of technology is necessary if one aspires to work in information technology support. IT Support specialists need to be able to diagnose and fix problems with both hardware and software problems and network and security issues.

Moreover, they should be able to install and configure systems and have a solid grasp of the architecture of computer systems. Certifications and practical experience gained on the job will be used to develop one’s technical talents even further.

In addition to having technical expertise, people who work in IT Support need to be able to interact effectively with clients and other team members and deliver clear and precise instructions. In addition, they should be capable of working individually and as part of a team and have good problem-solving and critical-thinking abilities.

Data analysts need a unique set of yet comparable talents. The ability to perform well in mathematics and an in-depth understanding of statistical concepts are essential qualifications for data analysts. Furthermore, they need to have a solid comprehension of data analysis and be competent in data mining and modification.

Last but not least, data analysts need to be able to effectively explain the obtained results to the other members of their team as well as to customers. They should also be capable of working individually and collaboratively and possess good problem-solving and analytical abilities. In addition, they should be able to work autonomously.

IT support vs. data analyst income

The annual income for an IT support specialist is, on average, £32,500, whereas the yearly compensation for a data analyst is £42,500 in the United Kingdom. Both incomes are subject to change based on the kind of business you work for, your experience, and the region in which you live.


The primary responsibilities of IT support specialists include providing technical support to users and diagnosing and fixing problems with software, hardware, and network infrastructure. On the other hand, data analysts must gather, organise, and analyse data to derive insights and guide business choices.

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