Hiring Data Analysts: The Definitive Guide

Who is a Data Analyst and what are their responsibilities?

A Data Analyst is a person who collects and analyses data using various tools created for this purpose (e.g. MS Excel, QlikView, Microsoft Business Intelligence, Tableau), and then use it to prepare or improve business strategies and marketing plans of companies. A Data Analyst is a professionally trained person with well-developed mathematical skills, analytical skills and the ability to think logically. Data Analyst is one of the most important positions nowadays, as most of today’s companies are regularly looking to expand or at least improve their profitability. The most important job of a Data Analyst is to assess real-world risks, or more specifically, to analyze statistical data in order to evaluate the opportunities and risks of taking certain actions.

Who can become a Data Analyst?

In principle, anyone with the right determination, well-developed analytical skills and the ability to think logically can become a Data Analyst. The job is also suitable for people with attention to detail and high communication skills — essential for working with business teams.

Education and development Data Analyst

In the analyst profession, skills acquired during studies in fields such as computer science, telecommunications, database engineering, or management will certainly be useful. Graduates of economic or mathematical studies can also be effective analysts. This does not mean, however, that people who graduated with a degree in the humanities have no chance of success.

Data Analyst, Data Scientist, or Data Engineer?

Java, Python, R — what technologies does a Data Analyst need to know?

How to hire Data Analysts?

If your business is facing the challenge of harnessing and leveraging Big Data, it means that at some point you will need to hire Data Analysts. Hiring Data Analysts seems like a simple task, but it is not. On the one hand, you have a lot of competition for a limited pool of qualified candidates, and on the other hand, you need to make sure that your employee matches the needs and culture of your company. For this reason, searching for candidates on your own is very often time-consuming and may not bring the expected results

  • Make the hiring process mirror the reality of the hiring needs.
  • Run objective evaluations first to minimize biases.
  • Design the process to ensure that the candidate is sold on the idea of continuing the process.
  • Make decisions as a team.
  • Move fast.

The job market in Big Data

In 2020, demand for data analytics solutions increased by around 30%. According to TogetherData experts (the first Data Science House in Europe, which specializes in integrated Big Data analytics activities), one of the biggest challenges accompanying the implementation of data analytics solutions is the need for systematic integration of information. The importance of this aspect is growing, among other things, in the context of the systematic increase in the number of data sources that a typical company analyses or intends to analyze. Among the main factors that are catalyzing the demand for data analytics solutions, the authors of the analysis mention above the greater availability of services and solutions offered in the public cloud model. This is confirmed by estimates of global analyst firms. Cloud services are used by almost all of us. We keep a lot of data, files, and multimedia in them. Everyone is probably familiar with clouds such as Google Drive, Onedrive, or Dropbox.


The demand for Data Analysts is constantly growing, and as a result, more and more people are choosing to develop or retrain. They are currently among the most sought-after professionals on the labor market. Based on the information in this article, now you can see why Data Scientist has been identified as one of the most important professions in the 21st century. Experience in Big Data is not that important nowadays — or at least not the most important one — because the demand for analysts is so high that many companies cannot find specialists in this field. Therefore, this is an opportunity for juniors — novice Data Analysts who, with the right set of skills, can count on attractive employment. It should be emphasized that analytical competencies are appreciated in the labor market regardless of the position applied for. In the era of progressive digitalization, the ability to analyze data is a competitive advantage in relation to other candidates, and thus new employment opportunities open up.



Marketing Specialist at Next Technology Professionals - IT Recruitment | IT Outsourcing

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Aga Babicz

Aga Babicz


Marketing Specialist at Next Technology Professionals - IT Recruitment | IT Outsourcing