
Hire a Data Analyst
During the ten years between 2012 and 2022, the volume of data in the digital universe increased 15-fold, from 6.5 zettabytes (ZB) to 97 ZB. Moreover, it is estimated that by the end of 2025, that number will nearly double to 181 ZB! Translating that into more relatable terms, one zettabyte equals one trillion gigabytes of data.
The volume and spectrum of data collected will only continue to grow. However, as the volume of data we produce continues, the business insights that we have been able to glean from it have not. The gap between data gathered versus insights gathered has only continued to grow. One of the primary reasons that this gap exists is the shortage of qualified talent to do the work. Let’s talk about Data Analysts, the role of the specialist, and the skills they should have. Learn the essential tips for finding a Data Analyst and what you need to know to effectively hire one for your team as well.
What is a Data Analyst and What Is Their Role in IT Business
What do data analysts do in IT companies?

A data analyst is a specialist who breaks down data into its constituent parts to find answers to important business questions, such as:
- “How much did we earn last week?”
- “How did the new feature affect the outflow of users of our product?”
- “How to improve the app?”
In addition, the data analyst generates hypotheses for improving the product and runs A/B tests, then evaluates and proposes solutions. Sometimes it’s quite easy to make decisions while revenues have increased and app users look happy. However, sometimes the results are ambiguous, or, in addition to user indicators, it is necessary to take into account the load on the technical infrastructure.
Why You Should Hire a Data Analyst
What does a Data Analyst do and in what business processes will the specialist become a key player? We’ve summed up some of the main specialist’s responsibilities:
- Analytics systems development, implementation, and support.
- Complex datasets analysis and trends/growth opportunities identifying.
- Best practices report creation (based on data analysis and visualization).
- Effectiveness of internal systems evaluation, analysis of problems and inaccuracies, as well as the development and support of data processing and cleaning protocols.
- Gathering requirements from users of the product.
Data Analyst Hard & Soft Skills
Understanding which skills are required and which are preferred will help you find the most suitable candidates. Important to know: each company has its needs, so skills and preferred qualifications may differ in different cases. Below is an example of a job description for a skillful Data Analyst.
| Must have skills | Nice-to-have skills |
| 3+ years of experience working as a Data Analyst. | Basic knowledge of XML, JavaScript, and ETL. |
| Strong analytical skills, including data mining, evaluation, and data visualization. Knowledge of data analytics and visualization tools such as Tableau or Power BI. | Hands-on experience with statistical analysis using Excel, SPSS, and SAS. |
| Experience in writing queries, reports, and presentations. | Well-developed teamwork skills. |
| Strong SQL or Excel skills, as well as the ability to quickly grasp other data analytics tools. | — |

Tips for Hiring a Data Analyst
- Don’t look for a unicorn. People with all the skills described above are already involved in interesting projects, lead teams, or are very expensive to hire and retain.
- Try to highlight key candidate’s characteristics. Decide what you would like to implement or improve in the first place. Remember that finding someone who has worked with all of your tools can be rough. For example, if candidates have experience in MySQL, but not in Google BigQuery, consider hiring them, too. Adaptation in this case is minimal, and the choice of candidates is larger.
- Don’t be afraid to spend time interacting with a large number of candidates. Remember that you need an active employee. During personal communication, it will become clear whether the analyst is ready to be part of the product and develop it.
Pro Tip:
Flexible working hours can attract skilled candidates. According to the study, for 52% of respondents, flexible working hours are an important criterion when considering employment opportunities.
Hire Data Analysts with ITExpert!
Specialists of the IT recruiting agency ITExpert have been hiring tech/non-tech IT specialists for companies in Ukraine and all over the world since 2015: from the USA to Israel. Our clients include Sony, Deloitte, and Depositphotos.
We work with the most difficult vacancies in the IT field:
We are trusted by companies from 17+ countries of the world because we find the best tech talent.
Relevant candidates:
Our CTO helps you fine-tune your search.
Experienced recruiters:
We have case studies and backgrounds in different niches and domains, so we know what kind of candidates you are looking for.
Fast recruitment:
We show the first relevant candidates within the first 2–3 days.
Guarantee:
We replace a candidate if the specialist does not pass the probationary period.
Our Technical Recruiters and CTOs identify the best candidates and make their consideration decisions quickly and without bias.
Ready to Hire a Data Analyst? Request a quote and learn how ITExpert can help you attract and hire Senior IT candidates.


