How to work in IT with little or no math skills

Data analytics: An IT position with a little bit of math

Data analytics is an area of IT that allows organizations to make informed decisions based on, well, actually analyzing data. Contrary to popular belief, data analytics is not just about complex math equations and algorithms. In fact, many professionals in this field perform their roles with minimal emphasis on higher math - and still get paid big bucks.

What it's all about

Data analytics is about exploring, interpreting, and visualizing data. Specialists examine large amounts of data to uncover valuable insights and trends.

Statistical methods and algorithms play an important role in the analytical process and you can't do without calculations at all. Nevertheless, the daily tasks of such a specialist do not always require a deep knowledge of mathematics.

This field is constantly evolving, and modern tools and technologies have greatly reduced the need for deep mathematical knowledge. You can use online resources and artificial intelligence to simplify your life.

Tools and technology

One of the reasons data analytics has become more accessible is the proliferation of user-friendly tools and technologies. Platforms like Tableau, Power BI, and Google Analytics have simplified the process of analyzing data by leaps and bounds.

This advancement allows professionals to focus on interpreting and applying results rather than complex mathematical modeling. These tools provide intuitive interfaces that allow users to create visualizations and generate insights without delving into complex mathematical concepts.

SQL (Structured Query Language) is another essential tool for data analysts. It allows information to be extracted, manipulated and managed from databases without requiring deep mathematical knowledge. When working with SQL, understanding data structures and relationships is more important than technical knowledge.

Emphasis on business insights

Today's data analysts place a great deal of emphasis on understanding the context and goals of the business. Roughly speaking, sometimes it is much more important to understand the context of the business and how it wants to grow. Simply knowing statistics won't help much.

While statistical models and algorithms are important, the ability to translate data into actionable business strategies is much more important. Data analysts often collaborate with non-technical stakeholders, so effective communication skills and business acumen are highly valued in this field.

Is it difficult to learn

Many educational programs and certificates in data analytics are designed for people with different backgrounds, including those with limited mathematical knowledge. These courses focus on practical skills such as cleaning, visualizing, and interpreting data rather than mathematical concepts. This allows people from different backgrounds to move into data analytics jobs without feeling overwhelmed by the mathematical requirements.


Data analytics is an IT field that welcomes people with different skill sets. While math remains an important component of this field, advances in technology and the availability of user-friendly tools have made it possible for people with little math background to excel in data analytics.  

As organizations utilize these professionals more frequently, these types of job openings will become more and more common every year. Start learning this profession today - and soon you can become a pretty big specialist with good earnings. The main thing is that you should not be afraid to spend money on courses or take time to educate yourself.



leave feedback

Write a company review and tell us about your experience


contact us