Do Data Analysts Code

Do Data Analysts Code

Yes, most Data Analysts code as part of their day-to-day job. Coding allows data analysts to work with large datasets, automate processes, and perform complex analyses.

Some common programming languages that data analysts use include SQL, Python, R, SAS, and Julia.

Data Analysts commonly use SQL to get data from a relational database and analyze it to draw useful insights.

SQL (Structured Query Language) is a standardized programming language that is used to manage relational databases and perform various operations on the data in them.

SQL is one of the most popular tools for Data Analysts. Since SQL is a programming language, using it effectively requires a good understanding of coding.

SQL stats

But don’t worry, SQL and other programming languages used in Data Analytics are very easy to learn and work with.

SQL is not the only technical tool used by Data Analysts. There are many other popular technical tools employed by data analysts for data analysis, data visualization, data cleaning, and more.

Some of these tools include

  • Spreadsheet tools like MS Excel or Google Sheets.
  • Programming languages like Python, R, or Julia.
  • and Business Intelligence tools like Power BI, Tableau, or Looker.

Some of these tools require coding while others do not. For example, you can use VBA in Excel for more advanced analysis and automation.

Similarly, you can extend the functionality of Google Sheets using Javascript in Apps Script. You can also use DAX in Power BI to make custom functions.

All these require a good understanding of coding.

Data analysts may use coding to perform tasks such as data cleaning and transformation, data visualization, statistical analysis, and machine learning.

They may also use code to develop reports and dashboards to communicate insights and findings to stakeholders.

For example, I made a video on how to use Python (Matplotlib) to make a bar chart. It only required a few lines of code and it is very easy to understand.


Yes, you can become a data analyst even if you hate coding. While coding is an important skill for a data analyst, it is not the only skill required.

A data analyst must also have strong analytical and problem-solving skills, as well as the ability to communicate findings effectively to others.

Not all data analysts need to be proficient in coding. Some data analysts may use specialized software that does not require coding like Minitab, JMP, Tableau, etc.

while others may work with data that is already in a format that is easy to analyze.

If you do not enjoy coding, you may still be able to become a data analyst by focusing on other areas of the field.

For example, you may be able to specialize in data visualization or data reporting, which do not require as much coding expertise.

Alternatively, you may be able to work with a team of data analysts and contribute in areas that align with your strengths and interests.

It is worth noting that even if you don’t want to become a coding expert, it’s helpful to learn the basics of coding languages like SQL and Python.

This will make it easier for you to work with data and communicate your findings to others.


Python is not strictly necessary for all data analyst positions, having proficiency in Python can greatly enhance your ability to work with large datasets, automate tasks, and perform complex analyses.

Python has a large library of modules and tools such as Pandas, Numpy, and Matplotlib that can be used for data analysis, Data cleaning and manipulation, Data visualization, Statistical analysis, Machine learning, etc.

If you are interested in becoming a data analyst, I would recommend learning Python. It is a valuable skill that will make you more marketable to employers.


Not all data analyst positions require coding interviews. Some positions may focus more on other skills, such as data visualization or statistical analysis, and may not require extensive programming knowledge.

In the event that coding is required, the extent of coding involved in the interview will vary depending on the specific role and the company.

However, it is generally expected that data analysts have some basic coding skills, such as the ability to write SQL queries and use Python libraries for data analysis.

It is always a good idea to research the company and position you are applying for and prepare accordingly for any interviews.


Most Data Analysts code as part of their day-to-day job. Coding allows data analysts to work with large datasets, automate processes, and perform complex analyses.

Popular programming languages used by Data Analysts for coding include SQL, Python, R, SAS, and Julia.