What Is a Python Data Analyst and How to Become One

By ZipRecruiter Marketplace Research Team

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

The preferred qualifications to become a Python data analyst include a degree or equivalent experience, professional certification, and Python coding skills. You can start out on this career path by earning a bachelor’s degree in computer science, data science, math, analytics, or a related field. Some employers consider applicants with a technical degree or high school diploma who also have proven experience working with data sets and Python script. In general, you also need to know other database-related languages such as SQL. For more senior roles, employers may require candidates to have a master’s degree.