What’s the difference between a data analyst, data scientist, and data engineer?

Data analysts extract insights from data, data scientists build predictive models, and data engineers manage the infrastructure that stores and moves data.

Here’s a breakdown:

• Data Analyst – Focuses on data cleaning, dashboards, reporting, and insights
• Data Scientist – Uses machine learning, statistics, and Python to make predictions
• Data Engineer – Builds databases, pipelines, and architecture to move and store data

All three roles are part of a data team but focus on different stages of the data lifecycle.