Data Scientist vs Data Analyst. Which is Right for You
Decide by viewing the responsibilities, qualifications, skills, and salary of the two.
In 2020 it was estimated that the number of data-based job listings was approximately 2,720,000. What’s impressive is that this number grew over 700% from the year before.
Data has become the driving force for businesses, and the two prominent data roles that can be found at any company is a data analyst and data scientist.
If you’re interested in data and creating models you’ve probably heard about the two and were confused yourself. The issue is that the line that separates them has become blurred and even experienced data scientists/analysts get confused about the different roles.
In this article, I’m going to try to make that line a little more clear by going over the responsibilities, qualifications, skills, and salary of a data scientist versus a data analyst.
See what it takes to become a data scientist vs. a data analyst, and make a decision on which one is right for you.
Responsibilities
The main responsibilities differ based on how each position utilizes the data.
