How does the salary of a data analyst compare with a data scientist in India across different experience levels?
Share your salary insights, experiences, and career perspectives to help others understand the difference.
The salary difference between Data Analysts and Data Scientists in India generally increases with experience. Data Scientists often earn more because the role usually requires stronger skills in statistics, programming, machine learning, and predictive modeling.
However, salary depends heavily on experience, location, company, technical skills, and industry, so there isn’t one fixed figure for everyone.
If you’re deciding between the two careers, I’d suggest looking beyond salary and comparing the skills, responsibilities, and career growth involved in each role.
I found this comparison helpful for understanding the difference between the two career paths: Data Science vs Data Analytics. It gives a good overview of the roles, skills, and career differences before you decide which path suits you.
There is usually a noticeable salary gap, especially as experience increases.
In India, current Glassdoor figures put the median Data Analyst salary around ₹6.7 lakh/year, while Data Scientist roles show an average base pay around ₹15 lakh/year, with a typical base range of ₹10–22 lakh.
But I wouldn’t choose Data Science purely for the salary. Data Scientist roles generally require stronger skills in Python, statistics, machine learning, and experimentation, while Data Analyst roles focus more on SQL, Excel, BI tools, reporting, and business insights.
For someone starting out, Data Analyst can be an easier entry point, and you can move toward Data Science as your technical skills and experience grow.
I’d say the gap usually grows with experience. Data analysts can have a strong starting salary, but data scientists often see higher growth as they gain experience with ML, advanced analytics, and AI. Location, skills, and company also make a big difference.