Data Analyst Salary in India Fresher to Experienced
When most students ask about a data analytics course, they probably ask about the salary. What is the salary of a freshers? What is the rate of pay increase? Which skills will make the number higher? This guide provides salary ranges, based on experience, a comparison of roles, skills that increase salary, and a step-by-step approach to starting your job search.
What is the salary of a Data Analyst in India?
According to AmbitionBox data, Careers360, the salary range for data analysts in India is between ₹2 LPA and ₹14.4 LPA for individuals with 0 to 6 years of experience. It is typical for freshers to begin at the bottom of this range. Experience, solid SQL, Excel, Power BI and Python skills, and a portfolio of real projects will be rewarded with pay.
AmbitionBox also mentions that the average salary of an Associate Data Analyst is around ₹2.0 LPA with the highest reported salary being ₹18.3 LPA.
Data Analyst Salary in India based on Experience:Here is the Data Analyst Salary in India according to their Experience:
| Experience | Annual Salary (per year) |
|---|---|
| Fresher | ₹1.2 – ₹14 LPA |
| 1 year | ₹1.8 – ₹11.1 LPA |
| 2 years | ₹2 – ₹12.7 LPA |
| 3 years | ₹2.4 – ₹14.2 LPA |
| 4 years | ₹2.6 – ₹18 LPA |
| 5 years | ₹2.9 – ₹23 LPA |
| 6 years | ₹2.4 – ₹30 LPA |
There is a large distance between the bottom and the top of each row. It will be salary dependent on the company, city, and the tools you are familiar with and know how to show your work. If a candidate has SQL, Power BI and two solid projects, their position is entirely different from that of a candidate with only theory.
Therefore, deciding between Data Analyst and Data Scientist and Data Engineer Salary is not an easy task.
Data Analysts are in many ways the first port of call in the larger data realm. Here are the ranges reported by AmbitionBox for the related roles.
| Role | Reported Salary Range (per year) |
|---|---|
| Data Analyst (0–6 years) | ₹2 – ₹14.4 LPA |
| Data Scientist | ₹4 – ₹29.8 LPA |
| Data Engineer | ₹4 – ₹23 LPA |
Interested in learning more about the differences between these roles in the work? Check out our Data Analytics, Data Science, and Data Engineering article.
So, what factors influence a Data Analyst's salary?
1. Skills and Tools
Your skills are the single most thing you can control. Employers want to see the basic tools of the data analyst trade:
| Skill | What You Use It For | Learn More |
|---|---|---|
| Data analysis and Excel | Cleaning, formulas and pivot tables. | Excel in data analytics |
| SQL | Pulling and joining data from databases | Types of SQL software |
| Power BI or Tableau | Dashboards and visual reports | Tableau or Power BI dashboards and reports |
| Python for data analytics, deeper analysis, automation with Python | Automation, deeper analysis, working with large datasets | Python |
2. Experience
As indicated in the table above, the minimum and maximum amounts of pay increase as a person gains more years of experience. The most significant transitions typically occur when an analyst transitions from "reporting" to ownership of analysis, and when an analyst translates analysis into insights for business teams.
3. Company Type and Industry
Data analysts are in-demand positions across IT services firms, consulting companies, banks, e-commerce and product companies, and their salary ranges vary as well. The higher end of the range is occupied by larger companies and industries that are focused on analytics.
4. City
While the number of analysts is greater in metro cities, and there is a tendency for higher salaries, remote and hybrid roles are closing this gap.
5. Portfolio and Projects
Employers value job experience. A real portfolio that includes dashboards and case studies is more important than just a certificate. Check out our guides to data analytics projects for beginners and building a data analytics portfolio.
The way to boost your Data Analyst salary.
- Learn the essential tools. Start by learning Excel, SQL, Power BI or Tableau, then Python!
- Build real projects. Make dashboards and brief case studies using public datasets.
- Earn relevant certifications. Google Data Analytics, IBM Data Analyst and Microsoft Power BI are courses that can boost your resume.
- Practise interview questions. Many offers are won or lost with strong SQL and Excel answers. Begin with the more advanced excel interview questions.
- Stay current. The importance of cloud platforms, big data tools and AI-powered analytics is growing. Explore the transformation of data analyst roles with generative AI.
Data Analyst Career Growth Path
A normal trajectory is something like this:
- Junior / Associate Data Analyst: Cleans data, creates simple reports, and gets up to speed on business.
- Data Analyst: Takes charge of data analysis, creates dashboards and shares the findings.
- Senior Data Analyst: Manages analysis projects and provides guidance to junior Data Analysts.
- The Analytics Manager, BI Developer or Data Scientist role involves moving into management, reporting architecture or advanced modelling.
How long is the first step's journey to being job-ready? Let our guide to how long it takes to become a data analyst explain.
Learn Data Analytics with Softcrayons
Pay is commensurate with skill and skill is developed through practice. Softcrayons provides Data Analytics Training Program for students and professionals in Noida, Ghaziabad and online which includes the most in-demand tools by the employers, hands-on projects, resume preparation and mock interviews.
Not certain if the course is right for you? Schedule a free demo class and our team will lead the way!
Conclusion
The starting salary for data analysts in India is relatively low for freshers but gradually increases with experience, proficiency, and performance. Spread is large, but the question is not what is the average salary, but how can you get to the top of the range. Get to know the essential tools, create projects, prepare for interviews and stay up to date.
