Data Analyst Salary in India in 2026 [For Freshers & Experienced]
Updated on Dec 05, 2025 | 13 min read | 35.88K+ views
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Updated on Dec 05, 2025 | 13 min read | 35.88K+ views
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Quick Overview:
The Data Analyst salary in India varies significantly by experience, location, and skills, ranging from ₹3 LPA for freshers to over ₹18 LPA for senior roles.
In this article, we’ll provide a deeper look at the data analyst salary in India, covering how your experience level, skills, and even your city can dramatically change your earning potential.
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The average data analyst salary in India can vary depending on experience, industry, and skill set. Let’s look at the data analyst salary in India, categorized by different levels of experience.
Freshers entering the field of data analytics typically earn a competitive salary, especially in sectors like IT, e-commerce, and finance. Entry-level data analysts focus on tasks such as data cleaning, basic data interpretation, and reporting insights.
Factors influencing entry-level salaries:
After gaining a few years of experience, data analysts see a notable increase in salary. At this stage, they are often required to handle more complex datasets, apply advanced statistical techniques, and work on business intelligence platforms like Tableau or Power BI.
Mid-level data analysts often specialize in business intelligence, data science, or advanced statistical analysis. They typically have more autonomy and begin managing junior analysts.
With five or more years of experience, data analysts typically transition into senior roles. They manage large-scale data projects, mentor junior team members, and offer strategic data insights to drive business growth. Senior data analysts may also work closely with leadership teams.
At this level, senior data analysts may transition into roles such as Data Scientist, Data Engineer, or Analytics Manager, where they command even higher salaries.
Fresh data analysts entering the job market can expect competitive entry level data analyst salary in India, which varies depending on the industry, location, and the specific skills they bring to the table.
Here’s a detailed breakdown of what freshers in data analytics can anticipate.
Different industries offer varying data analyst salary for freshers. Here’s what you can typically expect:
Certain technical skills can impact the data analyst salary for freshers:
Skills like Python, SQL, and machine learning often lead to better starting salaries for data analysts.
Wondering how to get started in data science? Read this complete roadmap on How to Become a Data Analyst with No Experience in 2025!
The city in which you begin your career can also influence your starting salary. Here are the typical salary ranges for freshers in major cities:
Here are the typical salary ranges for freshers in major cities:
Bangalore and Mumbai usually offer higher starting salaries due to their strong tech and financial sectors.
Note: Salary data is sourced from Glassdoor and may vary based on company, location, and skills.
Also Read: Career Options After 10th | Top HR Salaries in India
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For experienced data analysts, salary growth is significant, especially as they gain advanced skills and move into specialized or leadership roles. Here’s a look at how experience influences the data analyst salary in India.
As data analysts gain more experience, their salaries tend to increase:
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Salaries also vary significantly by industry, with certain sectors offering more growth opportunities as data analysts advance in their careers:
Also Read: Career in Data Science: Jobs, Salary, and Skills Required
Moving into senior roles can bring significant salary increases. Here are typical salary ranges for senior data analysts or managers in various industries:
Leadership roles often come with additional responsibilities, and salaries reflect this added value, especially in industries like finance, IT, and consulting.
Note: Salary data is sourced from Glassdoor and may vary based on company, location, and skills.
Interested in learning more about data science salaries? Check out our detailed guide on data scientist salary in India for freshers and experienced professionals.
To become a successful data analyst, it’s important to have both technical and soft skills. These skills help you manage and analyze data to draw meaningful business insights.
These are the core technical skills every data analyst needs:
Technical Skill |
Description |
Python |
A widely-used programming language for handling and analyzing data. |
SQL |
Essential for retrieving and managing data from databases. |
Data Visualization |
Tools like Tableau and Power BI are crucial for presenting data clearly and effectively. |
Statistical Analysis |
Understanding statistics helps in interpreting data trends and patterns. |
Excel |
Advanced Excel skills, including pivot tables and macros, are often required. |
Basic Machine Learning |
Knowledge of machine learning can assist with predictive analysis and automation. |
Data Cleaning |
Preparing and cleaning data is vital for ensuring accurate and reliable analysis. |
You may also explore these 60 Advanced Excel Formulas to boost your data analysis game and stay ahead in this booming field.
In addition to technical skills, these soft skills are essential for success:
Soft Skill |
Description |
Critical Thinking |
Ability to analyze data carefully and draw logical conclusions. |
Clearly explaining data insights, especially to non-technical team members. |
|
Using data to find solutions to business challenges and improve processes. |
|
Attention to Detail |
Ensuring data accuracy and precision throughout the analysis. |
Collaboration |
Working with teams to understand their data needs and provide actionable insights. |
Enroll in upGrad’s Free Soft Skills Courses and strengthen your existing skills without any investment!
Data analyst salaries can vary significantly across industries, depending on the demand for data-driven decision-making in each sector. Industries like IT, finance, and e-commerce offer higher salaries due to the complexity and importance of data in their operations.
Here’s a detailed breakdown of the average salary of data analyst in India across different industries:
Industry |
Average Salary (₹/annum) |
Top Companies |
IT and Technology |
₹4-7 lakhs |
TCS, Infosys, Wipro |
Finance and Banking |
₹8-14 lakhs |
HDFC, ICICI, Goldman Sachs |
E-commerce |
₹9-13 lakhs |
Amazon, Flipkart, Myntra |
Healthcare |
₹7-14 lakhs |
Apollo Hospitals, Cipla |
Manufacturing |
₹3-5 lakhs |
Tata Motors, Larsen & Toubro |
Retail and FMCG |
₹7-10 lakhs |
Hindustan Unilever, Procter & Gamble |
Note: Salary data is sourced from Glassdoor and may vary depending on the company, industry, and location.
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The average salary of data analyst in India may vary significantly based on location. Cities like Bangalore and Mumbai offer higher salaries due to the presence of tech hubs, financial institutions, and large corporations.
City |
Average Salary (₹/annum) |
Key Industries |
Bangalore |
₹6-12 lakhs |
IT, Startups, Tech Giants |
Mumbai |
₹5-11 lakhs |
Finance, Consulting, Banking |
Delhi NCR |
₹5-10 lakhs |
IT, E-commerce, Corporate |
Hyderabad |
₹5-10 lakhs |
IT, Pharma, Startups |
Pune |
₹4-9 lakhs |
IT, Manufacturing, Financial Services |
Chennai |
₹4-8 lakhs |
IT, Manufacturing |
Note: Salary data is sourced from Glassdoor and may vary depending on the company and experience level.
If you're a data analyst looking to work abroad, now’s the time. Countries across sectors like IT, finance, and healthcare are actively hiring data professionals. For Indian analysts, this opens doors to exciting global careers.
Here’s a look at some of the top countries where data analysts are highly sought after:
United States:
Tech giants like Google and Amazon offer salaries between $94,000 - $146,000.
United Kingdom:
Financial institutions like Barclays and HSBC offer £41,000 - £57,000.
Canada:
Cities like Toronto pay between CAD 65,000 - CAD 90,000.
Germany:
With a strong focus on finance and manufacturing, salaries are around €50,000 - €80,000.
Australia:
Data analysts in Sydney and Melbourne earn AUD 80,000 - AUD 110,000.
If you're looking to start a career in data analytics, here’s a quick guide to help you get started.
1. Acquiring the Right Skills
SQL and Python:
Learn the basics of SQL and Python through platforms like upGrad.
Data Visualization:
Master tools like Tableau and Power BI to present data effectively.
Statistics:
Gain a solid foundation in statistics to interpret data trends.
2. Building a Portfolio
Projects:
Include real-world data projects in your portfolio, showing how you’ve used your skills to solve problems.
Case Studies:
Document each project with case studies, explaining the tools and approaches you used.
Kaggle:
Use Kaggle to participate in data competitions and build your portfolio.
3. Networking and Applying for Jobs
LinkedIn:
Optimize your profile and connect with professionals in the field.
Industry Events:
Attend meetups and webinars to grow your network.
Job Portals:
Apply for entry-level roles through platforms like Naukri, Indeed, and LinkedIn.
Data analytics is now a key part of business decisions in every industry. In India, salaries range from ₹3 lakh for freshers to ₹30+ lakh for senior roles, with even higher pay for specialized or global positions. Your earnings depend on skills, experience, industry, and location.
As data use grows, so does the demand for skilled analysts. Learning Python, SQL, data visualization, and statistics can help you stand out. The future is bright, start building your skills today.
Book your free counselling session with our experts to get top career guidance.
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A data analyst career stays strong in 2025 because companies depend on insights. You see steady demand and growth in tools. A data analyst salary remains attractive when you update your skills and focus on core analytics tasks across leading industries.
AI handles routine tasks but can’t replace your judgment or context understanding. You still guide decisions and interpret patterns. This keeps data analyst salaries stable, as your role combines technical work with business understanding that automated tools can’t fully match.
Yes, it continues to grow across finance, healthcare, tech, and e-commerce. Strong skills help you secure better data analyst salaries. When you adapt to new tools and methods, you stay relevant and open new long-term opportunities.
A data analyst salary in India with 5 years of experience usually ranges from ₹8–12 lakh. Pay changes based on skills, tools, and industry. Strong command of Python, SQL, Power BI, or Tableau helps you move toward the upper end.
Yes, it’s possible with 8–10+ years of experience. Senior roles in tech or multinational firms offer higher data analytics salary packages. You need strong technical depth, strategic thinking, and leadership abilities to reach this level.
Yes, it pays well in finance, tech, and e-commerce. A data analyst salary grows with skills in SQL, Python, and visualization tools. Your pay increases faster when you take on complex projects and deliver strong business insights.
You can learn basics in 3 months using Excel, SQL, and Python. Getting job-ready takes more practice. Projects help you aim for data analyst salary for freshers roles and improve your confidence for entry-level opportunities.
Data scientists earn more due to machine learning and modeling skills. A data analyst salary in India usually ranges from ₹4–10 lakh, while data scientists often see higher packages because they handle deeper predictive work.
Deadlines, data issues, and expectations can create pressure. Still, the role offers steady learning and problem-solving. Good planning helps you manage workloads while progressing toward stronger data analyst salaries over time.
Yes, startups often offer lower fixed pay but add stock options or faster growth. MNCs follow structured data analyst salary ranges. Both reward strong technical and analytical skills in different ways.
Remote roles may offer slightly lower pay in some regions, but many companies still maintain strong data analytics salary ranges. Skilled analysts continue to see solid demand across locations.
The entry level data analyst salary in India usually ranges from ₹3–5 lakh per annum. Skills in Excel, SQL, Power BI, or Python help you target higher starting pay and improve your chances in competitive roles.
Bengaluru, Mumbai, and Gurgaon offer stronger data analyst salary opportunities. These cities host major tech companies and global firms that pay more for skilled professionals.
Yes, industry strongly affects pay. Finance, tech, and e-commerce offer higher data analyst salaries, while education or public sectors usually pay less. Choosing high-growth sectors increases long-term earning potential.
Yes, certifications in Power BI, Tableau, or analytics programs strengthen your profile. They help you target higher data analytics salary brackets and stand out during evaluations.
Bonuses add 10–30% to your base pay in many companies. Some sectors offer higher incentives, which increases your total data analyst salary package over time.
Freelancers earn ₹500–₹2,000 per hour depending on skills and project type. Strong networking helps you secure steady work and competitive data analytics salary opportunities.
Pay grows quickly with consistent skill upgrades. Many analysts double their pay in a few years. Strong portfolios support better data analyst salaries across companies.
Yes, skills in Python, SQL, and R increase your value. These tools improve your efficiency and help you target stronger data analytics salary ranges as you take on deeper tasks.
A senior data analyst in India earns ₹8–18 lakh based on skills and tools. Expertise in cloud, advanced analytics, or big data often leads to higher data analyst salaries across top firms.
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3 articles published
Shaheen Dubash holds a BSc in Economics, Politics, and International Studies from the University of Warwick, along with an International Baccalaureate from UWC South East Asia. She has interned across...
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