Data Analyst Salary in India in 2025 [For Freshers & Experienced]

Data is everywhere—from the websites you browse to your online purchases. But how do companies like Amazon, Flipkart, and Paytm use this information to make smarter decisions? 

Data analysts help businesses make sense of data by turning it into insights that shape everything from marketing strategies to product launches. Whether you’re just starting out or already have some experience, data analytics is a fast-growing field with plenty of opportunities in India. 

As industries like finance, healthcare, and e-commerce continue to evolve, the need for skilled data analysts has never been higher. But what about salaries? You’re probably wondering what earning potential comes from a data analytics role. 

In this blog, we’ll cover the salaries for both freshers and experienced data analysts in India to give you a clear picture of what to expect.Read along to gain deeper data analyst salary insights and find out how earning potential for these professionals can differ depending on several factors.

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What is the Average Data Analyst Salary in India? 

The average salary for a data analyst in India can vary depending on experience, industry, and skill set. Let’s look at the salary structure for data analysts in India, categorized by different levels of experience.

Entry-Level Data Analyst Salary (0-2 years) 

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.

• Role and Responsibilities: Basic data extraction, cleaning, and analysis. They also create simple reports and data visualizations to help teams understand business performance.
• Salary Range: ₹3-6 lakhs per annum

Factors influencing entry-level salaries:

• Industry: Tech and finance tend to offer higher starting salaries.
• Location: Cities like Bangalore and Mumbai offer higher salaries compared to Tier 2 cities.
• Skills: Proficiency in SQL, Python, and Excel tools can lead to better pay packages for freshers.

Mid-Level Data Analyst Salary (3-5 years) 

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.

• Role and Responsibilities: In-depth data analysis, statistical modeling, predictive analytics, and contributing to business strategy decisions.
• Salary Range: ₹6-12 lakhs per annum

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.

Senior Data Analyst Salary (5+ years) 

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.

• Role and Responsibilities: Managing complex data projects, applying machine learning algorithms, strategic decision-making, and leading data teams.
• Salary Range: ₹8-18 lakhs per annum

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.

Why Is Data Analytics Booming?

Data analytics is a must-have for businesses across the globe. Here’s why the field is booming:

1. Growth of Big Data

• Companies like Netflix, Google, and Facebook generate massive amounts of data daily. This data holds valuable insights that help businesses make better decisions, but only if they can analyze it effectively.
• The global big data market was valued at $307.52 billion in 2023 and is expected to grow to a staggering $924.39 billion by 2032, which means more businesses will need data analysts to stay competitive.

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2. Digital Transformation Across Industries

• Finance:

  Banks like HDFC and ICICI use data analytics to manage risks and improve customer service.

• Healthcare:

  Companies like Apollo and Cipla use data to enhance patient care and predict health trends.

• E-commerce: Platforms like Flipkart and Myntra use data to personalize shopping experiences and optimize operations.

Looking for a career in these booming industries? Discover the best career options in India with high salaries and promising future scope today!

Why Data Analytics is a High-Demand Career

As businesses increasingly rely on data-driven decision-making, the demand for skilled data analysts has skyrocketed. Here’s why this career is in such high demand:

• Every minute, people send 188 million emails, watch 4.5 million YouTube videos, and exchange 18.1 million text messages. Companies need professionals who can turn this enormous volume of data into actionable insights.
• Between 2023 and 2027, the global data analytics industry is expected to create 1.4 million new jobs. That means plenty of opportunities for data analysts with the right skills.

Key Stats Behind the Data Analytics Boom

(Source)

• 91.9% of companies report seeing real benefits from their investments in data analytics.
• 3 out of 5 businesses are using data analytics to fuel innovation and stay ahead of the competition.
• The Analytics as a Service (AaaS) market is expected to grow to $132.9 billion by 2032, showcasing the critical role of analytics in today’s business landscape.

Data Analyst Salary for Freshers in India

Fresh data analysts entering the job market can expect competitive salaries that vary 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.

Data Analyst Freshers Salary by Industry

Different industries offer varying salary packages for fresh data analysts. Here’s what you can typically expect:

• E-commerce: ₹4-6 lakhs per annum
• Finance: ₹4-7 lakhs per annum
• IT/Tech: ₹4-9 lakhs per annum
• Healthcare: ₹4-6 lakhs per annum
• Retail and FMCG: ₹6-8 lakhs per annum
• Manufacturing: ₹5-10 lakhs per annum

Data Analyst Freshers Salary by Skills

Certain technical skills can impact the starting salary of a fresher data analyst:

• Python and SQL: ₹2-4 lakhs per annum
• Data Visualization (Tableau, Power BI): ₹4-10 lakhs per annum
• Machine Learning Basics: ₹3-5 lakhs per annum
• Statistical Analysis (R, Excel): ₹7-14 lakhs per annum

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!

Data Analyst Freshers Salary by City

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: ₹5-9 lakhs per annum
• Mumbai: ₹3-7 lakhs per annum
• Delhi: ₹4-7 lakhs per annum
• Hyderabad: ₹4-7 lakhs per annum
• Chennai: ₹4-6 lakhs per annum

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

Data Analyst Salary for Experienced Professionals in India

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 salary levels for data analysts in India.

Data Analyst Salary Growth with Experience

As data analysts gain more experience, their salaries tend to increase:

• 5-10 years of experience: ₹7-16 lakhs per annum
• 10+ years of experience: ₹6-20 lakhs per annum
• Senior Management/Leadership roles (15+ years): ₹20-30+ lakhs per annum

Ace your Data Analyst interview and confidently answer any question with our helpful compilation of the top 50 Data Analyst Interview Questions and Answers

Data Analyst Industry-Specific Salary Growth

Salaries also vary significantly by industry, with certain sectors offering more growth opportunities as data analysts advance in their careers:

• Finance: ₹6-10 lakhs per annum after 5-10 years of experience
• IT/Tech: ₹9-14 lakhs per annum after 5-10 years
• Consulting: ₹12-18 lakhs per annum after 5-10 years
• E-commerce: ₹10-15 lakhs per annum after 5-10 years
• Healthcare: ₹8-12 lakhs per annum after 5-10 years

Data Analyst Leadership Roles and Salary Impact

Moving into senior roles can bring significant salary increases. Here are typical salary ranges for senior data analysts or managers in various industries:

• Data Analytics Manager: ₹12-20 lakhs per annum
• Data Scientist: ₹15-30 lakhs per annum
• Chief Data Officer (CDO): ₹10-70 lakhs per annum
• VP/Director (Data Analytics): ₹70-90 lakhs per annum

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.

Skills Required to Become a Data Analyst

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.

Technical Skills

These are the core skills every data analyst needs:

You may also explore these 60 Advanced Excel Formulas to boost your data analysis game and stay ahead in this booming field.

Soft Skills

In addition to technical skills, these soft skills are essential for success:

Enroll in upGrad’s Free Soft Skills Courses and strengthen your existing skills without any investment!

Data Analyst Salaries by Industry

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.

Top-Paying Industries for Data Analysts

Here’s a detailed breakdown of average salaries for data analysts across different industries,

Note: Salary data is sourced from Glassdoor and may vary depending on the company, industry, and location.

Data Analyst Salaries by Location

Salaries for data analysts in India 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.

Data Analyst Salaries by Location in India

Note: Salary data is sourced from Glassdoor and may vary depending on the company and experience level.

Scope of Data Analyst Jobs Abroad

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.

Key Countries with High Demand for Data Analysts

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.

Interested in exploring global career opportunities? Check out the average salary in Singapore for more insights.

How upGrad Can Help You Land a Job Abroad

upGrad makes your global career journey easier:

• 80+ University Partners:

  Get credentials from leading global universities like Clark University and Yeshiva University.

• 10K+ Careers Transformed:

  Thousands of students have secured jobs worldwide through upGrad’s career support.

Ready to make your move? Check out upGrad’s programs and start your international data analytics career today!

How to Become a Data Analyst: A Step-by-Step Guide

If you're looking to start a career in data analytics, here’s a quick guide to help you get started.

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.

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.

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.

Conclusion

Now that you’re familiar with the opportunities available for data analysts, both in India and abroad, it’s the perfect moment to focus on advancing your skills. Whether you’re just beginning or want to enhance your expertise, upGrad's Data Analytics courses offer practical learning that can help you succeed. With upGrad, you’ll gain the knowledge needed to grow as a data analyst and explore opportunities worldwide.

Explore upGrad’s courses and start your journey toward a rewarding career today!

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