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.

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.

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.

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: https://explodingtopics.com/blog/data-analytics-stats 

• 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.

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

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.

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.

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.

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

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

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.

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:

Soft Skills

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

Factors Influencing Data Analyst Salaries in India

Several factors play a role in determining a data analyst’s salary in India. Your industry, experience, and skillset can have a significant impact.

Industry-Specific Salary Differences

Different industries offer different salary levels for data analysts:

• Finance:

  Data analysts in banks and financial institutions often earn higher salaries due to the importance of the data they manage.

• Healthcare:

  Analysts in healthcare work with sensitive data, such as patient records, and help improve healthcare services.

• IT and Tech:

  Companies like TCS, Infosys, and Wipro offer competitive salaries, especially as these firms handle large datasets.

• E-commerce:

  Platforms like Amazon and Flipkart rely heavily on data to track consumer behavior and optimize operations, which results in good pay packages.

Skill-Specific Salary Growth

Your skills can directly impact your salary growth. Here’s how:

• Advanced SQL:

  Being proficient in SQL allows you to handle more complex data, which can lead to better-paying roles.

• Machine Learning:

  Adding machine learning skills can significantly boost your salary as companies look for data analysts who can predict trends and automate processes.

• Advanced Data Tools:

  Expertise in tools like R or SAS can lead to higher salaries, especially in industries that require in-depth data analysis.

Factors That Influence Data Analyst Salaries

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.

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, showcasing where data professionals can expect the highest compensation:

• IT and Technology:

  In the tech sector, data analysts are key players in product development, customer analytics, and improving operational efficiency. Companies like TCS, Infosys, and Wipro rely on data professionals to streamline their services.

  • Key Roles:

    Data Analyst, Senior Data Analyst, Data Scientist

• Finance and Banking:

  Financial institutions like HDFC, ICICI, and Goldman Sachs depend on data analysts to manage risks, track market trends, and optimize customer insights. Given the critical nature of data in finance, salaries tend to be higher.

  • Key Roles:

    Risk Analyst, Data Analyst, Quantitative Analyst

• E-commerce:

  Companies like Amazon, Flipkart, and Myntra use data to track consumer behavior, optimize logistics, and improve marketing strategies. Data analysts in e-commerce help drive business growth and are rewarded accordingly.

  • Key Roles:

    Data Analyst, Senior Analyst, Business Intelligence Analyst

• Healthcare:

  Healthcare companies like Apollo Hospitals and Cipla rely on data analysts to improve patient outcomes, optimize healthcare processes, and analyze clinical data. The complexity of healthcare data leads to competitive pay packages.

  • Key Roles:

    Clinical Data Analyst, Healthcare Data Analyst

• Manufacturing:

  Manufacturing firms such as Tata Motors and Larsen & Toubro use data analytics to improve supply chain management, reduce production costs, and streamline operations.

  • Key Roles:

    Operations Data Analyst, Process Analyst

• Retail and FMCG:

  Data analysts in retail and FMCG companies like Hindustan Unilever and Procter & Gamble are tasked with analyzing consumer preferences, optimizing supply chains, and improving sales strategies.

  • Key Roles:

    Consumer Data Analyst, Sales Data Analyst

Data Analyst Salaries by Industry in India

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.

Best Cities for Data Analysts in India

Certain cities offer better pay due to higher demand for data professionals:

• Bangalore:

  India’s top tech hub, home to companies like Infosys, TCS, and Wipro, leading to high demand for data analysts.

• Mumbai:

  The financial capital, where companies like ICICI and Goldman Sachs offer competitive salaries for data roles in banking and finance.

• Delhi NCR:

  Major corporate hub with companies across sectors, offering a range of opportunities in IT and e-commerce.

• Hyderabad and Pune:

  Emerging as tech hubs, these cities provide good salaries and growing opportunities for data professionals.

• Chennai:

  Focused on IT services and manufacturing, offering moderate salaries for data analysts.

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

Top Data Science Skills to Learn

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.

How upGrad Can Help You Land a Job Abroad

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• 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!

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Become a Data Analyst: 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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