Data Analyst Salary in India 2025 (Freshers & Experienced)
Table of Contents
- Jaro Education
- 9, March 2025
- 11:00 am
Data has become an important business asset in our digital world. From the sites we visit to our online shopping habits, data is generated faster than in any era before. Companies like Amazon, Flipkart, and Paytm use this vast ocean of information to inform their strategies and direct decision-making. But — how do they do this, and what do they do? Enter the data analyst, a professional effectively handling a given body of data into useful ideas that guide everything, from marketing campaigns to new product releases.
With every passing day in recent years, with tremendous growth in finance, healthcare, e-commerce industries, etc, there is a high demand for skill sets that enable professionals to perform basic data analysis. In India, the field of data analytics is flourishing, with a pool of job options for freshers and experienced professionals alike. If you are someone who’s about to step into such fields, you would want to know how much you would be banking on being recruited for this position. According to Glassdoor, the average data analyst salary in India is INR 6,00,000.Â
If you are a data analyst, are you curious about your potential salary? Then, this blog outlines the data analyst salary ranges for freshers and experienced professionals in India, thus giving you a perspective on what to expect from this booming line of work. Let’s get started!
Why Is Data Analytics Increasing?
The analytics field in India, which contributes to some other disciplines like statistics, mathematics, and scientific research, is rapidly rising for some reasons. Understanding them will help clarify why a career in such fields makes perfect sense.
1. Emergence of Big Data
With companies like Netflix, Google, and Facebook producing huge data daily, almost by the terabyte, there are several reasons for this exponential growth; proper analytical work on this rich data could lead to proper business decisions. According to estimates and research on global big-data services industries, it was valued at around INR 25.2 trillion ($307.52 billion) in 2023 and is expected to reach approximately INR 75.2 trillion($924.39 billion) by 2032. These leaps in scale mean that more and more organisations will require skilled data analysts who can best interpret and use huge amounts of data.
2. Digital Transformation Across Various Sectors
The digital revolution is not limited to a single industry; it spans multiple sectors, each benefiting from data analytics in unique ways:
- Finance: Banks such as HDFC and ICICI are increasingly employing data analytics to manage risks, enhance customer service and streamline operations. For instance, they analyze customer behaviours to tailor financial products that meet individual needs.
- Healthcare: Organizations like Apollo and Cipla utilize data analytics to improve patient care and anticipate health trends. By analyzing patient data, these companies can provide personalized treatments and predict potential health crises.
- E-commerce: Platforms such as Flipkart and Myntra leverage data to create personalized shopping experiences. By tracking user preferences and behaviours, they can recommend products that customers are more likely to purchase, thus optimizing sales.
- Finance: Banks such as HDFC and ICICI are increasingly employing data analytics to manage risks, enhance customer service and streamline operations. For instance, they analyze customer behaviours to tailor financial products that meet individual needs.
*spiceworks.com
The High Demand for Data Analysts
The surge in data-driven decision-making has created a high demand for skilled data analysts. Here are some key reasons behind this trend:
- Volume of Data: Consider that every minute, people send 188 million emails, watch 4.5 million YouTube videos, and exchange 18.1 million text messages. This staggering volume of data necessitates professionals who can sift through it and extract actionable insights.
- Job Creation: The global data analytics industry is on track to create approximately 1.4 million new jobs between 2023 and 2027. This growth promises a wealth of opportunities for data analysts who possess the right skills and expertise.
- Volume of Data: Consider that every minute, people send 188 million emails, watch 4.5 million YouTube videos, and exchange 18.1 million text messages. This staggering volume of data necessitates professionals who can sift through it and extract actionable insights.
Salary Expectations for Data Analysts in India
Now that we understand the importance and demand for data analysts, let’s delve into the data analyst salary landscape.
 *interviewbit.com
Entry-Level Salaries
For those starting their careers, the salary for a data analyst in India typically ranges from INR 3 lakh to INR 6 lakh per annum. Fresh graduates with a degree in data science, statistics, or a related field can find entry-level positions in various industries. Companies may offer additional perks such as training programs and mentorship, which can further enhance skill development and future earning potential.
Mid-Level Salaries
As you gain experience and expertise, your earning potential will increase significantly. Mid-career data analysts can expect to earn between INR 6 lakh and INR 12 lakh annually. At this level, professionals often take on more complex responsibilities, such as managing projects or leading teams, which can justify the higher data analyst salary range.
Senior-Level Salaries
For seasoned data analysts with several years of experience, the financial rewards can be substantial. Senior data analysts or data scientists may earn between INR 12 lakh and INR 25 lakh or more per year. These roles often involve strategic decision-making, advanced analytics, and collaboration with senior management, making them critical to an organization’s success.
Data Analyst Salary Based On Locations
This table shows the data analyst’s salary based on locations:Â
| Locations | Avg. Annual Salary |
|---|---|
| Hyderabad / Secunderabad | INR 2 L/yr - INR 10.9 L/yr |
| Pune | INR 2 L/yr - INR 10.5 L/yr |
| New Delhi | INR 2 L/yr - INR 11 L/yr |
| Mumbai | INR 1.8 L/yr - INR 11 L/yr |
| Chennai | INR 1.6 L/yr - INR 9.6 L/yr |
| Kolkata | INR 1.3 L/yr - INR 10 L/yr |
| Gurgaon / Gurugram | INR 2.3 L/yr - INR 14 L/yr |
Experience-Wise Data Analyst Salaries
In this table, you will see the average data analyst salary for freshers​ and experienced professionals.
| Experience Level | Avg. Annual Salary |
|---|---|
| Fresher | INR 1 L/yr - INR 10 L/yr |
| 1 year | INR 1.5 L/yr - INR 10 L/yr |
| 2 years | INR 2 L/yr - INR 11 L/yr |
| 3 years | INR 2.2 L/yr - INR 13 L/yr |
| 4 years | INR 2.5 L/yr - INR 15 L/yr |
| 5 years | INR 2.5 L/yr - INR 18 L/yr |
| 6 years | INR 2.5 L/yr - INR 19.2 L/yr |
Data Analyst Salaries in Other Departments
Now we will see the average salary of data analysts in India in different departments according to their experience.
| Experience Level | Avg. Annual Salary |
|---|---|
| Data Science & Analytics 0 - 6 years exp. | INR 1.8 L/yr - INR 12.3 L/yr |
| Engineering - Software & QA 0 - 6 years exp | INR 1.8 L/yr - INR 12.3 L/yr |
| Customer Success, Service & Operations 0 - 6 years exp. | INR 1.8 L/yr - INR 12.1 L/yr |
| IT & Information Security 0 - 6 years exp. | INR 1.8 L/yr - INR 12.1 L/yr |
| Finance & Accounting 0 - 6 years exp. | INR 1.8 L/yr - INR 12 L/yr |
| Research & Development 0 - 6 years exp. | INR 1.8 L/yr - INR 12 L/yr |
| BFSI, Investments & Trading 0 - 6 years exp | INR 1.8 L/yr - INR 11.7 L/yr |
| Healthcare & Life Sciences 0 - 6 years exp. | INR 1.8 L/yr - INR 10 L/yr |
| Marketing & Communication 0 - 6 years exp. | INR 1.8 L/yr - INR 11.2 L/yr |
| Engineering - Hardware & Networks 0 - 6 years exp | INR 1.8 L/yr - INR 12 L/yr |
| Consulting 0 - 6 years exp | INR 1.8 L/yr - INR 12.3 L/yr |
| Procurement & Supply Chain 0 - 6 years exp | INR 1.8 L/yr - INR 12 L/yr |
Popular Companies for Data Analysts in India
In India, many companies are looking for freshers and experienced data analysts. So, let’s have a look at the top companies that are at the forefront of hiring analyst professionals.
| Company Name | Avg. Annual Salary |
|---|---|
| TCS | INR 1.4 L/yr - INR 9.7 L/yr |
| Cognizant | INR 2.5 L/yr - INR 10 L/yr |
| Accenture | INR 2.4 L/yr - INR 12 L/yr |
| Wipro | INR 1.3 L/yr - INR 9.3 L/yr |
| Capgemini | INR 1.8 L/yr - INR 9.5 L/yr |
| S&P Global | INR 2 L/yr - INR 10.1 L/yr |
| Tech Mahindra | INR 1.6 L/yr - INR 10 L/yr |
| Infosys | INR 2 L/yr - INR 9 L/yr |
| Deloitte | INR 3.6 L/yr - INR 12.6 L/yr |
| HCLTech | INR 1.6 L/yr - INR 9.3 L/yr |
Skills That Boost Your Earning Potential
With the onset of the data-driven era, data analytics is a lucrative career choice. Yet, continuous upgrading of your skills and knowledge is essential if you want to achieve the maximum data analyst job salary. Experienced data analysts, a demand that is consistently growing across a wide spectrum of industries, can enhance their rates of employment and earning potential with the right skills. Such skills can help you stand out in a highly competitive field of data analytics.
Statistical Analysis
A thorough knowledge of statistical methods is crucial for the effective interpretation of data and for shaping decisions. Mastery of these methods opens the way for analyzing data with accuracy, drawing appropriate conclusions, and making recommendations based on the evidence. Employers seek out people who can apply statistical principles to solve real-world problems because that skill is crucial for identifying trends, patterns, and outliers within data sets. If you are attending to A/B testing, regression analysis, or predictive modelling, a solid grasp of statistics will help you develop the insights that support and set the direction for your business.
Data Visualization
Data visualization refers to a technique where one outputs data using graphical modes to attract attention and simplify analysis. Data visualization is a visual technique to produce charts, diagrams, and gauges that communicate important information behind complex figures. Transforming data in the basic sense towards charting and dashboarding allows your stakeholders to ingest information easily. The more you become competent using visualization tools like Tableau, Power BI, or even Excel, the more persuasive your storytelling will be with data, thus making your analyses more valid and believable.Â
Programming Languages
Proficiency in programming languages such as Python or R is increasingly becoming a necessity in data analytics. These languages offer powerful libraries and frameworks for data manipulation, analysis, and visualization. Python, in particular, is known for its versatility and ease of use, making it a favourite among data analysts and data scientists alike. Learning these programming languages not only improves your analytical capabilities but also opens doors to automating repetitive tasks, thereby increasing your efficiency. Moreover, understanding programming equips you to work with large datasets and perform complex analyses that manual methods simply cannot handle.
Machine Learning
Familiarity with machine learning algorithms can dramatically enhance your career prospects by opening doors to advanced roles in data science. As businesses increasingly rely on predictive analytics to drive decisions, understanding machine learning concepts becomes crucial. Knowledge of algorithms such as decision trees, clustering, and neural networks enables you to develop models that can predict future trends based on historical data. This skill not only enhances your analytical toolkit but also positions you as a valuable asset in organizations looking to leverage data for competitive advantage.
Business Acumen
While technical skills are essential, understanding your industry or market provides invaluable context for your analysis. Business acumen allows you to interpret data in a way that aligns with organizational goals and strategies. By understanding the nuances of your industry, you can tailor your analyses to address specific challenges and opportunities. This insight makes your contributions more relevant and impactful, thereby increasing your value to employers. Professionals who can bridge the gap between data and business strategy are often sought after, as they can drive meaningful change within their organizations.
*dataexpertise.in
Preparing for a Career in Data Analytics
Entering the dynamic field of data analytics can be both exciting and rewarding. To prepare effectively, there are several key steps you can take.
- Education: Start by pursuing a degree in a relevant field such as data science, statistics, or computer science. These educational backgrounds provide a solid foundation in the essential skills needed for data analytics. Additionally, many universities offer specialized programs in data analytics that focus on practical applications and emerging technologies.
- Certifications: Obtaining certifications in data analytics or data science from reputable organizations can significantly enhance your credibility. Certifications signal your commitment to the field and showcase your skills to potential employers. Consider programs from well-known institutions or online platforms that offer courses tailored to data analytics.
- Networking: Building a professional network is crucial in the data analytics field. Attend industry conferences, workshops, and meetups to connect with experienced professionals. Networking not only opens doors to job opportunities but also provides valuable mentorship, which can guide your career development.
- Hands-On Experience: Gaining practical experience is vital. Participate in internships or engage in project-based learning opportunities. Working on real-world projects allows you to apply theoretical knowledge and develop your skills further. This hands-on experience will make you more marketable when seeking employment.
- Stay Updated: The field of data analytics is rapidly evolving, making it essential to stay informed about the latest trends and technologies. Follow industry news, subscribe to relevant publications, and participate in online forums or communities. Engaging in ongoing discussions will help you remain competitive and informed about new tools and methodologies.
Conclusion
Without a doubt, the field of data analytics is thriving, driven by the explosive growth of big data and digital transformation across various industries. With a high demand for skilled data analysts, the earning potential in this career path is substantial. By acquiring the right skills and gaining experience, you can position yourself for success in this dynamic and rewarding field.
As you choose to pursue data analytics, remember to get the right education, networking, and hands-on experience to enhance your career prospects. With dedication and the right resources, you can thrive in this exciting profession and contribute to the data-driven decision-making processes that shape the future of businesses in India and beyond. Also, if you want to boost your knowledge and excel in the field of data analysis, consider exploring the online programmes available at Jaro Education. We are a renowned online higher education and upskilling company. We are collaborating with India’s top institutions and schools to bring the right online courses and programmes from different fields. Visit our website to explore the best data analyst course​ and enrol today.
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