Data Analyst Salary in India: Trends in 2025
Every time you shop online, scroll through reels, or book a cab, somewhere in the background, a data analyst is doing their job. They take the raw mess of numbers and turn it into something useful, like figuring out which products get more clicks or what features users love the most. No wonder data analyst jobs have become so important across companies, big and small.
In India, the data analyst salary has seen a steady rise, and with good reason. If you’re a fresher trying to land your first role or even someone with experience looking to step up the ladder, knowing where you stand in terms of pay is half the game. This blog breaks down the data analyst salary for freshers, compares earnings by city, and explores the skills that can boost your income in 2025 and beyond.
Table of contents
- What’s the Average Data Analyst Salary in India?
- Data Analyst Salary for Freshers (0–2 years)
- Mid-Level Data Analyst Salary (3–5 years)
- Senior Data Analyst Salary (5+ years)
- Data Analyst Salary by City in India
- Bengaluru
- New Delhi
- Mumbai
- Hyderabad
- Chennai
- Kolkata
- Gurugram
- Data Analyst Salary by Industry and Experience Level
- Skills That Impact a Data Analyst’s Salary
- Programming Languages: Python, R, and SQL
- Data Visualization Tools: Tableau, Power BI, and Excel
- Statistical Analysis and Machine Learning
- Business Acumen and Domain Knowledge
- Communication and Storytelling
- Top Companies Hiring for Data Analyst Jobs in India
- Fast-Track Your Data Analyst Career with GUVI’s Certified Programs
- Final Thoughts
- Frequently Asked Questions
- Is coding necessary to become a data analyst?
- What’s the difference between a data analyst and a data scientist?
- Which industries offer the highest data analyst salary in India?
- Are remote data analyst jobs common in India?
What’s the Average Data Analyst Salary in India?
If you’re wondering how much a data analyst earns in 2025, here’s a quick overview. According to Glassdoor, the average data analyst salary in India is around ₹7.5 lakhs per year. But honestly, that number can swing quite a bit based on your experience, skillset, and where you’re working.
Let’s break it down a little:
Data Analyst Salary for Freshers (0–2 years)
If you’re just starting, your salary will likely fall between ₹3 to ₹6 LPA. Companies don’t expect you to know everything on day one, but if you’re comfortable with tools like Excel, SQL, or Python, you’ll stand out from the crowd.
Mid-Level Data Analyst Salary (3–5 years)
With a few years of solid experience, you can expect somewhere between ₹6 to ₹12 LPA. At this stage, you’re usually handling more complex tasks, like predictive analysis, working on dashboards, or leading smaller projects.
Senior Data Analyst Salary (5+ years)
This is where things pick up. Senior data analysts often earn between ₹12 to ₹18 LPA, and in some top companies, it can go even higher. These roles involve strategy, team mentorship, and close collaboration with business heads.
(Source: Glassdoor India, 2025 data)
Data Analyst Salary by City in India
Salaries for data analysts can vary significantly across different cities in India. Here’s a snapshot of average annual salaries in some major cities:
Bengaluru
- Salary Range: ₹5.0 LPA- 10.0 LPA
- Average Base Pay: ₹7.0 LPA
- Source: Glassdoor
New Delhi
- Salary Range: ₹4.0 – ₹10 LPA
- Average Base Pay: ₹6.0 LPA
- Source: Glassdoor
Mumbai
- Salary Range: ₹4.0 LPA – ₹9.0 LPA
- Average Base Pay: ₹6.0 LPA
- Source: Glassdoor
Ahmedabad
- Salary Range: ₹4.0 LPA- ₹6.0 LPA
- Average Base Pay: ₹5.0 LPA
- Source: Glassdoor
Hyderabad
- Salary Range : ₹5.0 LPA- ₹10.0 LPA
- Average Base Pay: ₹6.0 LPA
- Source: Glassdoor
Chennai
- Salary Range: ₹4.0 – ₹8.0 LPA
- Average Base Pay: ₹5.0 LPA
- Source: Glassdoor
Kolkata
- Salary Range: ₹4.0 – ₹7.0 LPA
- Average Base Pay: ₹5 LPA
- Source: Glassdoor
Gurugram
- Salary Range: ₹5.0 LPA – ₹ 8.0 LPA
- Average Base Pay: ₹6.0 LPA
- Source: Glassdoor
Pune
- Salary Range: ₹5.0 LPA – ₹10.0 LPA
- Average Base Pay: ₹6.0 LPA
- Source: Glassdoor
These figures illustrate how location can impact salary expectations for data analysts in India. Factors such as cost of living, demand for data professionals, and the presence of tech companies contribute to these variations.
Note: LPA stands for Lakhs Per Annum.
Data Analyst Salary by Industry and Experience Level
The industry you choose to work in can significantly influence your salary as a data analyst. Here’s a breakdown of average salary ranges across various sectors in India:
Industry | Entry-Level (0–2 yrs) | Mid-Level (3–5 yrs) | Senior-Level (5+ yrs) | Source |
IT Services & Consulting | ₹2 LPA – ₹6 LPA | ₹6 LPA – ₹12 LPA | ₹12 LPA – ₹21 LPA | AmbitionBox |
Internet | ₹2.5 LPA – ₹7 LPA | ₹7 LPA – ₹13.5 LPA | ₹13.5 LPA – ₹20 LPA | AmbitionBox |
Software Product | ₹2.1 LPA – ₹8 LPA | ₹8 LPA – ₹15 LPA | ₹15 LPA – ₹25 LPA | AmbitionBox |
Financial Services | ₹3.4 LPA – ₹9 LPA | ₹9 LPA – ₹15 LPA | ₹15 LPA – ₹20 LPA | AmbitionBox |
Manufacturing | ₹3 LPA – ₹7 LPA | ₹7 LPA – ₹14 LPA | ₹14 LPA – ₹18 LPA | AmbitionBox |
Healthcare | ₹1.5 LPA – ₹3.8 LPA | ₹3.8 LPA – ₹7.5 LPA | ₹7.5 LPA – ₹10.4 LPA | AmbitionBox |
Artificial Intelligence (AI) | ₹1.5 LPA – ₹5 LPA | ₹5 LPA – ₹10 LPA | ₹10 LPA – ₹20 LPA | AmbitionBox |
Note: LPA stands for Lakhs Per Annum.
Skills That Impact a Data Analyst’s Salary
In the data analytics field, your salary isn’t solely determined by your job title or years of experience. The specific skills you bring to the table play a crucial role in shaping your earning potential. Employers highly value proficiency in certain tools and competencies, which can set you apart from other candidates.
Here are some key skills that can significantly influence your salary as a data analyst:
1. Programming Languages: Python, R, and SQL
Proficiency in programming languages like Python and R is essential for data manipulation, statistical analysis, and machine learning tasks. SQL remains a fundamental skill for querying and managing relational databases. Mastery of these languages enables analysts to handle large datasets efficiently and derive meaningful insights.
2. Data Visualization Tools: Tableau, Power BI, and Excel
The ability to present data clearly and compellingly is vital. Tools like Tableau and Power BI allow analysts to create interactive dashboards and visualizations that aid in decision-making. Advanced Excel skills also remain valuable for data analysis and reporting.
3. Statistical Analysis and Machine Learning
A strong foundation in statistics helps in understanding data distributions, trends, and patterns. Familiarity with machine learning algorithms and techniques can further enhance your analytical capabilities, allowing for predictive modeling and advanced data analysis.
4. Business Acumen and Domain Knowledge
Understanding the specific industry you work in—be it finance, healthcare, retail, or technology—enables you to contextualize data insights effectively. This domain knowledge allows you to ask the right questions and provide actionable recommendations that align with business goals.
5. Communication and Storytelling
Beyond technical skills, the ability to communicate findings clearly and persuasively is crucial. Being able to tell a compelling story with data ensures that your insights lead to informed decisions and strategic actions.
Also Read: Data Analyst Roles & Responsibilities in 2025
Top Companies Hiring for Data Analyst Jobs in India
Several leading companies in India are actively hiring data analysts, offering competitive salaries and opportunities to work on cutting-edge projects. Here’s an overview of some prominent employers:
Company | Focus | Key Skills | Salary Range (per annum) | Hiring Insight |
Tata Consultancy Services (TCS) | Developing AI-driven dashboards across various sectors | Prompt engineering and AI integration | ₹3.9 LPA – ₹6.9 LPA | TCS’s Ignite program offers rapid training for analysts transitioning into AI-specific roles. |
Accenture | Implementing generative AI tools like Analytics Co-Pilot to automate workflows | Validating AI-generated insights for accuracy and utility | ₹5.08 LPA – ₹11 LPA | Offers certifications such as Microsoft Fabric to enhance analyst skills. |
Flipkart | Real-time video analytics for warehouse and inventory management. | Expertise in computer vision and AI-powered pricing algorithms. | ₹4.88 LPA – ₹12 LPA | Be prepared to discuss AI-driven pricing case studies during interviews. |
Amazon India | Enhancing voice commerce through natural language processing (NLP). | Economic assessment of queries related to NLP | ₹4.65 LPA – ₹10 LPA | Integration of AWS Bedrock for AI and machine learning infrastructure. |
Mu Sigma | Applying climate analytics to address sustainability and environmental impacts. | Carbon footprint modeling and sustainability analytics | ₹4.46 LPA – ₹7.75 LPA | Emphasizes learning from failures through a “failure resume” approach. |
Fractal Analytics | Utilizing generative AI for drug discovery in healthcare. | Fine-tuning large language models (LLMs) for medical insights. | ₹8.7 LPA – ₹20 LPA | Predicting occurrences of rare diseases to improve healthcare preparedness. |
Zomato | Implementing drone delivery analytics to enhance tracking and efficiency. | Combining geospatial and time-series data for logistics optimization. | ₹11.5 LPA | Utilizing weather patterns to optimize drone delivery operations. |
Jio Platforms | Advancing 6G network analytics and AI research. | Expertise in telecommunications data analysis and AI integration. | ₹12 LPA – ₹27.5 LPA | Aggressive pursuit of 6G network analytics R&D to retain leadership in telecommunications. |
IBM | Leveraging AI and machine learning for enterprise solutions. | Proficiency in Python, SQL, and data visualization tools. | ₹7.75 LPA | Focus on integrating AI capabilities into business processes. |
Wipro | Providing data analytics services across various industries | Data modeling, statistical analysis, and BI tools expertise. | ₹4 LPA – ₹7 LPA | Emphasis on continuous learning and upskilling through internal programs. |
KPMG | Delivering data-driven insights for audit and advisory services. | Strong analytical skills and proficiency in data visualization. | ₹4 LPA – ₹10 LPA | Opportunities to work on diverse projects across sectors. |
Fast-Track Your Data Analyst Career with GUVI’s Certified Programs
Breaking into data analytics takes more than just watching a few tutorials. To truly stand out, you need hands-on experience, expert guidance, and the right tools to build the skills for a higher data analyst salary.
That’s where GUVI’s programs come in. If you’re looking for a structured path with live classes, industry-ready projects, and 1:1 mentorship, our IITM-Certified Data Science Course is a one-stop solution that offers a premium learning experience. It’s everything you’d expect from a data analyst course with placement support that’ll also help you transition smoothly into your first or next data role.
But if you’d rather learn on your own schedule, GUVI also offers a self-paced Data Analysis Project course that helps you gain clarity in applying data analytics concepts across the domain of project management.
Both programs focus on what matters: helping you build practical skills that translate into real opportunities.
Final Thoughts
The demand for skilled data professionals continues to grow across every major industry, from healthcare and telecom to retail and finance. And the market reflects that. According to Statista, the global Analytics as a Service (AaaS) market is projected to hit $69 billion by 2028, with companies like Google, IBM, and AWS leading the charge.
This kind of growth is not only becoming a trend, rather it’s also shaping how businesses function. If you’re building your skillset today, you’re placing yourself in the middle of something big, and for aspiring data analysts, this translates to a wealth of opportunities. By acquiring the right skills and certifications, you can position yourself at the forefront of this dynamic field, ready to capitalize on the growing demand for data expertise.
Frequently Asked Questions
Is coding necessary to become a data analyst?
Not always. While knowledge of languages like Python or R can give you an edge, many data analysts work efficiently with tools like Excel, SQL, Power BI, or Tableau. It depends on the role and the company.
What’s the difference between a data analyst and a data scientist?
Data analysts work with existing data to identify trends and help in decision-making. Data scientists build models and use algorithms to predict outcomes and automate decisions. The tools may overlap, but the roles have different scopes.
Which industries offer the highest data analyst salary in India?
While tech remains strong, sectors like finance, healthcare, and e-commerce have been offering some of the highest data analyst salaries due to the volume and importance of data in their operations.
Are remote data analyst jobs common in India?
Yes. Especially after 2020, many companies offer remote or hybrid options for data analyst roles, particularly in IT, fintech, and edtech sectors.