{"id":192130,"date":"2023-12-29T18:06:31","date_gmt":"2023-12-29T18:06:31","guid":{"rendered":"https:\/\/www.henryharvin.com\/blog\/?p=192130"},"modified":"2025-12-31T07:18:22","modified_gmt":"2025-12-31T07:18:22","slug":"data-analytics-salary-in-india","status":"publish","type":"post","link":"https:\/\/www.henryharvin.com\/blog\/data-analytics-salary-in-india\/","title":{"rendered":"Data Analytics Salary in India in 2026"},"content":{"rendered":"\n

In this digital era, India now is a start-up hub with a massive increment in the number of enterprises. Therefore, India is witnessing an increase in demand for data analytics professionals. As a result, the field of data analytics has now become a highly demandable career with exceptional growth and opportunities with promising salary packages. This article will give you an insight into the data analytics salary in India in 2026.<\/p>\n\n\n\n

<\/p>\n\n\n\n

Data Analytics<\/b><\/h2>\n\n\n\n

It is a process that involves several stages including collecting, cleaning, analyzing, and converting unstructured data into essential insights. That is used for proper decision-making and problem-solving by various organizations. Starting from the first step, gathering data from multiple resources, which is then cleaned and analyzed to obtain valuable information while ensuring accuracy and consistency. In short Data Analytics helps various organizations across different industries by providing actionable insights for decision making and strategic planning.<\/p>\n\n\n\n

Data Analytics is applicable across various industries such as IT, Finance, E-Commerce, marketing, healthcare, and more. It includes different techniques and tools that are widely used in various industries for analyzing and interpreting large sets of data for organizational growth. With ongoing advancements in technology and methodologies, the field of Data Analytics is also changing. So, it is essential for professionals to continuously update their skills to enhance marketability, increase earning potential, and for career growth.<\/p>\n\n\n\n

Data Analytics Salary in India in 2026<\/b><\/h3>\n\n\n
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\"Data<\/figure>\n<\/div>\n\n\n

Nowadays, organizations increasingly rely on data for decision-making. As a result, the demand for skilled data analytics professionals in India has improved a lot compared to the early years. And it has led to a considerable surge in salaries too.<\/p>\n\n\n\n

As per the latest industry reports, the average Data Analyst salary in India will be around \u20b94.0 LPA<\/a> in 2026. However, it varies depending on several factors such as experience, industry, location, skills, etc.<\/p>\n\n\n\n

Data Analytics Salary in India Based on Experience<\/b><\/h3>\n\n\n\n

Experience plays an important role in determining the salary packages for data analytics professionals.\u00a0 Here are some figures which show the average Data Analytics salary in India in 2026 with less than 1 year of experience<\/a> to 9 years:<\/p>\n\n\n\n

0 \u2013 3 Years – \u20b93.9 LPA<\/p>\n\n\n\n

3 \u2013 6 Years – \u20b95.1 – \u20b95.5 LPA<\/p>\n\n\n\n

6 \u2013 9 Years – \u20b96.3 – \u20b98.0 LPA<\/p>\n\n\n\n

Data Analytics Salary in India by Company<\/b><\/h3>\n\n\n\n

The pay scale of a Data Analytic professional can vary across industries and companies. So, here is the data to help you understand the variation of average Data Analytics salary in India in different companies<\/a>:<\/p>\n\n\n\n

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\n
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  Company Name<\/b><\/p>\n<\/td>

 Experience (Years)<\/b> <\/td>

Average annual salary (\u20b9)<\/b><\/p> <\/td><\/tr>

\n

TCS<\/p>\n<\/td>

\n

0-5<\/p>\n<\/td>

\n

6.9L<\/p>\n<\/td><\/tr>

\n

Accenture<\/p>\n<\/td>

\n

0-5<\/p>\n<\/td>

\n

6.5L<\/p>\n<\/td><\/tr>

\n

Ernst & Young<\/p>\n<\/td>

\n

0-2<\/p>\n<\/td>

\n

5.2L<\/p>\n<\/td><\/tr>

\n

Cognizant<\/p>\n<\/td>

\n

0-7<\/p>\n<\/td>

\n

5.3L<\/p>\n<\/td><\/tr>

\n

IBM<\/p>\n<\/td>

\n

0-8<\/p>\n<\/td>

\n

6.5L<\/p>\n<\/td><\/tr>

\n

Infosys<\/p>\n<\/td>

\n

0-5<\/p>\n<\/td>

\n

6.1L<\/p>\n<\/td><\/tr>

\n

PwC<\/p>\n<\/td>

\n

0-5<\/p>\n<\/td>

\n

10.3L<\/p>\n<\/td><\/tr>

\n

Tech Mahindra<\/p>\n<\/td>

\n

1-8<\/p>\n<\/td>

\n

7.4L<\/p>\n<\/td><\/tr>

\n

ICICI Bank<\/p>\n<\/td>

\n

1-3<\/p>\n<\/td>

\n

3.7L<\/p>\n<\/td><\/tr>

\n

HCL Tech<\/p>\n<\/td>

\n

1-5<\/p>\n<\/td>

\n

4.6L<\/p>\n<\/td><\/tr>

\n

Wipro<\/p>\n<\/td>

\n

1-4<\/p>\n<\/td>

\n

3.2L<\/p>\n<\/td><\/tr>

\n

TATA Power<<\/p>\n<\/td>

\n

3-4<\/p>\n<\/td>

\n

4.0L<\/p>\n<\/td><\/tr>

\n

Amazon<\/p>\n<\/td>

\n

3-4<\/p>\n<\/td>

\n

4.3L<\/p>\n<\/td><\/tr>

\n

Indian Oil Corporation<\/p>\n<\/td>

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3-5<\/p>\n<\/td>

\n

3.4L<\/p>\n<\/td><\/tr>

\n

Philips<\/p>\n<\/td>

\n

5-8<\/p>\n<\/td>

\n

17.0L<\/p>\n<\/td><\/tr>

\n

JP Morgan Chase<\/p>\n<\/td>

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5-9<\/p>\n<\/td>

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14.1L<\/p>\n<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

Data Analytics Salary in India by Location<\/b><\/h3>\n\n\n\n

One of the important factors that directly influence the pay scale for Data Analytics professionals is the location. Certain cities, which are in high demand for Data Analytic professionals will offer higher salaries compared to others. So, here is the comparison of average Data Analytics salaries in India in some of the major cities to understand the variation.<\/p>\n\n\n\n

New Delhi – \u20b94.2 LPA<\/a><\/p>\n\n\n\n

Gurgaon – \u20b94.0 LPA<\/a><\/p>\n\n\n\n

Mumbai – \u20b94.0 LPA<\/a><\/p>\n\n\n\n

Pune – \u20b94.0 LPA<\/a><\/p>\n\n\n\n

Bengaluru – \u20b94.0 LPA<\/a><\/p>\n\n\n\n

Hyderabad – \u20b94.7 LPA<\/a><\/p>\n\n\n\n

Chennai – \u20b93.3 LPA<\/a><\/p>\n\n\n\n

Data Analytics skills for higher salary potential<\/strong><\/b><\/h2>\n\n\n
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\"Data<\/figure>\n<\/div>\n\n\n

Undoubtedly, possessing several Data Analytics skills can often contribute to a higher salary. Some of the highly valued key skills are:<\/p>\n\n\n\n