What is Data Analyst Salary in India for Freshers and Experienced?

What is a Data Analyst?

A data analyst collects, processes, and performs statistical analyses on a large dataset. As a layman, a data analyst will retrieve and gather data, organize it and discover how to use data to answer questions and solve problems.

Data analyst is a combination of technical skills and leadership skills. Technical skills include knowledge of database languages such as SQL, R, or Python, and Leadership skills help a data analyst in decision-making and problem-solving tasks.

What Do Data Analysts Do?

Data analysts play a crucial role in today’s data-driven world, transforming raw data into meaningful insights that drive decision-making and strategy. They are responsible for collecting, processing, and performing statistical analyses on large datasets. By leveraging tools and methodologies, they help organizations understand trends, patterns, and correlations in their data.

In addition to data collection and analysis, data analysts often create visualizations and reports to present their findings in a clear and actionable manner. They work closely with stakeholders to ensure that their insights align with business objectives and help guide critical business decisions. Through their expertise, data analysts enable organizations to optimize operations, improve performance, and gain a competitive edge in the market.

Data Analyst Career Paths
When it comes to choosing a career in data analytics, it’s we have a bigger picture to tell you about this. In this article, we’ll let you explore some of the most common data analyst career paths. By the end, you’ll have a clear idea of how to get started as a data analyst and where your career might take you once you’ve got your foot in this boat.

Whats the effective data analyst career path?Lets find out with the below graph:

Skills & Qualifications for Data Analyst?

Companies use data analysts specifically to improve outcomes like productivity to understand the organization’s needs. Do you know what skills you should learn to be a successful data analyst than by looking at the data? Some responsibilities for data analysts include gathering data, finding patterns, writing reports, collaborating with stakeholders, analyzing & presenting findings, and much more.

Here are the skills and qualifications required to become a Data Analyst:

• Programming Languages: Data analysts use programming languages such as R or SAS to gather clean data for statistical analysis and data visualization.
• Creative and Analytical Thinking: Creative and analytical thinking are key attributes of a good data analyst.
• SQL Databases: SQL databases are essentially a set of relational databases with structured data. Here, data is in tables, and an analyst will pull information from different tables to perform analysis.
• Database Querying Languages: A popular querying language used by data analysts is SQL. There are variations of this language like PostgreSQL, T-SQL, PL/SQL (Procedural Language/SQL).
• Data Mining, Cleaning, and Munging: When you cannot store data neatly in a database, data analysts use other tools to gather unstructured data.
• Advanced Microsoft Excel: Having an excellent handle on Microsoft excel and advanced analytics techniques is always a perk.
• Machine Learning: Although it is not a specific demand, Data analysts with machine learning skills are incredibly valuable in the organization.

Data Analyst Duties and Responsibilities
What does a data analyst do? Here is the answer to this question. Depending on the type of organization and to which extent the business has adopted data-driven decision-making practices, a data analyst conducts these duties and responsibilities in an organization-

• Designing and maintaining data systems and databases; includes fixing coding errors and other data-related problems.
• Refining data from primary and secondary sources and then reorganizing it.
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
• Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
• Collaborating with all the programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.

Average Data Analyst Salary in India

One of the perks about working as a data analyst is that they’re in high demand in India. A data analyst’s salary in India is directly or indirectly dependent on how updated and skilful you are. If you don’t want to get stick in a city, or one country, working as a data analyst can offer you that freedom and flexibility.

The average salary for a Data Analyst is ₹510,614 in 2024

Factors Affecting Data Analyst Salary in India

As it involves expertise in the area of programming, machine learning, data mining, and data visualization, the demand for data analysts is increasing exponentially. The Data Analyst Salary depends on many factors:

1. Experience
2. Skills
3. Location
4. Employer
5. Other Parameters

1. Experience Affects Data Analyst Salaries
The graph below shows the range of salaries for different levels of experience for analysts.

The experience level plays a vital role in the recruitment of data analysts. Discussed below are different levels of experience that a data analyst comes across in their career map.

• An entry-level Data Analyst with less than 1 year of experience earns an average total compensation of ₹410,133, based on 713 salaries.
• An early career Data Analyst with 1-4 years of experience earns an average total compensation of ₹502,283, based on 2,785 salaries.
• A mid-career Data Analyst with 5-9 years of experience earns an average total compensation of ₹806,567, based on 738 salaries.
• An experienced Data Analyst with 10-19 years of experience earns an average total compensation of ₹1,113,396, based on 196 salaries.
• Data Analysts in their late career (20 years or more) earn an average total compensation of ₹1,500,000.

2. Skills That Affect Data Analyst Salaries in India 

While the exact statistics on how SQL, Microsoft Excel and Python affect Data Analyst Salaries in India are difficult to find, there is general agreement that these are in-demand skills and can significantly affect your earning potential.

Here’s what I found on the web:

• SQL skills can increase your salary by an average of INR 5,60,556.
• Microsoft Excel skills can increase your salary by an average of INR 4,82,338.
• Python skills can increase your salary by an average of INR 5,89,639.

It’s important to note that these are just averages, and your actual salary will depend on a number of other factors, such as your experience, education, and the specific company you work for.

3. Data Analyst Pay Difference by Location in India

• Data Analysts in Bangalore, Karnataka earn an average of 18.1% more than the national average.
• Data Analysts in Gurgaon, Haryana earn 18.0% more than the national average.
• Data Analysts in Hyderabad, Andhra Pradesh earn 10.0% more than the national average.
• The lowest salaries for Data Analysts are found in Mumbai, Maharashtra (3.1% less than the national average), Pune, Maharashtra (3.0% less), and Chennai, Tamil Nadu (0.5% less).

4. Data Analyst Salaries by Employer

• The top respondents for the job title Data Analyst are from Tata Consultancy Services Limited, Accenture, and Amazon.com Inc.
• Reported salaries are highest at Accenture, with an average pay of ₹610,419.
• EY (Ernst & Young) and Deloitte also offer high salaries for this role, with averages around ₹598,998 and ₹595,338, respectively.
• Amazon.com Inc pays the lowest, with an average salary of ₹427,040.
• Capgemini and Tata Consultancy Services Limited also pay on the lower end, with average salaries of ₹468,594 and ₹470,135, respectively.

5. Other Parameters Affect Data Analyst Salaries

To pursue a rewarding career in data analytics, aspirants need to put in tremendous effort in learning new trends in the market every day for a successful career.

What Are Popular Skills for Data Analyst?

Data analysts leverage a variety of skills to interpret data and provide actionable insights for their organizations. Key skills in this field include:

1. Statistical Analysis and Data Modeling: Proficiency in statistical techniques and data modeling is crucial for analyzing trends, patterns, and correlations in large datasets.
2. Data Visualization: The ability to create clear and effective visual representations of data using tools like Tableau, Power BI, and Excel is essential for communicating findings to stakeholders.
3. Programming Languages: Knowledge of programming languages such as Python, R, and SQL is important for data manipulation, analysis, and automation of tasks.
4. Data Management: Skills in data cleaning, data warehousing, and data governance ensure that data is accurate, consistent, and accessible for analysis.
5. Business Intelligence: Understanding business operations and objectives allows data analysts to align their analyses with strategic goals and provide insights that drive business decisions.
6. Machine Learning: Familiarity with machine learning algorithms and techniques enables data analysts to predict trends and automate decision-making processes.
7. Critical Thinking and Problem Solving: Strong analytical thinking and problem-solving skills help data analysts identify issues, evaluate solutions, and implement effective strategies based on data insights.
8. Communication Skills: The ability to clearly articulate findings and recommendations to non-technical stakeholders is vital for ensuring that insights are understood and acted upon.

These skills equip data analysts to handle complex data challenges and contribute significantly to their organizations’ success.

Why Should You Become a Data Analyst?

An analyst needs to have a versatile skill set in their profile. Here are the reasons why should you become a Data Analyst-

• Data analysts are in high demand- Data analysts are constantly learning and advancing in their respective fields, leading to rising demand in the market.
• Data analysts are evolving- With time and trends, you can improve your skills and progress in your career as a data analyst.
• Data analysts can work in many types of companies- You have the opportunity to work for startups, agencies, large corporate or even freelance as a data analyst.

Popular Employers for Data Analyst

The job profile is promising, giving opportunities in multiple industries and the nature of the job often allows for remote work flexibility and even self-employment. Here is the list of top Companies hiring for Data Analyst jobs in India-

1. Tata Consultancy Services Limited
2. Accenture Technology Solutions
3. Ernest & Young
4. IBM India Private Limited

 Summary

With the rising demand in this field and increasing current salary trends, now it is the right time to up-skill and takes advantage of the Data Science career opportunities today. Growing companies these days rely primarily on data analysis for their business insights. We believe that if you are an aspiring data analyst, you will find immense growth in your career.

Data Analytics at ASM IBMR

Explore a career in Data Science and Analytics with our Data Science and Business Analytics course today at IBMR. At IBMR, we have internationally acclaimed practice-driven initiatives that have served as case studies in business schools globally: Research Incubation, Social Immersion, Personality Enhancement, Industry Internships, and Corporate Mentoring. Fill out the enquiry form and we will get back to you in no time!