Understanding the Data Analyst Salary Landscape 2024

The salary structure for data analysts in India is different as per location, skills , experience etc
The salary structure for data analysts in India is different as per location, skills , experience etc

In 2024, the world of information is still experiencing remarkable expansion. Every passing moment, be it the briefest fraction of a second or the entirety of a day, immerses us in a profusion of data. Whether we’re casually browsing social media to stay updated on current trends, exploring the internet for the latest news, or communicating through WhatsApp, data envelops us. 

Yet, the genuine luxury resides in our capacity to skillfully employ this information to our advantage and objectives. Put more plainly, understanding the ‘what,’ ‘why,’ and ‘how’ of this data is imperative for ongoing progress.

With the continuous generation of data worldwide, the need for individuals and techniques to manage and leverage this data wisely has grown. This has brought the concept of data analysis into the spotlight. You might be wondering about the salary of a data analyst in India and whether the job solely involves sifting through data. 

This article aims to provide insights into data analysis, covering topics such as the definition of data analysis, the role of a data analyst, the skills required, job roles, salary ranges for beginners and experienced professionals, career paths, and the significance of this role.

Data Analyst Salary: A Comprehensive Overview

Data analysis is a thorough process involving the extraction of valuable data and its subsequent analysis to facilitate more reliable decision-making for businesses or organizations. This process commences with data collection and progresses through interpretation, analysis, culminating in actionable insights.

There are various methods for analyzing data to make informed decisions for your business, each with its own unique purpose and methodology. Data analysis can be broadly classified into four categories:

  1. Descriptive Analytics: This method focuses on quantitative data and answers the question of “what happened?” For instance, it can provide insights into the average number of articles written per employee in a month, user preferences for articles, or the average number of likes per post.
  2. Diagnostic Analytics: Going a step further than descriptive analysis, this method addresses the “why” question. It helps identify the reasons behind positive or negative outcomes. For example, it can determine why employees wrote only five articles when the target was seven.
  3. Predictive Analytics: This method utilizes data to forecast future trends and tendencies, answering the question of “what will happen?” For instance, based on historical data, you can predict the time it takes for a writer to produce an article and provide the company with an estimate of articles for the coming month.
  4. Prescriptive Analytics: This type of analysis involves making strategic business decisions supported by statistical information, clear facts, and visual data. Unlike predictive analysis, prescriptive analysis relies on actionable methodologies and machine learning, employing statistical algorithms to generate conclusive insights rather than mere predictions.

Who is a Data Analyst?

Some individuals are not content with merely asking questions; they seek answers by gathering information, extracting valuable insights, and finding solutions to problems. A data analyst is one such individual who specializes in gathering both qualitative and quantitative information for the business industry. They work towards making strategic business decisions based on data analysis.

However, data analysis is not confined to number crunching or fact observation. It demands a productive and efficient process to arrive at well-informed, optimal solutions. The work of a data analyst can be broken down into five distinct steps:

  1. Classify: The first step involves identifying the problems a business aims to solve. Data analysts classify queries into categories such as “what,” “why,” and “how.”
  2. Assemble: The second step entails gathering data. To address your questions effectively, assembling data from various sources is crucial. This may involve using primary sources like company data or collecting data from secondary sources such as publications and internet resources.
  3. Clean: Just as every piece of writing needs proofreading, collected data requires cleaning. Irregularities, duplicates, and irrelevant information must be removed from the dataset.
  4. Analyze: Before reaching the final stage, data must be dissected and analyzed. During this step, analysts look for trends, data patterns, and correlated variables in the gathered data that can be transformed into actionable insights.
  5. Interpret: The concluding step involves putting the insights into action. Analysts form conclusions based on the procured, cleaned, and analyzed data, driving strategic decisions for the business.

Data Analyst Salary in India 2024

In the year 2024, the salary structure for data analysts in India exhibits a range from ₹342,363 per year to ₹1,750,000 per year. The demand for data analysts has risen significantly due to the exponential growth of data compared to previous years. Consequently, the salary of a data analyst in India varies based on several factors, including experience, skills, location, and the employer.

Factors Influencing Data Analyst Salary in India 2024

Experience: Experience plays a crucial role in determining a data analyst’s salary. Greater experience in the field signifies broader knowledge, practical problem-solving abilities, agility, and leadership skills for training others. As a result, an analyst with more than three years of experience can expect higher compensation compared to a fresher.

The average pay structure for data analysts in India based on experience in 2024 is as follows:

  • Entry Level (> 1 year of experience) – ₹342,363 per year
  • Early Career (1-4 years of experience) – ₹422,408 per year
  • Mid-Career (5-9 years of experience) – ₹690,734 per year
  • Experienced (> 10 years of experience) – ₹942,653 to ₹1,750,000 per year

Location: Location is another significant factor affecting the salary of data analysts in India. Different cities and states have varying costs of living and demand for data professionals, which impact salary levels. Here are the salary ranges for data analysts in some major Indian cities in 2024:


  • Average Data Analyst Salary: ₹516,455 per year
  • Data Analyst Salary Ranges by Experience:
Early Year₹501,674

New Delhi:

  • Average Data Analyst Salary: ₹407,672 per year
  • Data Analyst Salary Ranges by Experience:
Early Year₹407,245

Mumbai, Maharashtra:

  • Average Data Analyst Salary: ₹406,409 per year
  • Data Analyst Salary Ranges by Experience:
Early Year₹405,823

Chennai, Tamil Nadu:

  • Average Data Analyst Salary: ₹410,431 per year
  • Salary Ranges by Experience:
Early Year₹396,086

Skills: A data analyst aspiring to secure a high-paying job with fewer years of experience should focus on mastering various skills beyond holding a degree in data analysis. Skills significantly affect a data analyst’s salary, and proficiency in specific areas can lead to higher compensation. 

Here are some key skills and their associated average salary of data analyst in India in 2024:

Skills RequiredAVERAGE PAY/yr (in ₹)
Data Quality Skills₹364K – ₹2M
Database Management & Reporting Skills₹219K – ₹1M
SQL₹251K – ₹1M
Statistical Analysis Skills₹211K – ₹1M
Microsoft Excel₹198K – ₹799K
Python₹289K – ₹1M
Web Analytical Skills₹0 – ₹750K

Employer: Different companies and employers have varying salary structures for data analysts. The position of the company in the market, the specific job role, and the required skills influence the salary offered to data analysts. Here are some of the top companies that hire data analysts in India in 2024, along with the average base salary ranges:

Data Analyst Salary – Top 10 Companies Hiring Data Analysts in India 2024

  1. Flipkart
  2. Cognizant
  3. Tata Consultancy Services
  4. Accenture
  5. Tech Mahindra
  6. Capgemini India Pvt Ltd
  7. Infosys
  8. Genpact
  9. LatentView Analytics
  10. Novartis

Average Base Salary for Data Analysts in India by Employer 2024

Accenture₹289K – ₹1M
Tata Consultancy Services₹254K – ₹784K
Flipkart₹302K – ₹1M
Cognizant₹307K – ₹2M
Capgemini India Pvt Ltd₹235K – ₹632K
Tech Mahindra₹175K – ₹500K
Genpact₹182K – ₹560K
LatentView Analytics₹446K – ₹680K
Novartis₹562K – ₹1M
Infosys₹294K – ₹766K

Data Analyst Salary: International Perspective 2024

For a broader view, here are data analyst salary ranges in some other countries in 2024:

CountryAverage Base Pay/yr
CanadaC$41K – C$77K
London, England£24K – £47K
AustraliaAU$52K – AU$100K
France€30K – €58K
Dubai, UAEAED 19K – AED 239K
The United States of America$44K – $86K

Key Reasons to Become a Data Analyst

Considering the opportunities and challenges that come with a career as a data analyst in 2024, here are some compelling reasons to pursue this profession:

High in Demand: In a world overflowing with data, the demand for data analysts is consistently high. Every query requires data for informed decision-making, making data analysts essential.

Learn to Thrive on Challenges: The role of a data analyst involves daily challenges, which can be stimulating. Finding innovative solutions and working with new data regularly enhances problem-solving skills.

Growth Opportunities: The data analysis field offers continuous learning and growth. With the ever-evolving landscape of data analysis tools and techniques, there’s ample room for career advancement.

Salary Growth: While the initial data analyst salary may not be the highest, there’s potential for significant salary growth as you gain experience and acquire new skills.

FAQs About Data Analyst Salary Landscape 2024

1. What is Data Analysis?

Answer: Data analysis is a comprehensive process of gathering and analyzing data to make more reliable decision-making processes for businesses or organizations. It involves various stages, from data collection to interpretation and acting upon the insights derived from the data.

2. What is the role of a Data Analyst?

Answer: A data analyst is responsible for gathering both qualitative and quantitative information for the business industry. They work towards making strategic business decisions based on data analysis. The role involves classifying problems, assembling data, cleaning data, analyzing data patterns, and interpreting data to make informed decisions.

3. What are the different types of data analysis?

Answer: Data analysis can be categorized into four types:

  • Descriptive Analytics: Focuses on quantitative data to answer “what happened?”
  • Diagnostic Analytics: Goes a step further to determine “why” certain outcomes occurred.
  • Predictive Analytics: Predicts future trends and outcomes based on data.
  • Prescriptive Analytics: Involves making strategic decisions backed by statistical information and clear facts.

4. What is the salary range for Data Analysts in India in 2024?

Answer: In 2024, the salary for a Data Analyst in India can range from ₹342,363 per year for entry-level positions to ₹1,750,000 per year for highly experienced professionals.

5. What factors affect the salary of a Data Analyst in India?

Answer: Several factors influence a Data Analyst’s salary in India, including experience, skills, location, and the employer’s position in the market.

6. How does experience impact a Data Analyst’s salary in India?

Answer: Experience plays a significant role in determining a Data Analyst’s salary. In general, those with more years of experience earn higher salaries. The average pay structure based on experience includes entry-level, early career, mid-career, and experienced categories.

7. How does location affect the salary of a Data Analyst in India?

Answer: The location of employment can influence a Data Analyst’s salary. Different cities or states in India have varying costs of living and demand for data analysts, which affect salary levels. Major cities like Bangalore, New Delhi, Mumbai, and Chennai may offer different salary ranges.

8. What skills are required for a Data Analyst in India in 2024?

Answer: Data Analysts in India need a combination of hard and soft skills. Key hard skills include proficiency in database systems, data visualization, programming languages, statistical and mathematical skills, and industry knowledge. Soft skills such as communication, attention to detail, time management, and leadership qualities are also essential.

9. What is the career scope for Data Analysts in India in 2024?

Answer: The career scope for Data Analysts in India is promising. They can progress to roles such as Business Analysts or even Data Scientists by acquiring additional skills and experience. The field offers continuous learning and growth opportunities


In the year 2024, pursuing a profession as a data analyst in India offers great potential for individuals who are prepared to cultivate the essential expertise and adjust to the continually evolving data environment. Numerous factors, such as one’s experience, skillset, geographical location, and choice of employer, influence the remuneration of data analysts. This creates abundant avenues for individuals to construct a fulfilling career in the realm of data analysis. The field’s substantial demand, persistent complexities, and prospects for advancement render it an appealing option for those aspiring to embark on a journey into the domain of data analytics

suraj verma

As a highly skilled and experienced content writer, I have a passion for creating engaging and informative content that connects with audiences and inspires them to take action. With over 1 year of experience in the industry, I have honed my writing skills to craft content that is both effective and SEO-friendly.

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