Data Analyst Salary in India
Do you love working in a structured environment and are detail-oriented? Do you enjoy interacting with numbers and data? You should think about a career as a data analyst!
So, is a data analyst’s salary well compensated? What are the data analyst salary trends in India? These are among the most fundamental questions to consider if you want to work in this field. Let’s start by answering some of these basic questions.
Who is a Data Analyst?
Data analysts determine how to use data to answer questions and provide information. They examine current events to identify trends and forecast the future. They’re like investigators, identifying how things work and making sense of it. A data analyst can be a beneficial, creative, and challenging career.
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Let’s get started by determining how much you can expect to earn as a data analyst and the factors that can affect your pay. But first, let’s go over the topics we’ll be covering in this blog:
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Average Data Analyst Salary
As per Ambitionbox, dated 12/30/2022, the data analyst salary in India ranges from ₹ 1.8 Lakhs to ₹ 11.4 Lakhs, with an annual average wage of ₹ 4.2 Lakhs. These figures are based on 39.6k salary insights received from data analysts all over the country.
Factors influencing the data analyst salary
Experience
In many industries, your level of experience can significantly impact your salary. This is especially true for data analysts, where practical knowledge is as necessary as formal education. According to Ambitionbox, dated 12/30/2022, the average salary for a data analyst in India with two years of experience is Rs. 3.8 Lakhs, but someone with four years of experience earns 5.2 Lakhs. The data analyst salary for freshers is around ₹ 1.9 Lakhs per year.
Your earning potential is greatly influenced by your years of experience. Entry-level data analysts, for example, earn Rs. 15,000-20000 less than experienced project managers. As your career progresses, this curve rises.
Let’s go through the data analyst salary based on experience in the form of a table:
| Experience | Average Salary (LPA) |
| 1-2 | 3.7 |
| 2-3 | 4.2 |
| 3-4 | 4.8 |
| 4-5 | 5.3 |
| 5-6 | 5.7 |
| 6-7 | 5.8 |
Location
Data Analysts in certain cities will earn significantly more than in others. If you worked in Bangalore or Pune, your salary could increase by 25% to 35%. Your home and workplace location can have a multiplier effect on your project manager’s salary.
The standard market rate determines employees’ wages in their area, including their city, state, or even country. Other considerations include the employee’s experience and expertise and the company’s pay philosophy.
Assume you are offered a position as a data analyst at a company based in Bangalore but live in Lucknow. You might be offered 2.7 lakh (the average pay in that area) rather than 4.9 lakh (the average salary for a data analyst in Bangalore).
Let’s take a look at the pay scales for data analysts in some major cities:
| Location | Average Salary (LPA) |
| Hyderabad | 4.1 |
| Chennai | 3.6 |
| Pune | 4.2 |
| Mumbai | 3.8 |
| New Delhi | 4.0 |
Company-type
Pay structures typically include salary ranges for each pay grade, indicating that each pay level has a minimum and maximum salary bracket. Companies create compensation structures by analyzing both external and internal compensation data. For example, the data analyst salary in Google ranges between ₹ 2.8 Lakhs to ₹ 60 Lakhs. Now, let’s look at various organisations’ data analyst salary ranges.
| Company-type | Average Salary (LPA) |
| Startup | 5.4 |
| Public | 4.5 |
| Forbes Global 2000 | 5.0 |
| Fortune India 500 | 4.5 |
| Conglomerate | 4.8 |
| Government | 3.8 |
| MNC | 8.5 |
Education
If you want to become a data analyst, focusing your studies on statics, arithmetic, or computer science could make you step out to prospective employers. Many online bachelor’s degrees offer flexible scheduling, allowing you to fit a degree around your other commitments.
This is one factor that can influence a project manager’s salary. As a result, an undergraduate candidate will receive less than a candidate with a graduate or doctoral degree.
Certifications
As in many other professions, hands-on experience can often speak louder than certification alone. Earning a project management certification can help you show recruiters your abilities. It can also help you gain knowledge in areas you may lack. A data analyst candidate may pursue the following certifications:
Google Data Analytics Professional Certificate: A candidate with 0-1 year of experience can take this beginner-level course. The course helps in various things, such as:
- Developing an in-depth understanding of the practices and processes
- Learning key analytical skills and tools (data cleaning, analysis, and visualization) (spreadsheets, SQL, R programming, Tableau)
- Understanding data cleaning and organization for analysis
- Learning how to use dashboards to visualize and present data findings
Microsoft Certified: Data Analyst Associate: A candidate with 2-4 years of experience can take this intermediate-level course. The course teaches a variety of topics, such as:
- Preparing the data
- Modelling the data
- Visualizing the data
- Analyzing the data
- Deploying and maintaining deliverables
IIM Calcutta – Senior Management Programme in Business Analytics: A candidate with 4+ years of experience can take this expert-level course. The course helps you in various activities, such as:
- Developing expertise in identifying strategic opportunities for implementing business analytics solutions for competitive advantage
- Providing vision and direction to the analytics team for specific analytics tools and techniques to be adopted
- Increasing capacity for assessing the need-gap to improve productivity through a data-driven systematic approach.
- Effectively leading high-performing analytics projects and teams toward business transformation
Some of the popular certifications related to data analysis are:
- Cloudera Certified Associate Data Analyst
- Associate Certified Analytics Professional
- Certified Analytics Professional (CAP)
- Springboard Data Analytics Certification
Roles and responsibilities of a data analyst
Some of the typical roles and responsibilities of a data analyst are:
- Data mining/ ETL
- Analyzing structured/unstructured data from a wide variety of sources
- Automating repeatable reporting processes.
- Requirements gathering
- Timely execution/buildout Dashboards and Visualizations
- Supporting Adhoc reporting development requests
- Maintaining existing reports and dashboards
- Presenting Analytics to Senior Leadership
- Discover, analyze, and scope data requirements conceptually and logically modelling them.
- Developing supply chain models and collecting and analyzing data from various business processes such as forecasts, capital requirements, inventory, logistics, manufacturing, and production capacity.
- Creating high-level process models (system interface diagrams, workflow swim lane diagrams, and data flow diagrams) to represent processes in the study area.
- Empower the business by increasing the adoption of data, data science, and the business intelligence landscape.
- Responsible for improving data quality in relation to predefined expectations.
- Own and drive relationships with potential customers, from demonstration to conversion.
- Assisting customers in making the best use of the product to get the most out of it.
- Diagnosing customer-reported problems or configuration issues and making recommendations for potential solutions.
- Review user documentation, product requirements documents, product videos, and other functional specifications for technical accuracy.
- Assisting marketing and sales teams in preparing case studies, customer presentations, etc.
Top course for a beginner-level candidate
Here is a list of the top two courses to begin with if you want to become a data analyst; a candidate with no prior experience can complete these courses:
IBM Data Analyst Professional Certificate
It is one of the beginner-level courses. The course is designed for those looking to begin an associate or junior data analyst career. This certification course helps build the foundation for data disciplines such as data science or data engineering.
Why should you do the IBM Data Analyst Professional Certificate course?
- Introduces the concepts of data analysis
- Provides a basic working knowledge of using Excel spreadsheets for Data Analysis
- Introduces relational database concepts
Introduction to Data Analytics
It is one of the introductory courses. The course provides a gentle introduction to data analysis concepts, the role of a Data Analyst, and the tools used to perform daily functions. This course will teach you how to tell the difference between a Data Analyst, a Data Scientist, and a Data Engineer.
This course requires no prior data analysis, spreadsheets, or computer science knowledge. You only need basic computer literacy, high school-level math, and access to a modern web browser like Chrome or Firefox to get started.
Why should you do the Introduction to Data Analytics course?
- Teaches about the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining
- Assists in learning the soft skills that are required to communicate your data to stakeholders effectively
- Explains the responsibilities of a Data Analyst and exactly what data analysis entails
- Teaches the key aspects of data analysis.
- Describes how to clean, analyze, and share your data with the use of visualizations and dashboard tools
Some of the other popular beginner-level courses related to data analysis are:
- Process Data from Dirty to Clean
- Prepare Data for Exploration
- Data Analytics Real-World Projects in Python
Best course for an intermediate-level candidate
Here’s the list of the top two courses for an intermediate-level candidate; these courses can be done by a person having 2-4 year’s experience:
Get started with Microsoft data analytics
It is one of the intermediate-level courses. The course will teach you about the life and journey of a data analyst, as well as the skills, tasks, and processes they go through to tell a story with data and make trusted business decisions.
This course will teach you how a data analyst uses the Power BI suite of tools and services to tell a compelling story through reports and dashboards and the importance of true BI in the enterprise. This course also acts as a learning path that can help you to prepare for the Microsoft Certified: Data Analyst Associate certification.
Why should you do the Get Started with Microsoft Data analytics Analytics course?
- Describes how Power BI services and applications work together
- Explains how Power BI can make your business more efficient
- It covers important topics, such as how to create compelling visuals and reports
Become a Data Analyst:
It is one of the Udacity intermediate-level courses. The course will help you improve your programming skills and your ability to work with messy, complex datasets. You will discover how to manipulate and prepare data for analysis, as well as how to create visualizations for data exploration. Finally, you will discover how to use your data skills to tell a story with data.
Why should you do the Become a Data Analyst course?
- Program for Adaptive Learning
- Career Services and a personal career coach
- Real-World Projects from Industry Experts
- 1-on-1 Technical Mentoring & Career Counseling
- After enrolling, you will have immediate access to the classroom.
- Discover how to use Python, SQL, and statistics to uncover insights, communicate key findings, and create data-driven solutions.
Some of the other popular intermediate-level courses related to data analysis are:
- Data Science with Databricks for Data Analysts Specialization
- Data Science Fundamentals for Data Analysts
- Applied Data Science for Data Analysts
Best course for an expert-level candidate
Here’s the list of the top two courses for an expert-level candidate; these courses can be done by a person having 4+ year’s experience:
Certified Scrum Product Owner
It is one of the expert-level courses. The course has a rating of 4.8/5 and is intended for those who want to learn the Scrum framework, principles, and values. The course also covers the skills and tools needed to improve the effectiveness of Scrum. Learners will be able to understand their customer base’s product expectations after completing this course. Product owners, project managers, product managers, data analysts, and business analysts will benefit greatly from this course.
Why should you do the Certified Scrum Product Owner course?
- Assists in broadening your career opportunities across all industry sectors that use Agile practices
- Demonstrates your mastery of core Scrum knowledge; describes the Scrum foundation; defines the scope of the Product Owner role
- Works with Agile practitioners who are dedicated to continuous improvement
- Helps in understanding the business side of the project
Advanced MySQL Data Analytics
It is one of the expert-level courses. The course teaches you MySQL, a must-have skill for any analyst. The course will introduce the course project, install the tools required for database access, and review core SQL skills. This course includes deep analytics dives on traffic analysis and optimization, website measurement and testing, channel mix, product performance, user analysis, and more. Before taking this course, you must complete the basic MySQL for Data Analysis course.
Why should you do the Advanced MySQL Data Analytics course?
- Assists in developing advanced skills and mastery of one of the world’s most popular and influential database programming languages- MySQL
- Teaches how to master MySQL for data analysis
- Educates students on how to analyze data stored in relational database systems
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Some of the other popular expert-level courses related to data analysis are:
Conclusion
The majority of businesses deal with massive amounts of data. Pick any organization, and you’ll notice how heavily it relies on data to ensure its continued success. And that is a solid reason why organizations must have data professionals who can analyze large amounts of data; hence the data analyst salary potential is rising like never before!
FAQs
How much is the data analyst salary?
Data Analyst salary, in India with 1-2 years of experience can earn around Rs 307,000 per year.
Where do data analysts make the most money?
Hardware and networking, finance, and software and IT services are the three highest paying industries for data analysts.
Which are the top five data analyst companies?
The top five data analyst companies are: Accenture Analytics iTechArt Absolut Data Tableau Manthan Systems
How do data analysts raise their pay?
Some methods for increasing your data analyst salary include: Learn the necessary skills Pursue a higher education degree or certificate. Seek additional experience
Do fresh graduates get data analyst jobs?
Yes. Without prior work experience, it is possible to become a data analyst. A newcomer can become a data analyst if he or she learns the trade and works on honing the necessary skills.
What does a data analyst do?
A data analyst reviews data to identify key insights into a business's customers and ways the data can be used to solve problems.
Anshuman Singh is an accomplished content writer with over three years of experience specializing in cybersecurity, cloud computing, networking, and software testing. Known for his clear, concise, and informative wr... Read Full Bio
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