Data Analytics Salary in India in 2024

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 2024.

Data Analytics

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.

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.

Data Analytics Salary in India in 2024

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.

As per the latest industry reports, the average Data Analyst salary in India will be around ₹4.0 LPA in 2024. However, it varies depending on several factors such as experience, industry, location, skills, etc.

Data Analytics Salary in India Based on Experience

Experience plays an important role in determining the salary packages for data analytics professionals. Here are some figures which show the average Data Analytics salary in India in 2024 with less than 1 year of experience to 9 years:

0 – 3 Years – ₹3.9 LPA

3 – 6 Years – ₹5.1 – ₹5.5 LPA

6 – 9 Years – ₹6.3 – ₹8.0 LPA

Data Analytics Salary in India by Company

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:

Company Name	Experience (Years)	Average annual salary (₹)
TCS	0-5	6.9L
Accenture	0-5	6.5L
Ernst & Young	0-2	5.2L
Cognizant	0-7	5.3L
IBM	0-8	6.5L
Infosys	0-5	6.1L
PwC	0-5	10.3L
Tech Mahindra	1-8	7.4L
ICICI Bank	1-3	3.7L
HCL Tech	1-5	4.6L
Wipro	1-4	3.2L
TATA Power<	3-4	4.0L
Amazon	3-4	4.3L
Indian Oil Corporation	3-5	3.4L
Philips	5-8	17.0L
JP Morgan Chase	5-9	14.1L

Data Analytics Salary in India by Location

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.

New Delhi – ₹4.2 LPA

Gurgaon – ₹4.0 LPA

Mumbai – ₹4.0 LPA

Pune – ₹4.0 LPA

Bengaluru – ₹4.0 LPA

Hyderabad – ₹4.7 LPA

Chennai – ₹3.3 LPA

Data Analytics skills for higher salary potential

Undoubtedly, possessing several Data Analytics skills can often contribute to a higher salary. Some of the highly valued key skills are:

Expertise in programming languages such as Python, R, and SQL.
proficiency in Data Visualization skills in creating meaningful and insightful visualizations using tools like Tableau, Power BI, or programming libraries.
Strong statistical skills and familiarity of machine learning algorithms.
Knowledge of big data technologies like Hadoop and Spark, and knowledge of cloud platforms such as AWS, or Azure.
Skills in Data Engineering and ETL (Extract, Transform, Load) processes.
Solid foundation in database management, Business Acumen, and Programming Libraries.
Effective communication skills to communicate complex findings and insights to both technical and non-technical stakeholders.
Relevant certifications from recognized organizations.

The demand for specific skills in Data Analytics can vary depending on the industry, company, and the specific role. As this dynamic field of Data Analytics is also growing, continuous learning, staying updated on industry trends, and gaining practical experience through projects are crucial for career advancement and higher salary potential.

Henry Harvin’s Data Analytics Using R Course

As the domain of Data Analytics evolves day by day, specialized courses in Data Analytics will help you achieve your dream career in Data Analytics. Hence, for those who are on the path of a career change or to start a new career, the Data Analytics using R course by Henry Harvin’s Data Science and Analytics Academy acts as a catalyst for career growth.

About the Course:

Ranked amongst the Top 3 certification courses in India by BestCourseNews.com
100% practical Training in R Programming + Popular GCAO Pedagogy + Master 5+ Projects by Industry experts.
24×7 Access and Support and attend unlimited batches with different instructors
Gold Membership Program
Globally recognized Hallmark Certification
Guaranteed Internship and Personalized job support and many more.

Moreover, by providing hands-on experience with industry-relevant tools and techniques, the learner will be well-versed with these tools and techniques. Armed with a globally recognized certificate this course enhances employability with a great Data Analytics salary in India in 2024. Also, it equips participants with practical skills that make them stand out in this high-demand and competitive job field.

Conclusion

To sum up, India is on its journey to becoming ‘Digital India’. Therefore,the future of data Analytics is bright with high demands now and in the upcoming years. Also, companies are actively hiring professionals who can turn data into actionable insights. Hence, if you are someone who is considering a career change or starting a career in Data Analytics, 2024 looks promising with great opportunities and salary packages in India. By expanding your skill set in tools and technologies like Python, R, SQL, and Machine Learning, anyone can achieve a successful career with a promising Data analytics salary in India in 2024.

FAQ

Q1. What is the Data Analytics Salary in India in 2024?

Ans: As per the latest industry reports the average Data Analytics salary in India is ₹4.0 LPA. However, it varies according to different factors like skills, experience, industry, and location.

Q2. Is Data Analytics a good career in 2024?

Ans: Of course, nowadays industries use data for decision-making. Since India is a global hub of technology and innovation, Data Analytics jobs are in high demand with promising pay scales.

Q3. Which cities offer the highest Data Analytics Salary in India?

Ans: Data Analytics salary in India varies in different locations based on the demand for data analytics professionals.For example, cities like Hyderabad, New Delhi, Bengaluru, Mumbai, and Pune offer high average Data Analytics salaries in India.

Q4. What is the entry-level Data Analytics Salary in India?

Ans: Based on the reports by industries an entry-level data analytics professional can get an average starting salary of ₹3.5 LPA in India.

Q5. Is there any required educational qualification for Data Analytics professionals?

Ans: Yes, a bachelor’s degree in Statistics, Mathematics, or computer science is required to work as a Data Analytics professional. Also, certifications and proficiency in tools and technologies like Python, R, and Machine learning will help to get exciting opportunities with great salary packages.

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