Wondering what is the range of Data Analyst salary in India?
Data Analysis become one of the most high-in-demand jobs around the world. As a result, a Data Analyst salary in India is significantly higher than other software related professionals.
Thus, if you have the required skillset and are ready to keep yourself updated, your career as a Data Analyst is expected to keep growing onwards and upwards. This line stands true especially when we consider that a data analyst salary in India is directly or indirectly dependent on how upskilled and updated they are.
Across the world, people send an average of 188 million emails, watch 4.5 million YouTube videos, and exchange 18.1 million text messages each minute.
Cut short; we generate over 2.5 quintillion bytes of data each day.
Naturally, this generates and adds to an ever-increasing pile of data, which brings forth the need for someone who could analyze huge heaps of data and help make sense of it.
Let’s take a look at who exactly is a Data Analyst and what is a typical data analyst salary in India?
Who is a Data Analyst & what do they do?
Data Analysts are professionals who translate numbers, statistics, figures, into plain English for everyone to understand.
Given the circumstances, there’s always an increasing scope for Data Analysts at the workplace, and it may be an excellent choice for those who have a strong foothold in mathematics, statistics, computer science or business backgrounds. This position includes data mining, fluency in languages like SQL, Python, etc. to extract the relevant insights from the data sets as well as channeling those ideas through visualizations and reports.
A Data Analyst collects, stores, and interprets data to transform it into valuable business insights that can be used to improve business operations and foster data-driven decision making. Since this job role involves parsing through data, analyzing it, and interpreting it, it is primarily analytical. The increasing demand for data analysts are increasing the data analyst salary in India.
Once Data Analysts are able to interpret the hidden information from within large datasets, they must be able to communicate that information effectively to all the stakeholders involved – colleagues, business & management teams, clients, company partners, etc. Because of the demand, data analyst salary in India is one of the highest.
Skills required for the profile of a Data Analyst
1. Solid Domain Understanding
Data Analytics skills help in problem-solving. They need to understand the variables in a business, the levers that they can potentially move to bring about a significant positive change, the external and internal factors that affect its growth, and model all necessary decisions accordingly. Business understanding is a must-have and one of the most critical skills if you aspire to become a data analyst and directly impacts the data analyst salary in India.
2. Mathematics & Statistics
Objective decision-making forms a very important part of how you arrive at the solution of any given decision. To be able to take decisions objectively you must rely on Mathematics and Statistics. You need to find patterns, segment, make predictions based on historical information. You will need to use prediction algorithms, classification, and clustering algorithms to arrive at the best possible solution, and that is where Mathematics and Statistics will come to the rescue.
3. Technical Skills
You can identify and solve a problem using domain understanding and mathematical skills. But most businesses are not so simple. You will need to go through data sets that are way beyond your calculative abilities, and in order to be able to replicate your algorithms and business solutions at scale, it is very important that you pick up tools such as R, Python, SQL etc.
4. Soft Skills
Last, but not the least of data analytics skills, you should be able to communicate your solution in the most simple and understandable format to the stakeholders. They might not know anything about KS Statistics, or root mean square error, or your clustering algorithm but that is where your soft skills come in. Impactful communication, use of great visualization, and visualization tools like Tableau, QlikView, ggplot, etc., become really important.
Data Analyst Job Roles
1. Data Scientists
Data science is basically statistics implemented through programming. Alongside R, Python has also shown its mettle in sorting out data as per generic as well as specific requirements. As far as India is concerned, Python programmers for data science earn more than both software developers as well as DevOps programmers. The reason for this is that data collection, data cleaning and processing is becoming very common nowadays as companies need data to gather market and customer information.
This requires a niche of Python programmers who are specially trained in the collection and processing of data through libraries like NumPy and Pandas. Data scientists are in high demand in major metros like Delhi-NCR and Mumbai and emerging cities such as Pune and Bangalore.
Responsibilities of Data Scientists
- Gathering vast amounts of structured and unstructured data and converting them into actionable insights.
- Identifying the data-analytics solutions that hold the most significant potential to drive the growth of organizations.
- Using analytical techniques like text analytics, machine learning, and deep learning to analyze data, thereby unravelling hidden patterns and trends.
- Encouraging data-driven approach to solving complex business problems.
- Cleansing and validating data to optimize data accuracy and efficacy.
- Communicating all the productive observations and findings to the company stakeholders via data visualization.
Data Scientists Salary Range in India
The average data scientists salary is ₹698,413. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum.
A mid-level data scientist with 5 to 9 years experience earns ₹1,004,082 per annum in India. As your experience and skills grow, your earnings rise dramatically as senior-level data scientists around more than ₹1,700,000 a year in India!
2. Data Engineers
The primary job of a Data Engineer is to design and engineer a reliable infrastructure for transforming data into such formats as can be used by Data Scientists. Apart from building scalable pipelines to covert semi-structured and unstructured data into usable formats, Data Engineers must also identify meaningful trends in large datasets. Essentially, Data Engineers work to prepare and make raw data more useful for analytical or operational uses. There are many myths about data engineers and most of them are far from reality.
In an organization, the position of a Data Engineer is as vital as that of a Data Scientist. The only reason why Data Engineers remain away from the limelight is that they have no direct link to the end product of the analysis.
Responsibilities of Data Engineers
- Integrate, consolidate, and cleanse data collected from multiple sources.
- Prepare raw data for manipulation and predictive/prescriptive modeling by Data Scientists.
- Develop the necessary infrastructure for optimal extraction, transformation, and loading of data from disparate sources using SQL, AWS, and other Big Data technologies.
- Deploy sophisticated analytics programs, machine learning algorithms, and statistical techniques to build data pipelines.
- Assemble vast and complex data sets to cater to the functional and non-functional business requirements.
- Identify and develop innovative ways to improve data reliability, efficiency, and quality.
- Develop, construct, test, and maintain data architectures.
Skills required to be a Data Engineer
- Active project management and organizational skills.
- Strong analytic skills to handle and work with large, unstructured datasets.
- Strong programming flair in trending languages, including Python, Java, C++, Scala, Ruby, etc.
- Advanced working knowledge of SQL, along with experience in working with relational databases.
- Proficiency in working with a wide variety of databases.
Data Engineer Salary Range in India
According to Glassdoor, the average Data Engineer salary in India is Rs.8,56,643 LPA. But of course, the Data Engineer salary depends on several factors, including company size and reputation, geographical location, education qualifications, job position, and work experience. Reputed companies and big players in the Big Data industry like Amazon, Airbnb, Spotify, Netflix, IBM, Accenture, Deloitte, and Capgemini, to name a few, usually pay high compensation to Data Engineers. Also, the more your past work experience in Big Data, the higher will be your market value.
Despite the global demand-supply paradox (the demand for Data Engineers far exceeds their supply), the career prospect of Data Engineers looks promising in India. According to Analytics India Magazine report,
“While IT firms have shown a negative trend, the demand for data engineering professionals has increased across the companies, resulting in a significant jump in their salary structure. Whereas for salaries across analytics skills, advanced analytics roles and predictive modeling professionals grabbed the limelight compared to other roles.”
As for Data Engineers in their early career (1-4 years of experience), they make anywhere around Rs.7,37,257 LPA. As they proceed to mid-level (with 5-9 years of experience), the salary of a Data Engineer becomes Rs.1,218,983 LPA. Data Engineers having over 15 years of work experience can make more than Rs.1,579,282 LPA.
3. Data Analyst
Data Analysts are professionals who translate numbers, statistics, figures, into plain English for everyone to understand.
Given the circumstances, there’s always an increasing scope for Data Analysts at the workplace, and it may be an excellent choice for those who have a strong foothold in mathematics, statistics, computer science, or business backgrounds. This position includes data mining, fluency in languages like SQL, Python, etc. to extract the relevant insights from the data sets as well as channeling those ideas through visualizations and reports. Lets deep dive into data analyst responsibilities and data analyst salary in India.
Data Analyst Responsibilities
- To analyze and mine business data to identify correlations and discover valuable patterns from disparate data points.
- To work with customer-centric algorithm models and personalize them to fit individual customer requirements.
- To create and deploy custom models to uncover answers to business matters such as marketing strategies and their performance, customer taste, and preference patterns, etc.
- To map and trace data from multiple systems to solve specific business problems.
- To write SQL queries to extract data from the data warehouse and to identify the answers to complex business issues.
- To apply statistical analysis methods to conduct consumer data research and analytics.
Data Analyst Salary in India
For a data analyst in India, having 1 – 4 years of experience has a gross earning (including tips, bonus, and overtime pay) of Rs 3,96,128, while a mid-career Data Analyst with 5 – 9 years of experience can make up to Rs 6,03,120 based on the organization and the location of the working place. And if you are a matured and experienced Data Analyst who has been in the industry or 10 – 19 years can earn an average total compensation of Rs 9,00,000.
– 78% of the analytics professionals in India are under the salary bracket of 0 – 6 Lakhs at their entry level, but since there has been a rise in the number of freshers in Data Analysis in India, this is an excellent indication for maturing the industry. Data Analyst salary in India is affected by multiple elements like location, skills, experience and company.
– The salaries for 4 – 6 years of experienced remain stable at 8.7 Lakhs.
– For the Senior Data Analyst having substantial experience of 12 or more years has witnessed a sharp 20% rise in their salaries last year.
The companies across the world are thoroughly valuing analytics and its potential in changing the market trends, leading the decision-makers of the companies to invest more and more in the technology, people, and processes. This has led to the shift of Data analytics from I.T. and finance to most business functions. The reports by the U.S. Bureau of Labor Statistics indicates that the Data Analysts are projected to see faster than average growth of 19% from 2014-2024, thanks to the continuous growth of data generation and the need to refine and extract relevant insights from the same.
So, the next question that arises is: what are all the factors affecting data analyst salary in India?
Factors Affecting Data Analyst Salary in India
Data Analyst salary in India can be affected by multiple factors. Let’s see some primary salary affecting factors:
Data Analyst Salary in India: Based on Experience
Data analytics can yield your earnings, which are well above the median of $47,000 for a full-timer in the U.S., but it is subjective from one organization to another based on the years of experience.
According to Zippia, the average entry-level business/data analyst salary having 2 years of experience and a bachelor’s degree is $54,000 which can rise to $70,000 in just 2 to 4 years of experience in the USA. Generally, a senior analyst with more than 6 years of experience commands a higher salary of about $88,000 but, with a specialization in the field can make the salary can soar as high as $100,000.
Let’s see how Data Analyst salary in India varies based on experience.
Entry-Level Data Analyst Salary in India
The average salary of entry-level Data Analyst salary in India is ₹325,616.
Mid-Level Data Analyst Salary in India
The average salary of a mid-level Data Analyst salary in India is ₹635,379.
Experienced Data Analyst Salary in India
The average salary of an experienced Data Analyst salary in India is ₹852,516.
Let’s see how the salary increases with experience:
While the data analyst salary in 2021 can increase steadily over the first five to 10 years, afterward it would prove to be increasingly challenging to obtain raises without working on broadening of your skills. Therefore, many data analysts who are unable to work up their ways to success end up in switching their careers as the critical difference of data scientists to that of data analysts lies to the former’s superior knowledge in advanced programming, data modeling, machine learning and more leading them to have a higher pay to that of data analysts.
As mentioned before, data scientist job openings and payments are subjective from one organization to another leading many data analysts to perform in the scope of the work of the data scientists according to the company’s requirements. It is, therefore, better to understand the scope and details of the work before you can choose your work scenario in such places.
Data Analyst Salary in India: Based on Industry
Data analytics now run in the very foundation of every industry, and due to that, there has been a remarkable increase for the data analysts in the number of paths to choose from as it adds a lot of value and enhances the industries to make steady progress in their respective genres.
This progress can impact directly to the data analyst salaries as these people are directly responsible for some of the decision-making processes for the organization with the help of data extracted and analyzed using the tools like Excel, Tableau, and SQL. Their salaries can range from $54,700 to $69,000 at the entry level.
Data Analysts Salary Trends in India By Industry
For the financial analysts who work with the financial accounts of the company to predict its performance and study the macro and microeconomic trends, creating economic models and forecasts. According to the 2017 Robert Half Salary Guide, the financial analysts at an entry-level can make up to $52,700 to $66,000 based upon bonuses and commissions.
Market research analysts also use sales, competitor research, and customer survey data to design the landscape for a product to optimize the segmentation, targeting, and positioning efforts. Such useful insights need a strong skill of communication, compelling storytelling, and a very refined quantitative data analysis – calling for significant pay at the starting level ranging from $51,000 to $65,000.
Also read: Data Scientist Salary in India
Similarly, for the data analysts in the healthcare industry manage analytics within the hospital settings to streamline the daily administrative workflow and operations. The salary for these individuals may range from $46,000 to $80,000 and can come with branch or stream specifications as well.
Now that you’re well aware of the salary systems for data analysts and how it works in the industries, the next thing you need to know is,
Data Analyst Salary in India: Based on Location
Let’s see how data analyst salary in India gets affected by the location.
The number of job opportunities and the annual data analyst salary in India for data innovators is the highest in Bangalore. The Silicon Valley on India provides 19.2% more than the country’s average. Gurgaon & Pune offers 9.8% more and 9.5% respectively than the national average. Data Analysts from Mumbai, Hyderabad, and New Delhi receives 5.2%, 4.8% and 2.8% lesser than the national average respectively.
Data Analyst Salary in India: Based on Company
Let’s see how data analyst salary varies on companies
For the Data Analyst titles, employers like Accenture, Tata Consultancy Services and Ernest & Young (E.Y.) are some of the top respondents. However, the reported salaries are highest at HSBC, making the average pay to be at Rs. 6,83,000.
Data Analyst Salary in India: Based on Skills
In order to secure such a high-paying job, you are expected to go beyond the qualifications of a Master’s degree and be familiar with the respective languages and software utilized for managing data. Some more insights from AIM:
- The very essential skill is being familiar with Python. Python salary in India alone offers ₹10 Lakhs per annum.
- When you are familiar with Big Data & Data Science, data analyst salary in India increases by 26% compared to being skilled in only one of the areas.
- SPSS experts can earn around ₹7.3 lakhs where SAS professionals are earning between ₹9 to 10.8 lakhs.
- Machine Learning salary in India can increase up to 17 lakhs per annum. When you learn ML and Python, it is among one of the highest you can get in this field.
So, now is the time to master your skills in data in order to further optimize your salary!
Data Analyst Salary on Other Countries
Let’s see how the data analyst salary is in different countries.
Data Analyst salary in The US: $66,000
Data Analyst salary in The UK: £26,000
Salaries of Related Roles Compared to Data Analyst
Let’s look at the average salaries of related roles compared to Data Analyst salary in India.
Software Engineer average annual salary in India: ₹514,537
Business Analyst average annual salary in India: ₹607,736
Data Scientist average annual salary in India: ₹813,042
Python Developer average annual salary in India: ₹555,776
ML Engineer average annual salary in India: ₹956,000
Key Reasons to Become a Data Analyst
1. Highly in-demand field
Data Analysis is one of the most in-demand jobs for 2021. After United States, India is the second prominent hub of jobs for data scientists. Demand is one of the reason data analyst salary is significantly high.
2. Highly Paid & Diverse Roles
Not only is the demand for data scientists booming, but the kinds of job positions are also abundant.
3. Evolving workplace environments
Data science is shaping the workplace of the future. With the advent of artificial intelligence and robotics, more and more routine and manual tasks are getting automated.
4. Improving product standards
Usage of machine learning has enabled companies to customize their offerings and enhance customer experiences.
5. Helping the world
Predictive analytics and machine learning have revolutionized the healthcare industry.
Job Responsibilities of Data Analysts
- Analyzing Trends and Patterns: Data Analysts have to predict and forecast what may happen in the future, which could be very helpful in strategic decision making to the businesses. In this case, a data analyst has to spot the trends that have happened over time. He also has to make specific recommendations by analyzing the patterns.
- Creating and Designing Data Report: The reports given by a data scientist is the essential prerequisite in the decision making of a company. Data scientists will need to create the data report and design it in such a way that it is very easily understandable by the decision-maker. Data can be represented in many ways like pie-charts, graphs, charts, diagrams and many more. Reporting of Data can also be done in the form of a table depending on the nature of data to be shown.
- Deriving valuable insights from the Data: The Data Analysts will need to derive useful and meaningful insights from the package of Data to bring some benefits to the organizations. The organization will be able to use those meaningful and unique insights to make the best decision for the success of their company.
- Collection, Processing, and Summarizing of Data: A Data Analyst has first to collect the data and then process it using the required tools and then summarize the data to be easily understood. The summarized data can tell a lot about the trends and patterns which will be used to predict things and forecasting. Data Analyst salary in India depends on all the responsibilities being fulfilled.
Myths Vs Reality
Let’s take a step forward and bust some myths revolving around the lives of a data analyst:
Myth #1: Data analysts are the masters of Mathematics.
This might have been true at one point of time, but now with much more sophisticated tools entering the market, there are more opportunities than ever for people who don’t have a math background to learn about analytics.
Myth #2: Analytics takes a lot of time.
Most of the organisations opt against data analytics thinking it’ll take too much of time and they’ll be left with little time to do the actual work. However, that’s seldom the case. Once you figure out the metrics, you should be keeping an eye on, and how to track them in your tools, it’s pretty quick to measure those metrics. You will know precisely where to pull those and how to make changes to your operations based off of those metrics.
Myth #3: Analytics won’t tell you anything you don’t already know.
Just because you think you can guess the fate of your campaign does mean it’s necessarily true. Every time your organisation runs any campaign, the data analyst analyzes the type of content and channels that are performing well.
Myth #4: Your company isn’t big enough to need any analyses.
Any company, however big or small, can overhaul their operations using data analytics. Especially for smaller organisations, data analytics can come in extremely handy to understand how to grow — and to find out whether you are growing in the desired direction. It also helps you track visitor-to-lead conversion rates and lead-to-customer conversion rates; which helps in understanding if there’s an area of the funnel that is not working and helps you decide what to focus on.
Myth #5: You must report on every single metric.
Well, this is entirely up to you. If you want, you can spend 100% of your time reporting on every single metric you can find. There is an endless amount of data, and you can go on creating metrics for analyzing – it’ll take you to an infinite loop.
How should you kick-start a Career in Data Analytics?
1. Select the right role
As stated above, the data science field is very diverse, with never-ending opportunities. You must have a strong understanding of current technology trends, how data analysts drive business decisions, tools in demand, and how data science can shape the future to get a good grasp of what you do and evolve with the organization you work for.
Staying in touch with key stakeholders, top management will help you achieve the same. Do not hesitate to ask the right question to understand the different roles of a data analyst. This will help you in deciding the role that suits best to your skill set and requirements.
2. Join a Science Diploma or certification course
Understand the role that you need to perform and take appropriate guidance and mentorship from experts in this field. You must keep your skills and knowledge up-to-date with the role you need to perform. Take a step further and go for the PG diploma or certification courses to better perform your duties and strengthen your knowledge.
3. Learn to code: choose a programming language.
You must master a programming language to become an expert in data analysis. Python and R are the most popular languages. Select the language that you are comfortable with and learn until you have good command over it.
4. Join Data Analysts community and forums
This is one of the most important steps but often overlooked. You must join a data science forum, community group, or take active participation in technical discussions to know what is happening around, how data analysis is shaping the business goals, etc.
5. Enhance your communication skills
What if you have humongous knowledge but have no idea of conveying the same to others. Watch videos or take courses to enhance your presentation and communication skills. Learn different tools to present your findings conveniently and intuitively to the key stakeholders of the organization.
6. Focus on practical applications
Don’t just read theory, also put the knowledge to test. Start developing applications that can do your work in less time and collate data from multiple sources with less coding. You can also take a few freelancing projects to work on different datasets.
Despite few IT firms showing a negative trend in the data analysts salaries, the demand for efficient data scientists and analysts seem to be on the rise and is inevitable, thanks to the ever-increasing amount of data online and the competitive market. As for the salaries across the analytical and predictive modeling skills, R remains to be the most in-demand with the highest salaries, followed closely by Python.
The opportunities for Data Analytics are currently at their prime in India. With the large volumes of data being generated by businesses and the availability of data and tools to extract it – and the urge to gain insights from it. It includes the rise in Data Analyst’s salary and Data Scientists salary India.
We hope you liked our article on Data Analyst salary in India. These numbers above are not set in stone. The real influencer of your salary is the skills you have, the mastery you have attained over them, and how quickly you grow and make the company grow as well.
You are likely to receive an annual bump up of around 15% in your salary. This will further increase with an increase in the years of work experience and the number of skills you’ve mastered. Therefore, whether you’re starting from scratch or you’re already experienced in the field of data. You’ll always have this motivating factor driving you in your career!
If you are curious about learning data science to be in the front of fast-paced technological advancements, check out upGrad & IIIT-B’s PG Diploma in Data Science.
You can also check out IIT Delhi Program in Business Analytics. IIT Delhi is one of the top institutes in India and also one of the oldest IIT’s and is always excelled in giving highly industry-relevant courses, Now IIT Delhi has partnered with upGrad to get these top IIT Delhi courses online. They have a variety of other programs like Machine Learning, Executive Management Programme in Strategic Innovation, Digital Marketing and Business Analytics etc.
What is the salary of a Data Analyst in India?
The average salary for a Data Analyst in India is approximately ₹417,007. Factors affecting Data Analyst salary in India are experience, location, job role and skill set.
What are the different job profiles of data analyst industry?
Here are some different data analyst job profiles you could look into: Data Analyst, Data Engineer, Data Analyst, Data Architect & Statistician. Data Science has seen a tremendous amount of development in the past few years.
What is the future scope of data analysis?
With the increasing influence of big data, organizations are moving towards data analysis, aiming higher profitability. The demand for data professionals is high, specifically for the ones having certification from reputed institutions.