Data Analyst Salary in India

Introduction

What is Data Analysis?

Data Analysis can be defined as the process of examining data and deriving insights to drive the decision-making process for a business or organization. The Data Analysis process starts with collecting data, analyzing it, and acting upon the derived insights.

Data Analysis can be divided into four categories. Each category has its own objective and methodology.

Descriptive Analytics

• It is the simplest and most commonly used category of Data Analysis. Descriptive Analysis answers the “what happened” by using Data Aggregation, Data Mining, and visualizing data usually in the form of dashboards.
• For e.g., Data Analysts in any organization review sales data to understand the increase or decrease in sales from last year, specifically in what location and by how much percentage.

Diagnostic Analytics

• After understanding “what happened”, businesses may want to dive deeper and ask why did it happen? This is where diagnostic analysis comes into the picture.
• Diagnostics Analytics takes insights from Descriptive Analytics and leverages various statistical techniques such as probability, correlation, regression analysis, outlier detection, etc. to identify the cause and relationships.
• For e.g., a transportation company is facing delays in shipments in a certain region, and using this category of Analytics, they want to understand the reasons behind it.

Predictive Analytics

• The Predictive Analysis attempts to answer the question “what is likely to happen”. This category of analytics leverages historical data to make predictions about future outcomes.
• This category utilizes various Machine Learning or Deep Learning techniques to build models that can predict future trends or outcomes. For e.g., Using this category, you can build a sales forecasting model to predict future sales trends for a given product or location.

Prescriptive Analytics

• Prescriptive Analysis combines the insight from all previous Analytics categories to prescribe what actions to take to resolve a business problem.
• To develop the action plan, it also leverages advanced tools and technologies such as Machine Learning, Deep Learning, Statistics, etc. For e.g., after detecting a sales decline trend from Predictive Analytics, business organizations can take multiple actions such as pricing cuts, modifying marketing campaigns, discontinuing the product, etc.

Who is a Data Analyst?

• Data Analysts process and examine enterprise datasets to produce valuable insights by applying various visualization tools, statistical analysis, and basic programming languages that can drive business decisions. They bring technical expertise to examine the data, derive insights, and present it in ways to help businesses and organizations make better decisions.
• For example, a Data Analyst can collect the sales data for a company and create a dashboard that can help the company to understand various business metrics such as in which areas their sales are improving or declining, which product is working better, and where they need to focus more to boost the sales and revenue, etc.
• The below diagram shows the typical steps to perform in a Data Analysis project. It starts with defining the business objective, then Data Analysts collect, clean, and analyze the data to interpret results to derive valuable insights.

Data Analyst Salary

Data Analysts are in high demand and are one of the highest-paid professionals across the world. In the USA, the average Data Analyst Salary ranges between 65K - 70K USD while a Senior Data Analyst earns around 97K USD on average.

In India, a Data Analyst earns around 4.75 lacs per annum on average, while the average salary for a Senior Data Analyst is approximately 8.25 lacs per annum.

However, the Data Analyst Salary will vary based on multiple factors such as location, experience, skills, industry, companies, etc. In the following sections, we will discuss the average Data Analyst Salary based on each factor mentioned above.

Data Analyst Salaries by Experience

Experience is one of the most influential factors in deciding a Data Analyst’s salary. In general, the more years you spend working as a Data Analyst, the more you can expect to earn.

In India, the Data Analyst Salary ranges between ₹210K - ₹1000K depending upon years of experience spent in the role. Let’s see how experience affects the salaries of Data Analysts in India.

Data Analyst Salary: Based on Location

After the experience, location is the second most important factor in deciding the salary of a Data Analyst. Each city has its own cost of living and demand for Data Analysts; accordingly, salaries will vary for each city.

Let’s explore in subsequent sections how different cities in India affect the average salary of a Data Analyst.

Bangalore

In Bangalore, the average Data Analyst Salary comes to around ₹576,664 per annum. Let’s explore how experience affects the average salaries of Data Analysts in Bangalore.

Delhi

In Delhi, the average Data Analyst Salary comes approximately to ₹401,741 per year. Let’s explore how experience affects the average compensation of Data Analysts in Delhi.

Mumbai

In Mumbai, a Data Analyst earns on average around ₹425,033 per annum. Let’s explore how experience decides the average salaries of Data Analysts in Mumbai city.

Chennai

In Chennai, the average Data Analyst Salary comes to approximately ₹436,622 per annum. Let’s explore how experience influences the average salaries of Data Analysts in Chennai city.

Hyderabad

In Hyderabad, the average Data Analyst Salary comes to around ₹503,779 per annum. The table mentioned below describes the average salaries of Data Analysts based on experience in Hyderabad city.

Pune

In Pune, the average compensation of a Data Analyst is approximately ₹458,647 per annum. According to experience, the average salary of a Data Analyst in Pune is mentioned in the below table.

Data Analyst Salary: Based on Skills

Data Analysts need to learn and master certain technical skills to perform the job and excel in this career path. The salaries of Data Analysts also vary based on the skill set requirement. Let’s explore in the table below how different skills affect a Data Analyst's salary range.

Data Analyst Salary by Industry

In today’s world, almost all industries are using Data Analytics solutions to drive their decision-making and strategic planning processes. But Data Analyst’s salary can vary depending on which industry you decide to work for. The industries where demand for Data Analysts is higher generally provide the highest compensation on average.

According to The Quant Crunch, an IBM report on the demand for Data Analytics skills, Finance and Insurance, Professional, Scientific, and Technical Services, Information Technology, Management, and Manufacturing account for more than 75% of the jobs in the Data Analytics field. So industries mentioned above are the ones that pay the highest compensation to the Data Analysts on average.

Data Analyst Salary: Based on Employer

Different employers have different requirements and job descriptions when hiring Data Analysts. So, the employer you decide to work for and its market position can significantly impact your average compensation as a Data Analyst.

Let’s explore in the table mentioned below how Data Analyst salary is varied based on the top 10 employers hiring Data Analysts in India.

Salaries for Other Data Professionals

Starting your career as a Data Analyst might be the first step in this career path. As you gain more experience and develop additional skills, you may move into a more advanced data professional position. These advanced positions come up with different skill set requirements and average compensation. Let’s see how average salaries vary for other Data Professionals in the Data Analytics field. All these numbers are based on Glassdoor.

How to Grab the Best Data Analyst Salaries?

Data Analysts are in demand, and it offers a great career path along with high salaries. With more students and experienced professionals planning to build a career and position themselves in the Data Analytics industry, roles have become competitive. So to excel as a Data Analyst in this field and stand out from the crowd, it is essential to have adequate training to learn and master all the skills required for this job.

Also, if you plan to consider having certifications in this field, it can be a great way to learn the skills, and the addition of these certifications will make your resume strong and impressive.

If you are thinking of building your career as a Data Analyst, you can check out the Scaler’s Data Science program. It includes live online classes, hands-on experience on projects from top companies, 1:1 mentorship from expert Data Analysts and Data Scientists, and secure placement assistance. This is a curated course that comes with an up-to-date curriculum taught by the best instructors. It can help you learn and master all the skills required to become a successful Data Analyst.