What is the salary after a data analytics course

Once you decide to pursue a data analytics course, you study hard and then step into the game of various markets. By now you must know what a data analyst does, whether it is to find the answer to a question or find a solution to a problem, a data analyst collects, filters, and analyzes data sets. These analysts work in a variety of fields, including government, business, finance, criminal justice, science, and medicine. 

What types of customers should a business target in its next marketing campaign? Which age group is most prone to a particular disease? What patterns of conduct are linked to financial fraud? These are some of the questions that a data analyst aims to answer as part of his day-to-day job profile. 

 Importance of data analysts

Companies across all industries are relying more and more on data to make crucial business decisions, including which new products to develop, which new markets to enter, which new investments to make, and which new (or existing) consumers to target. They also use data to pinpoint inefficiencies and other pressing company issues. For all these activities, they need talented and skilled data analysts. 

Data analysis has globally become one of the most in-demand professions. As a result, the income of a data analyst in India is much more than that of other individuals working in the software industry. To gain an advantage over the competition, check out 360digiTMG’s website for some of the best analytics courses that you can enroll in, and upgrade your skills.

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Your career as a data analyst will continue to advance if you have the necessary skill set and are willing to keep yourself up to date. This statement is accurate, especially when we consider that a data analyst’s income in India is directly or indirectly dependent on his ability to keep up with the trends and upskilling.

Data analyst salary in India

• A mid-career data analyst, with 5 to 9 years of experience, can earn up to Rs.6lac per year, depending on the company and the workplace’s location. 
• A data analyst in India with 1 to 4 years of experience makes a gross salary of around Rs.4lac per year (including gratuities, incentives, and overtime pay). 
• You can anticipate earning an average annual pay of Rs.9lac per year,  if you are an experienced and skilled data analyst, with an experience of about 10 to 19 years.
• As there has been an increase in the number of freshmen in data analysis in India, this is a great sign that the business is evolving even if 78% of analytics professionals in India earn between 0 and 6 lakhs at their entry level. 

In the last few years, apart from the average page, even the annual pay increase in the data analytics field is quite different based on the experience level of candidates. For example, the pay for workers with 4 to 6 years of experience stays the same at around Rs.8.7lac per year for a few years. However, senior data analysts, with at least 12 years of relevant experience, have witnessed a significant 20% increase in annual pay every year.

Companies all around the world are placing a high value on analytics and its potential to alter market patterns. As a result, business decision-makers are increasing their investments in technology, people, and processes. Business functions are now using data analytics instead of only IT and finance. 

What are the factors that affect the salary of a data analyst?

Several variables can affect the income of a data analyst in India. Let’s look at some major wage-influencing factors:

• Experience

The salary of data analysts depends on the experience they possess in the field. The pay differs significantly based on the number of years you have worked in the field. The average salary for an entry-level data analyst salary in India is around Rs.3.2lacs per year, whereas for middle-level data analysts, the average annual salary in India is around Rs.6.35lacs per year. The average salary of a senior-level data analyst with more than 10 years of experience in India is close to Rs.8.5lacs per year. 

• Location

Bangalore has the most job openings and the highest annual data analyst pay in India for data innovators. India’s Silicon Valley offers 19.2% more than the national average. Gurgaon and Pune provide 9.8% and 9.5% more salaries o data analysts than the national average, respectively. Mumbai, Hyderabad, and New Delhi data analysts earn 5.2%, 4.8%, and 2.8% less than the national average, respectively.

• Industry

Every industry now has data analytics built into its core, and as a result, the number of career options for data analysts has significantly increased. This is because data analytics offers a lot of value and helps industries advance steadily in their respective fields.

As these individuals impact the organization’s decisions directly, with the aid of data retrieved and analyzed using programs like Excel, Tableau, and SQL, their salaries are directly dependent on their technical skills. At the starting level, data analysts with special skills like Python or Tableau may earn an average monthly salary ranging from around Rs.55,000 to Rs.70,000.

• Company

Employers like Accenture, Tata Consultancy Services, and Ernest & Young (E.Y.) are some of the top recruiters of data analysts. Nonetheless, HSBC has the highest reported salary as per recent data, as the average annual salary of entry-level data analysts here is around Rs6.8 lac per year here.

• Skills

Beyond the requirements of a Master’s degree, you are required to possess knowledge of the relevant programming languages and data management software in order to bag a high-paying data analyst job. Some of the skills that can guarantee you good pay are:

• Python experts – around Rs.10lac per year
• Data visualization experts – more than 26% of the industry’s average annual pay
• SAS specialists – around Rs.9.0 and Rs.10.8 lac per year
• SPSS experts – around Rs.7.3 lac per year
• Machine learning (ML) professionals- upto Rs.17 lac per year 

We hope after reading the above details, you will be motivated to equip yourself with all the latest trends and fundamental concepts in the world of data analytics right away.

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