Data Science is an up-and-coming field that attracts the top candidates who are interested in working in the field of data and analytics. The primary responsibilities of professionals working in the field of data science include collecting, organizing, structuring, analyzing, and presenting data in a way that is easy to understand and use. The importance of data has grown exponentially in the past decade. Almost all decisions made by a firm are dependent on what the data shows. Data trends are a major part of the policy and decision-making process of any company. Therefore, all companies across the world have a demand for professionals who are trained data scientists.
Data Science is a lucrative field for all professionals. The demand for qualified data scientists is high which makes this field one of the highest paying fields in the country. Data Science is changing the way decisions are made in a company. To ensure that a company grows, decision-makers often refer to previously collected data about the company, the market, and various other factors.
Therefore, salaries for qualified data science professionals are increasing quickly. The average salary of a data scientist is approximately 8,00,000 per annum. To get the best roles and job offers, you should have a qualification that shows that you are a qualified and professional data scientist. You can pursue a data science course in Noida to learn the relevant skills and earn a good salary.
Here are some of the top data science job roles and salaries –
Data Analyst
The day-to-day job of a data analyst is to use large sets of data to make it accessible. They transform and manipulate data to get important insights from it. Analysis of large data sets takes time and dedication. Along with this, they are also required to help the decision-makers in a company understand what the data means. It is one of the top data science jobs available in the country presently. You will require a Bachelor’s degree to get an entry-level job as a Data Analyst. Other certifications and courses that are relevant to the field will be a bonus. The average salary of an entry-level data analyst is INR 4,00,000-5,00,000 per annum. Top companies such as Amazon, Genpact, Capgemini, Accenture hire Data Analysts.
Data Scientist
While data analysts are required to analyze and present the data in an understandable form, the role of a data scientist is more technical. Data scientists are required to collect, organize and structure data. Most of the data that is received by companies is unstructured.
Therefore, a data scientist is required to understand the data, find useful patterns and identify trends in it. As data scientists deal with large data sets on a regular basis, prior experience in the field of data science may be required by some employers. The average salary of a Data Scientist in India is approximately INR 7,00,000 per annum. With relevant experience and proper education, you can expect to earn more.
Data Architect
Data Architect is one of the top and highest paying jobs in the market right now. The roles and responsibilities of a Data Architect include creating new database systems that handle the data used in the company. A person working as a data architect will be required to use the various elements of design analytics to create as well as improve the process of data collection, data sharing, and data analysis. The objective is to make the data accessible to all the professionals who require it to make decisions. A data architect has the potential to earn INR 19,00,000-20,00,000 per annum. The average salary can increase with qualifications and experience in the field.
Big Data Engineer
The roles and responsibilities of a big data engineer and a data analyst are similar. Both of these roles require professionals to structure and analyze data, derive insights from it, and present their findings comprehensively. The role of a big data engineer also includes additional work such as retrieving data that is available, gathering data, and then analyzing it. One of the major responsibilities of a Big Data Engineer is to create the data architecture, both software, and hardware. They also have to maintain the various processes and systems that are required to work with and utilize data. Freshers who apply for the role of a Big Data Engineer can expect to get a salary of INR 4,00,000-5,00,000 per annum. With a few years of experience, big data engineers can also earn up to INR 9,00,000 per annum.
Business Intelligence Analyst
The role of a Business Intelligence Analyst includes strategic planning for the company they work for. They ensure that all the information available from the data acquired is being used in the best way possible. They will be required to use tools that help them make strategic decisions that help the business grow. All major companies such as Ernst and Young, Accenture, Genpact, Tata Consultancy Services hire Business Intelligence Analysts. The average salary of a Business Intelligence Analyst can range from INR 5,00,000 per annum to INR 6,00,000 per annum in the beginning and has immense growth potential.
Statistician
Many companies hire Statisticians along with Data Analysts to ensure that the data that is being processed goes through multiple levels of processing. The basic role of a Statistician is to collect, organize, analyze and interpret data and make it understandable for all. This helps in making important decisions that affect the growth and future of the company. They are also required to contribute to the various operational processes that depend upon the processed data. The basic educational qualification required for this position is an undergraduate degree in Mathematics or Statistics. Additional certifications and courses can help you move forward in your career. On average, a Statistician can expect to earn INR 5,00,000 per annum.
A career in the field of Data Science is a lucrative option for many IT professionals. There are numerous opportunities that qualified professionals can utilize. Moreover, the growth potential in this field is quite high. The industry is increasing at an exponential rate and therefore, the job opportunities are also increasing.
