If you ever want to find a one-word synonym for the term “scope of data analytics in India”, the answer is HUGE! This is precisely why, every time you try searching it on google, you would be bombarded with a series of articles and surveys that discuss the opportunities a data analyst in India has.
As workplaces are becoming more tech-driven and fast-paced today, professionals trained in data analysis are already playing an increasingly important role in businesses. Both startups and tech giants in India are adding data analysts to their workforce who are capable of recording, analyzing and dissecting data to drive effective decision-making.
Career Prospects And Scope Of Data Analytics In India
It has been estimated that data is expected to grow up to 50 times by 2020. Organizations have to stay updated with the demands of massive volumes of data so that they don’t become obsolete. Hence, professionals who are well-versed in advanced analytics are considered to be essential for organizations to adapt their business models and stay ahead of the competition.
The scope of data analytics In India includes organizations in banking, policing, fraud detection, healthcare, telecommunications, e-commerce, energy and risk management.
Based on the remarkable findings from this year’s Analytics And Data Science Jobs Study, by Analytics India Mag here are the top trends in the scope of data analytics in India:
There are about 78,000 job openings for data analysts available in India.
JPMorgan, Accenture, Microsoft, Adobe, Flipkart, AIG, Ernst & Young, Wipro, Vodafone & Deloitte are the organizations that had the greatest number of openings for data analysts last year.
Bengaluru is home to 27% of analytics jobs in India. The city is closely followed by Delhi/ NCR and Mumbai.
What Is The Average Salary For Data Analysts In India?
The median salary for a data analyst in India is Rs 10 lakhs per annum. Your salary increases with your work experience. Data analysts with more than 5 years of experience often earn up to 15 lakhs per annum. Senior data analysts with more than 10 years of experience could earn above 20 lakhs per annum.
How Can You Make Use Of The Scope Of Data Analytics In India?
Now that you are aware of the wide range of avenues open for data analytics aspirants, here are some additional tips to help you land your dream role in the
- Candidates with at least a bachelor’s degree are preferred: About 50% of hiring managers prioritized BE/B Tech graduates for data analyst roles over others. The remaining 50% of jobs were open to candidates with higher educational degrees or even had non-technical backgrounds.
- Proficiency in Python can take you places during the selection process: If you are skilled in Python, you are eligible for about 40% of analytics jobs in India. Professionals trained in R programming language are preferred next. However, if you have a non-programmer background you could still transition to a technical field from a non-technical background. Read the blog post on it here.
- Use LinkedIn and internships for successful networking: Many aspiring data analysts bet on the importance of using LinkedIn to find out about mentors and opportunities in the field. Interning before doing full-time jobs was preferred as it served as an excellent platform to learn new skills as well as boost networking.
- Enroll for upskilling courses especially if you are a working professional: It’s indeed challenging to manage time if you are juggling a full-time job. However, the popularity of online upskilling courses among the employed indicate that it’s not only impossible to attend them but also useful for career enhancement. In India alone, a majority of aspirants (students and professionals) who can’t afford to take an academic sabbatical prefer online learning courses for better career prospects.
Acadgild offers the Data Analytics Certification Course with R, Excel & Tableau. The alumni of this course, work with renowned MNCs like Microsoft, Google, Oracle, Yahoo, Nielson, Amazon, and IBM. Keeping in mind those who want to enter into data analytics despite a non-technical background, the Analytics For Non-Programmers course was curated.
Now that you are aware of the scope of data analytics, enroll in the courses above and make your dreams come true!