Analytics India Salary Study 2018: By Analytics India Magazine and Great Learning
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across company type, skills, analytics tools, cities, experience level, education level etc. The study details about analytics professionals across company types such as captive centres, domestic firms, IT service providers, consulting firm and others, spread across various Indian cities. Gender gap is another crucial area covered as a part of this year’s salary study. The pay scale of women analytics professionals seems to be at a lower end compared to male counterparts, and the study presents you with exact numbers. It has been carried out by Analytics India Magazine in association with Great Learning. All salaries mentioned in the study are in Lakhs (L), per annum, in Indian rupees (wherever not mentioned). Read our last year’s report here Key Trends The median analytics salary in India for the year 2017 is INR 12.7 Lakhs across all experience level and skill sets. This is the highest median salary for analytics professionals ever, with almost 8% increase since a year ago. 37.6% of analytics professionals in India command a salary of less than 6 Lakhs. This is lower than 2017 (39%) & 2016 (42%). There has been visibly a more demand for senior professionals this year, thus pushing the average salaries higher. On one hand, the percentage of analytics professionals commanding salaries less than INR 10 Lakhs has gone lower; percentage of analytics professionals earning more than INR 15 Lakhs has increased from 17% in 2016 to 21% in 2017 to 22.3% in 2018. Analytics professionals with salaries in extreme bracket of 50+ Lakhs have decreased this year to 3.0% from 3.7% a year ago. Salary Trend Across Cities Mumbai continues to be the highest paymaster in analytics at almost 13.3 Lakhs per annum, followed by Bengaluru at 12.5 Lakhs. Chennai & Hyderabad are the lowest paymaster at 10.2 Lakhs. In the 0-6 Lakhs bracket, Chennai dominates other cities with 42% of analytics professionals earning below 6 Lakhs followed closely by Hyderabad at 41.5%. Mumbai leads the pack in more than 15 Lakhs salary bracket, with 27% earning within this bracket, followed closely by Bangalore at 24%. Salary Trend Across Experience Level Analytics salaries saw the decline at the entry level (0-3 yrs experience) this year. There was almost a 21% decline in salaries in this experience bracket from 6.6 Lakhs median last year to 5.2 Lakhs per annum. At entry level, almost 78% of analytics professionals are under the 0-6 Lakhs salary bracket. There is an indication that more entry level (fresher) professionals entered the analytics workforce this year, which is a good indication towards maturing of the industry. The salaries for 4-6 years of experience were relatively stable at 8.7 Lakhs. For other experience brackets, the salary increases have been relatively higher, especially at higher experience bracket at 12+ years experience, the salary rise in analytics has been around 20% this year. A transition to senior analytics leaders, with more than 12 years of experience, can lead to almost 60% increase in salaries. Analytics Salaries Across Industries Telecom industry pays the highest median salaries to its analytics professionals at 18.6 Lakhs. Telecom industry has the highest number of professionals with 50Lakhs – 1 Cr salary range. 5.3% of analytics professionals in telecom sector command median salaries between 50 Lakhs – 1 Crore. Media/ entertainment industry pays the lowest at 10.3 Lakhs. Energy/Utilities/Manufacturing have highest number of professionals with 1 Cr+ salary range – 1.6% of analytics professionals in telecom sector command median salaries more than 1 Cr. The largest number of entry level analytics professionals are employed at ecommerce firms. These mostly include smaller ecommerce startups that have started to utilise analytics. Almost half of analytics professionals in ecommerce firms command less than 6 Lakhs of salary. Salaries Across Analytics tools R Programming skills are most in demand with the highest salaries for R professionals at a median of 14.4 Lakhs. R is followed by Python, with median salaries of almost 14 Lakhs per annum. Python also saw the largest y-o-y jump in salaries with an increase of around 32%. R professionals saw an increase of around 30% in salaries. Hadoop professionals command an average of 12.6 Lakhs, a jump of just 5% from last year. Spark professionals command an average of 11.5 Lakhs with an increase of almost 14% from a year ago of 10.1 Lakhs. NoSql/ MangoDB professionals salaries remain unchanged from a year ago at 11.7 Lakhs. Qlikview professionals command higher than Tableau professionals in visualisation skill jobs – 13.5 Lakhs vs 12.2 Lakhs on median. Hadoop & Tableau salaries saw the least increase at around 5% on average. SAS salaries saw a jump of around 15% this year – from 10.3 Lakhs in 2017 to 11.9 Lakhs this year. Salaries Across Analytics Role Advanced analytics/ predictive modeling professionals are paid the highest salaries compared to their analytics peers i.e. 14.5 Lakhs on median. Their salaries though have remained stagnant since last year, primarily due to larger number of professionals getting into this role. Big data professionals and data mining professionals get up to 14 Lakhs & 11 Lakhs on median. BI, Reporting, MIS professionals get upto 8.7 Lakhs on median. The biggest jump in salaries this year came for Data Engineering professionals. Their median salaries increased 23% from 11.5 Lakhs to almost 14.2 Lakhs this year. There have been various indications that this year the demand for data engineering professionals have increased. Salaries Across Company Type Captive analytics centers continue to be highest salary providers in analytics, at an average of 15,2 Lakhs, an increase of 8% from last year. They were followed by Consulting firms at 14.9 Lakhs and Domestic firms at 13.4 Lakhs of analytics salaries on an average. Large IT firms provide the lowest analytics salaries in India at 10.1 Lakhs. Interestingly, their median analytics salaries have decreased this year by almost 10%. This has largely been due to the overall negative impact on IT sector last year and attritions in this IT space. Large IT firms have been affected the most and their overall salaries have gone down including that of analytics. Boutique analytics firms have increased their median salaries by 7% to 10.2 Lakhs. Salaries By Education Level Analytics professionals with a PhD command the highest salaries at a median of 22.7 Lakhs per annum. This is followed very closely by MBA’s from premier institutions like IIMs, at a median of 22.2 Lakhs. Engineering graduate not from premier institution and with no masters command the lowest salaries in industry at 9.8 Lakhs. It is apparent that upskilling through analytics related courses adds to the salaries over time. Gender Gap Women analytics professionals in India command almost 32% lesser salaries than their male counterparts. On median, women data scientists command a salary of 9.3 Lakhs whereas male professionals command 13.7 Lakhs. It is a well known fact that gender pay disparity is a reality and this is very much evident in the analytics field. Women participation in STEM related area is very low and given how analytics is related to coding as well as mathematics, women salaries are evidently very less from male analytics professionals. There have to be concerted efforts from the industry to have more participation from women in the analytics field, following which the disparity can be seen going away in the coming years. Conclusion IT service providers, that primarily provides services to analytics clients across the globe showed a downward trend over the last one year. The study suggests that IT firms have been affected the most and analytics salaries have gone down drastically. As opposed to the earlier years where IT service providers claimed one of the larger portions of analytics salary, IT firms provided the lowest analytics salaries in India, this year. The median salaries have decreased this year by almost 10%. This can be largely attributed to the overall negative impact on IT sector (such as automation), and increased attrition rate in IT space. While IT firms has shown a negative trend, the demand for data engineering professionals have increased across the companies, resulting in a significant jump in their salary structure. Whereas for salaries across analytics skills, advanced analytics roles and predictive modelling professionals grabbed the limelight compared to other roles. Despite being one of the highest earners, the study shows that their salaries have remained stagnant due to increase in supply. R remains to be the most in demand with highest salaries, followed by Python. As for the entry level jobs in analytics, the industry witnessed an overall decline in their salary structure, whereas the salaries for mid level experience have remained relatively stable compared to last year. Here Is The Complete Report
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across […]
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends.
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["big data", "data science", "Go", "AI", "RAG", "Python", "Aim", "analytics", "SQL", "R"]
["AI", "data science", "analytics", "Aim", "RAG", "Python", "R", "SQL", "Go", "big data"]
Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.