Analytics India Salary Study 2018 - by AIM & Great Learning

ANALYTICS
INDIA
SALARY
STUDY
2018
Great Learning & Analytics India Magazine

TABLE OF
CONTENT
SALARY TRENDS ACROSS EXPERIENCE LEVELS
SALARY TREND ACROSS CITIES
INTRODUCTION
KEY TRENDS
ANALYTICS SALARIES ACROSS INDUSTRIES
04
08
06
10
12
SALARIES ACROSS ANALYTICS TOOLS
14
SALARIES ACROSS ANALYTICS ROLE
16
SALARIES ACROSS COMPANY TYPE
18
SALARY BY EDUCATION LEVEL
20
GENDER GAP
22
CONCLUSION
24

5
Analytics-India-Salary-Study-2018
Great LearningAnalytics India Magazine
The views and opinions expressed herein do not necessarily represent the views and opinions of
Analytics India Magazine (AIM). The information contained herein is of a general nature and is not
intended to address the circumstances of any particular individual or entity. Although we endeavor to
provide accurate and timely information, there can be no guarantee that such information is accurate
as of the date it is received or that it will continue to be accurate in the future. No one should act on
such information without appropriate professional advice after a thorough examination of the particular
situation. 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.
It is well understood that companies across all domains such
as banking, telecom, retail, and others have resorted to data
and analytics to make sense of large amount of data that they
are exposed to. This has resulted in an increase in demand of
analytics professionals, who can bring expertise in analytics tools
and languages such as R, Python, Hadoop visualization tools, etc. ,
giving rise to analytics related job roles such as data engineering,
big data, predictive modelling and others. This has called for an
increase in median salary compared to last year.
The study details about analytics professionals across company
types such as captive centers, 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.
This study 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).
INTRODUCTION

ANALYTICS SALARY TREND OVER YEARS
% OF PROFESSIONALS BY SALARY RANGE OVER THE YEARS
% OF PROFESSIONALS BY SALARY RANGE THIS YEAR
Analytics India Magazine
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.
2015 2016 2017 2018
14
12
10
8
6
4
2
0
SalaryinINRLakhs
0-6L, 37.6%
6-10L, 24.0%
10-15L, 16.1%
15-25L, 12.8%
25-50L, 6.4%
50L-1Cr, 2.3% 1Cr+, 0.7%
45%
40%
35%
30%
10%
5%
0%
20%
15%
25%
2018 2017 2016 2015
0-6 L 6-10 L 10-15 L 15-25 L 25-50 L 50 L-1 CR
No.ofProfessionalsinPercentage
Salary Range
7

9
mumbai continues to be
the highest paymaster in
analytics at
MUMBAI BENGALURU DELHI/NCR PUNE HYDERABAD CHENNAI
14.0
12.0
10.0
8.0
4.0
2.0
0.0
6.0
13.3 L
SalaryinINRLakhs
SALARY TREND
ACROSS CITIES
Salaries in a city is function of two factors- the demand for skillset and the
relative cost of living in that city. Bangalore & NCR has the highest demand
for analytics professionals. Mumbai has the highest cost of living.
• 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%.
SALARIES TREND ACROSS CITIES

SALARY TRENDS ACROSS
EXPERIENCE LEVELS
Salaries across experience levels is a critical factor to judge how the industry
rewards seniority. Experience Levels could also be seen as designation like
analyst, manager, director etc., but we chose to look at the number of years
in the industry. This is a more quantitative assessment and can resonate
easily with larger folks.
• 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.
SALARIES ACROSS EXPERIENCE LEVELS
2018 2017 2016 % CHANGE FROM LAST YEAR
35.0
30.0
25.0
20.0
15.0
10.0
5.0
0.0
SalaryinINRLakhs
Experience in Years
0-3 4-6 7-9 10-12 12+
25%
20%
-25%
-15%
-5%
5%
15%
10%
0%
-10%
-20%
11
78%
professionals at entry
level are under the salary
bracket of
0-6 LAKHS

telecom industry pays
the highest median salaries
to its analytics
professionals at
18.6lakhs
13
Great Learning
TELECOM
RETAIL/ CPG
ENERGY/ UTILITIES/ MANUFACTURING
AUTOMOTIVES
PHARMA/ HEALTHCARE
BANKING/ INSURANCE
TRAVEL/ HOSPITALITY
ECOMMERCE
MEDIA/ ENTERTAINMENT
0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0
SALARIES BY INDUSTRY
Salary in INR Lakhs
ANALYTICS SALARIES
ACROSS INDUSTRIES
We notice a wide range of median analytics salaries across the sectors. So,
while telecom has the highest median salaries in analytics at 18.6 Lakhs, media
& entertainment has the least median salaries for analytics professionals at 10.3
Lakhs. This is a very wide range (higher variances) in terms of median salaries.
Salaries within an industry is affected broadly by two indicators - the rate of adoption
of that technologywithin that industry and the relative value that the industry garners
from the technology. A higher adoption rate would signify a relative stabilisation of
resources and processes which in turn would cause a dip in salaries. Industries that
have recently adopted analytics would also see a skew towards higher senior level
professionals vis-à-vis other industry, thus pushing the median salaries higher.
For eg: Banking industry is among the earliest adopters of analytics in India. It is also
by far the biggest recruiter of analytics professionals in India. The salaries in Banking
for analytics professionals currently stands at the lower spectrum in median terms.
Eventually, this salary variance across industries should reduce as adoption
increases over time.
• 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
SALARY ACROSS TOOLS
r programming skills
are most in demand
at a median of
14.4lakhs
15
Salaries across tools is primarily a function on the demand for that tool.
Within data science industry, the demand for tools changes rapidly and this
is evident across the technology stack. So, for statistical analysis there is a
shift towards open source tools. Also Python is gaining more prominence
in recent years. Demand for Big data tools has also moved. Recent trend
is to move away from Hadoop. Visualization tools are even more volatile in
demand.
• 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.
R PYTHON QLIKVIEW HADOOP TABLEAU SAS NOSQL/
MONGODB
SPARK SPSS
16
14
12
10
8
6
4
2
0
SalaryinINRLakhs
30%
25%
0%
5%
10%
15%
20%
35%
(Secondary Axis)

the median salary of
data engineering
professionals increased by
23%
this year
17
Great Learning
16
14
12
10
8
6
4
2
0
SalaryinINRLakhs
PREDICTIVE
MODELLING
DATA
ENGINEERING
BIG DATA DATA MINING MIS REPORTING
SALARY ACROSS ROLES
25%
20%
-5%
0%
5%
10%
15%
(Secondary Axis)
SALARIES ACROSS
ANALYTICS ROLE
Skillsets in analytics vary from less complex to high complexity roles, and
the salaries reflect the same.
• 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
Essentially, five types of organizations recruit data scientists in India and its
important to look at salaries for all these company types. Firstly, captive centers
are GIC’s for large MNC’s, setup in India to utilize skillsets available in the country.
Analytics forms one of the core areas that these captive centers work on.
Secondly, consulting firms (Big Four etc.) also provide analytics consultancy and
this can be either to domestic market or to the global clients with delivery centers
in India. Thirdly, domestic Indian firms setup analytics units for internal usage
companywide. Think of it as the end user of analytics from India perspective.
Fourth, large IT service providers have setup analytics competencies and
provide services to global clients around analytics. Fifth, boutique analytics firms
specialize in analytics and provide services around it to the clients.
• 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 ACROSS COMPANY TYPE
16
14
12
10
8
6
4
2
0
CAPTIVE CENTERS C0NSULTING FIRMS DOMESTIC FIRMS BOUTIQUE
ANALYTICS FIRMS
IT SERVICE
PROVIDERS
2018 2017 2016 % CHANGE FROM LAST YEARSalaryinINRLakhs
19
10%
5%
-15%
-10%
-5%
0%
(Secondary Axis)

21
almost
60%
of analytics workforce
in india have a masters
degree
25
20
15
5
0
SalaryinINRLakhs
ANY
ENGINEERING
WITH NO
MASTERS
ENGINEERING
FROM IIT/
NIT WITH NO
MASTERS
ANY
UNDERGRADUATE
AND MASTERS
DEGREE
MBA FROM TOP
TIER COLLEGE
PHD
SALARIES BY EDUCATION LEVEL
10
SALARIES BY
EDUCATION LEVEL
Analytics recruiters prefer PhDs and premier institutes. This is true with
other professions as well, yet with analytics industry there is certainly a
higher demand for PhD professionals that take up roles of data scientists.
Almost 60% of analytics workforce in India have a masters degree and 7% of
workforce is from premier undergrad or postgrad institution. PhD’s form just
1% of analytics workforce.
Also, there seems to be a preference for professionals that have taken a
formal education in analytics in recent years. More so, professionals that
have spent atleast a year in analytics education either in full time or part
time setting as these professionals have a broader understating of various
facets of analytics and data science.
• 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.

women analytics
professionals get
32%lesser
salaries than their male
counterparts
16
14
12
10
8
6
4
2
0
GENDER GAP
23
Great Learning
FEMALE MALE
MALE VS FEMALE ANALYTICS SALARY
SalaryinINRLakhs
• 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.

25
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.Whereasfor salariesacrossanalyticsskills,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.
CONCLUSION

27
The numbers in this study is a result of extensive research by
Analytics India Magazine, carried out in association with Great
Learning over the last few months. The primary source of
information for this study includes various job portals, salary
aggregators and company websites from where we have
pulled the information to reach suitable conclusion.
It also includes extensive interactive sessions with analytics
professionals, companies and recruiters in the field to get data
on wages of individuals at various levels in an organization.
The data collected was studied for various compensation
trends and practices in the marketplace. The samples were
collected by quizzing the participants on their salary structure,
growth in salary structure over the past few years, skills that
professionals look while hiring for analytics openings, salaries
offered to freshers in the field and that to the senior leaders,
skills that companies prefer to see in candidate’s resume,
amongst others.
The research methodology included furbishing salary details
of analytics professionals across various cities, experience
level, industries such as telecom, retail, banking, automotive,
ecommerce; analytics tools; skills, company type etc. After a
careful collection of information and data, they were classified,
counted and distributed to reach the conclusions as depicted
in the study.
RESEARCH
METHODOLOGY

29
ABOUT
ANALYTICS INDIA MAGAZINE
Founded in 2012, Analytics India Magazine
has since been dedicated to passionately
championing and promoting the analytics
ecosystem in India. It chronicles the
technological progress in the space of
analytics, artificial intelligence, data science,
big data by highlighting the innovations,
players in the field, challenges shaping
the future, through the promotion and
discussion of ideas and thoughts by smart,
ardent, , action-oriented individuals who
want to change the world.
Analytics India Magazine has been a pre-
eminent source of news information and
analysis for the Indian analytics analytics
ecosystem by covering opinions, analysis
and insights on the key breakthroughs and
developments in data-driven technologies
as well as highlighting how they are being
leverages for future impact.
With a dedicated editorial staff and a network
of more than 250 expert contributors,
AIM’s stories are targeted at futurists, AI
researchers, data science entrepreneurs,
analytics aficionados and technophiles.
ABOUT
GREAT LEARNING
Great Learning is an ed-tech company
that offers programs in career critical
competencies such as Analytics, Data
Science, Big Data, Machine Learning,
Artificial Intelligence, Cloud Computing
and more. Their programs are taken by
thousands of professionals every year who
build competencies in these emerging
areas to secure and grow their careers.
They are on a mission to make professionals
proficient and future ready. They do this by
creating industry relevant programs and
crafting learning experiences that help
candidates learn, apply and demonstrate
capabilities in these high-growth areas.
At Great Learning, their programs always
focus on the next frontier of growth in
industry and currently straddle across
Analytics, Data Science, Big Data, Machine
Learning, Artificial Intelligence, Cloud
Computing and more
What sets them apart
They believe learning a new skill is tough
and high quality education has to be
rigorous. This is why none of their programs
are superficial or trivial. Every program and
every lecture that gets delivered through
any of the programs values the time, effort
and dedication of learner. This is why
they are designed to be meaningful and
impactful. And because learning a new
skill is tough, a core part of their learning
experience is the learning assistance
provided to candidates. They use
technology, content and a wide network of
industry experts (Great Learning Gurus) to
help candidates learn in the most impactful
manner, whether it be through in person
classroom sessions or their unique model
of ‘assisted online learning’.
Impact
• Great Learning is amongst the top 5
ed-tech startups in India in terms of
revenue and scale
• Over 5000+ professionals have taken
Great Learning programs and they have
delivered 2 million+ hours of learning in
analytics
• They have a network of 300+ Great
Learning Gurus, all of who are industry
experts engaged in teaching, guiding
and mentoring candidates through
their programs
• They have an alumni network of 3000+
professionals working across marquee
organisations in India and beyond
• Their analytics programs have been
ranked as India’s best program for 2015,
2016 and 2017
• They have learning centers established
in 6 cities: Bangalore, Chennai,
Hyderabad, Gurgaon, Pune and
Mumbai
Learning for Life
Learning for Life’ establishes that as
professionals, we all need to partake in
Lifelong learning. Constant up-skilling of
one’s skills and competencies is the only
waythatprofessionalscankeepthemselves
relevant and in-demand for the careers
of tomorrow. And at Great Learning, it is
their endeavor to be professionals’ trusted
learning partner for life. Also, ‘Learning
for Life’ as a messagealludes to a higher
purpose urging all of us to be lifelong
learners, so that with every passing day, we
become a better version of ourselves.

31
GREAT LEARNING
PROGRAMS AT A GLANCE
1. PGP BABI:
Great Learning PG Program in Business Analytics
& Business Intelligence is a 12-month program that
builds candidates’ analytical and management
capabilities through a structured learning
framework, hence preparing them for business
and functional roles in the analytics industry. The
program creates a blended learning environment
that causes minimal disruptions to work schedule.
The classroom sessions are assisted by online
webinars, discussions, and assignment that keep
your learning continuous and cumulative.
2. BACP (Online):
Great Learning Business Analytics Certificate
Program is India’s 1st mentorship driven online
program that runs for 6 months. Participants
attend interactive sessions with program mentors
in small cohorts.
3. PGP DSE (Full Time):
Great Learning PG Program in Data Science
Engineering (Full Time) is a 6-month program for
early career professionals looking to expedite
their move to roles such as business analysts,
data analysts, data engineer, analytics engineer
etc. by learning relevant data science techniques,
tools and technologies, and hands-on application
through industry case studies. The blended
mode of learning (weekend classroom and online
learning) ensures there is no disruption to classes
as physical classroom sessions are held on
alternate weekends.
4. PGP BDML:
Great Learning PG Program in Big Data & Machine
Learning is a 12-month comprehensive program
that combines data science, machine learning,
data visualization, and big data technologies to
prepare candidates for the roles of data analysts,
data scientists, big data specialists, and big
data architects. PGP-BDML helps you build your
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program creates a blended learning environment
that causes minimal disruptions to work schedule.
The classroom sessions are assisted by online
webinars, discussions, and assignment that keep
your learning continuous and cumulative.
5. PGP AIML:
Great Learning PG Program inArtificial Intelligence
& Machine Learning is designed to develop
competence in AI and ML for future-oriented
working professionals. PGP-AIML is a 12-month
program offered in blended format with weekend
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program is delivered in a blended mode to suit
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Weekend classroom sessions are assisted by
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6. PGP CC:
PGP-Cloud Computing is a 6-month online
program that includes online and live virtual
classes. IT professionals not already working with
cloud technologies will gain a solid foundation
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choice, architecture and TCO. The program will
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range of cloud environments.
For more information on programs, visit
www.greatlearning.in.
GREAT LEARNING ALUMNI
IN LEADING COMPANIES
Microsoft
Cognizant
Adobe
Oracle
Deloitte
Target
Honeywell
KPMG
Taj
Amzon
Google
Yahoo
Flipkart
Citi
Dell
HP
IBM
Capgemini
Samsung
Infosys
Accenture
Fractal
J P Morgan
Intel
Zomato
Cisco
Barclays
Yatra
RBS
Shell
HCL
Philips
Sony
Boeing
Nokia
VMWare
SAP
Siemens
Morgan Stanley
HTC
Qualcomm
Deutsche Bank
MuSigma
Vodafone
Verizon
Jio
EY
Mahindra
Indigo
American Express
Standard Chartered
McKinsey&Company
GREAT LEARNING IN NUMBERS
Successful Alumni Learning Hours
Delivered
Career Transitions
Amongst Alumni
3000+
2
MILLION+
66%

FOR MORE INFORMATION,
PLEASE CONTACT
ANALYTICS INDIA MAGAZINE
info@analyticsindiamag.com
GREAT LEARNING
info@greatlearning.in
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