The document discusses career opportunities in analytics. It begins by defining analytics as discovering meaningful patterns in data. It notes that analytics provides business opportunities by converting information to insights and spotting hidden trends. It provides examples of how analytics has been used in finance, marketing, operations, and HR. Key points made include that analytics skills are in high demand, salaries for analytics roles are high and increasing, especially for those with both analytics and domain knowledge, and common career paths involve progressing from analyst to manager roles. It promotes Dimensionless Technologies, an analytics training company, and provides details on their courses, trainers, and mission to provide affordable technical education.

1. Career Opportunities with
Analytics

2. WHAT IS ANALYTICS ???
“Analytics is the discovery of meaningful
patterns in a given set of data”
Source : Wikipedia

4. – Too much information in various different formats
– 80% of data is unstructured … the challenge is put it all together and
make sense
– Analytics provides lucrative business opportunities, certainty and
predictability in decision making process
– Spot hidden trends, predict outcomes in everything from weather
forecasting to transportation scheduling to financial performance
Analytics is “converting information to insights”
What have we learnt

5. Analytics - Examples
Finance
Business Problem : How to check credit worthiness of 1st time borrowers.
Issues: No credit scores
How to get the data : We need to get some feedback on customers from
some 3rd party. So the bank companies approached Telecom companies
for the payment history of their customers.
On the basis of the payment patterns from telecom, utilities and other
parameters such as Income, age etc. they deduced an algorithm to predict
their credit worthiness.
This model came out to be 85 % accurate , reducing the number of
defaulters significantly.

6. Analytics - Examples
Marketing
Business Problem : Reduce customer churn of good customers
• Applied analytics on various parameters like monthly bill, VAS usage,
timely payments etc. to figure out the “Good” customers.
• Studied patterns to understand which customers might leave and
provided customized offers for every customer based on their behavior
which are most likely to help in retention.
This model came out to be 70 % accurate , reducing the number of churn.

7. Analytics - Examples
Operations
Business Problem : Optimize inventory across locations.
Approach : Applied Analytics on parameters such as Purchase trends,
Income group, age distribution and many more.
Based on this Inventory optimization, Best Product Mix, Offer optimization
was achieved across numerous locations
An increase of 5% in sales was achieved.

8. Analytics - Examples
HR
• What if you could predict which high performers were at risk of
leaving six months before they walked out the door?
• What if you could merge external data with your own business
metrics to project workforce demand six, nine or even eighteen
months from now?
• What if you could triage incoming resumes overnight to predict
employee success and tenure – before you hire?
These are key questions that we believe you should consider addressing
with Workforce Analytics

9. Why should I care about it ?

10. MBA + Analytics
Functional
Knowledge
Analytical ability
Big Picture
Domain
Statistics
Presentation
MBA SKILLS
Basic
Programming
ANALYTICS
SKILLS

11. Industry Speaks
- Corporations want data science “unicorns” – those with the quant
skills, computer science skills, presentation skills, and deep domain
knowledge in areas like finance, marketing and the supply chain.
Sangeet Chowla, CEO, GMAC
- “A combination of digital skills, industry knowledge and client-facing
skills is a powerful combination in the current market,”
Sanjeev Bikhchandani, CEO, Naukri.com
- “NASSCOM predicts big data to be worth around $0.5 billion by 2015 in
India, growing to $1.3 billion by 2018”

15. Analytics as a career
Job opportunities are increasing and will go on increasing for next few years

16. Salaries
There are two areas that you can work for :
• Captives like BFSI, Retail, e-commerce, Telecom etc.
• IT companies/Analytics companies who work for these captives
Captives usually pay higher because one is bound in a particular domain.
• Professionals with skills in Big Data & Analytics domain command a
premium of 30% over others working in similar role
0
5
10
15
20
25
Analyst Sr.
Analyst
Asst
Manager
Manger Sr.
Manager
Salary (in Lakhs/annum)
Analyst
Sr. Analyst
Asst Manager
Manger
Sr. Manager
0
2
4
6
8
10
12
14
Salary (in lacs/annum)
IT
Consulting
Retail
e-commerce
BFSI

17. Career Progression
Analyst (0-2 years)
Sr. Analyst (2-5 years)
Assistant Manager (5-8 years)
Manager (8-10 years)
Sr. Manager (10+ years)

18. Industries

19. How can I get into this ??

20. Skills Required
For a career in analytics -
• Business Skills
• Analytics skills, and hands on experience with Analytical tools
• Knowledge of modeling techniques and econometrics
• Basic programming
• Good presentation and communication skills
Domain
Knowledge
ProgrammingStatistics

21. Course Details
Machine Learning
Descriptive Statistics
Data Analysis with R
Data Visualization
Inferential Statistics
Duration - 60 hours (15 sessions of 4 hours each)
Course Content -

22. Companies
200+ Analytics companies have come up to fill the demand being generated in
Analytics. Some major ones are listed here.

24. Dimensionless Tech. Pvt. Ltd.
A-1103, Tulsi Gagan Apt.,
Near Apeejay School,
Sector-21, Kharghar
Navi Mumbai
Contact --: 8108094992, 9923170071
info@dimensionless.in
Visit us @ www.dimensionless.in

26. About the company
Dimensionless Technologies Pvt. Ltd., was established by IIT graduates with
an aim to improve the employability quotient of students by imparting
dedicated trainings for different skill sets.
Operational since June 2015, it is headquartered in Pune with another office
at Navi Mumbai. We have trained around 100 students in Analytics, Big Data
and Hadoop.
Mission : Be the market leader in providing quality technical education to
students at affordable cost.
Using our portfolio of courses we seek to develop the skill set of students in
their field of interest leading to a more satisfying and rewarding career.

27. Trainer Profiles
Vikas Sharma
B.E. and MBA(GIM)
An expert in Data science
and Advanced analytics
with 7+ years of
experience in Industry.
Conducted statistics
courses for students at
GIM
Priyanka Gupta
B.E. & MBA(NMIMS,
Mumbai)
Rich experience of 9+ years
in IT and Marketing space
with special focus on Digital
marketing
Himanshu Arora
(FOUNDER)
With a B.Tech. degree from
IIT, Powai
Over 8 years of rich
experience in manufacturing
industry. He loves to teach
and has taught in various
training institutes
Kushagra Singhania
(FOUNDER)
B.Tech and MBA from IIT,
Delhi
Around 7 years of
experience in IT and teaching
domain with around 3 years
in Social, Mobility, Analytics &
Cloud

28. Embrace the future with us !!!
Industries are changing fast and so
are their needs. Basic skills will not
take you far ….
Are you up for the challenge ??