Analytics and Modeling Manager

Analytics: 
Create new insights from predictive statistical modeling activities that
target and deliver value to our clients.

Reports to: 
Analytics and Modeling Senior Manager

General role description: The function focuses on
delivering advanced analytics as a service.

Primary Job Responsibilities:

·     
Leads the delivery of strategic advanced
analytics solutions across different industries

·     
Provide analytics insights and solutions to
solve business problems that are specific to client requirements

·     
Leverage analytics within transformation
projects in operations through maturity assessments and one-time analytics
projects

·     
Support operations in fact-based decision
making, RCA and strategic initiatives through data analysis, text analysis and
statistical modeling.

·     
Follow multiple approaches for project execution

·     
Adapt existing assets to Operations use cases

·     
Explore third-party and open source solutions
for speed to execution and for specific use cases

·     
Engage in fundamental research to develop novel
solutions

·     
Collaborate with other data scientists, subject
matter experts, sales, and delivery teams from company locations around the
globe to deliver strategic advanced analytics projects from design to
execution.

·     
Build and manage analytics team for at least two
towers

Education & Experience Requirements:

·     
Master's or Ph.D. degree in Statistics,
Mathematics, Computer Science, Economics, Physics, Engineering, or related
scientific disciplines

·     
Work experience of at least 10 years in relevant
industries (Financial Services, Network, Utilities, Health Care, Marketing,
Pharma, Retail etc.) – with hands on experience handling data-driven decisions

·     
Experience in statistical modeling, machine
learning, data mining, unstructured data analytics in corporate and/or academic
research environments

·     
Expert in statistical and other tools/ languages
– e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala

·     
Familiarity with relational databases and
intermediate knowledge of SQL

·     
Proven background in at least one of the
following: Reliability models, Markov Models, Stochastic Models, Bayesian
Modelling, Classification Models, Cluster Analysis, Neural Network,
Non-parametric methods, Multivariate statistics

·     
Aptitude to learn, think creativity to solve
real world business problems, and work in a global collaborative team
environment

·     
Proficient verbal and written communication
skills in English

Nice to Have:

·     
Hands on experience in developing and delivering
machine learning models that work in a production setting

·     
Experience working with large data sets and
tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies
like Spark, Flink, etc.

·     
Experience in any of these domains:
Infrastructure Services, Security, Retail, Digital Marketing, eCommerce,
Insurance, Supply Chain, Banking, Capital Markets, etc.

Functional Skills Required:

·     
The knowledge and ability required to design,
develop and deliver people and process solutions for clients and company. A
specific knowledge and ability typically needed to fulfil responsibilities
associated with work done and consistent with a talent segment and role.

·     
Has mastered the following skills:

o  
Business Analysis, Requirements Gathering

o  
Analytics Solutions Design Skills

o  
Stakeholder Management Skills

o  
Project Management Skills

o  
Story Telling or Communication Skills

o  
Critical Thinking and Problem-Solving Skills

·     
Technical Skills Required:

The knowledge and ability required to design,
develop and deliver IT, platform, architecture, software and infrastructure
solutions for clients.

·     
Has advanced technical skills on the ff:

o  
Data Visualization and Business Intelligence

o  
Data Mining knowledge

o  
Data Management

·     
Has expert technical skills on the ff:

o  
Analytical Skills (statistical analysis, data
transformation, descriptive/predictive/prescriptive analytics)

o  
Modeling and Algorithm Building

o  
Analytics Solutions Design

o  
Modeling Tools like R and Python

Domain and Industry Specialization:

·The knowledge and ability required to influence
our clients' business agenda and generate value in the context of the
industries in which they operate.

·     
Cross-industry Knowledge – APPLIED

·     
Cross-domain Knowledge – MASTERED

Leadership Skills Required:

·     
Innovate for Results

·     
Advocate a compelling vision

·     
Collaborate across ecosystem

·     
Execute with Agility

·     
Personalize in a truly human way