Job Description

Experience: 7 to 13 yrs
Role: Permanent with our client
Roles & Responsibilities
Develop statistical methodologies and deploy analytical tools to support different business initiatives
Continual enhancement of statistical techniques and their applications in solving business objectives
Compile and analyze the results from modeling output and translate into actionable insights
Acquire and share deep knowledge of data utilized by the team and its business partners
Participate in global conference calls and meetings as needed and manage multiple customer interfaces
Execute analytics special studies and ad hoc analyses
Evaluate new tools and technologies to improve analytical processes
Set own priorities and timelines to accomplish projects (accountability for project deliverables)
Efforts will focus on the following key areas:
Various classical Statistical techniques such as Regression, Multivariate Analysis etc.
Data Mining & Text Mining
Time Series based forecasting modeling
Customer Segmentation – Cluster & Factor Analysis
Customer Relationship Management Analytics
Demand Modeling
Statistical Scoring models to be used in Risk/Marketing domains
Market Mix Modeling
Structural equation modeling for identifying accelerators of customer satisfaction and loyalty
Candidates should have significant hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions
Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests
Good technical depth with strong analytical/programing skills and ability to apply technical knowledge to do research
R / SAS / Python or other quantitative analysis programming skills
Educational Qualification:
Advanced degree (Masters or PhD) in Statistics / Econometrics/ Operation Research / Actuarial Science or any other quantitative discipline or an Engineering degree with MBA from a premier institute and quantitative emphasis