Job Description :
Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
Implementing statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, patterns and other relevant information
Expert on creating predictive models using SAS Enterprise Miner
Knowledge of databases, data modeling, data normalization etc. is a must
Collaborating with clients and other stakeholders to effectively integrate and communicate analysis finding
Providing guidance and project management support to the Associates on the team
Evaluating emerging datasets and technologies that may contribute to our existing analytical platforms
Establish the scope of the project, lead internal communication with stakeholders, and ensure delivery of the project per commitment.
Contributing to the thought leadership of the company by helping in researching the evolving topics and publishing them
Healthcare knowledge especially claims & member data is a very preferable

Qualification and Skills required:
7-10 years of experience in Data Analysis
Postgraduate qualification in Statistics (OR Computer Science) from a premier institute
Having hands-on experience on advanced analytics concepts and algorithms (e.g. Regression analysis Logistic Regression/Decision Tree, Monte Carlo methods, Survival Analysis, Simulation, Random Forest, Time series analysis etc
Exposure to tools – SPSS, SAS, R, Python
Excellent communication skills
Excellent critical thinking and problem solving skills
High motivation, good work ethic and maturity