Job description: Qualification and Skills Required Experience Level: 5- 8 years of experience with statistical background Able to build statistical model based on the requirement Identify the required data elements and build the algorithm Demonstrate Rev R capabilities Ability to articulate, influence and explain analytical findings and recommendations with very high level of confidence Should have hands on experience in Multi variate analysis like clustering, decision trees, logistic regression, survival analysis, marketing mix modeling and social media analytics Knowledge on linear programming will be preferred Demonstrated ability to communicate effectively (verbal and written (including presentations using data visualization methods) Performs very complex analyses involving data mining and predictive modeling, regression/ multivariate analysis, financial, and/ or comparative analysis. Ensures adherence to data management regulations and policies Ensure stability of the overall analytics ecosystem in terms of deployment and enhancement Very Good Communication Skills. (Mandatory)
Job Classification
Industry: Medical / Healthcare / Hospitals Functional Area: ITES, BPO, KPO, LPO, Customer Service, Operations, Role Category: Back Office/Web/Transaction Processing Role: Back Office/Web/Transaction Processing Employement Type: Full time
Education
Under Graduation: B.A in Statistics Post Graduation: M.A in Statistics Doctorate: Doctorate Not Required, Any Doctorate in Any Specialization