Analyst/Sr Analyst - Analytics - Healthcare

Analyst/Sr. Analyst - Analytics

We are assisting one of the Leading Management consulting firm for the position of Analyst/Sr. Analyst – Healthcare based out of Gurgaon.

Purpose:

- The candidate will be responsible for working with statisticians, actuaries, experts and consultants to understand the client’s requirements, to design and to develop intelligent solutions using US Health Insurance databases.

Industry: Healthcare

Main Responsibilities:

- Understanding requirements from our actuaries, statisticians and consultants, to independently work with them to develop client solutions

- Integrate advanced actuarial modelling, analytic and quantitative tools, statistical modelling techniques, and data mining procedures and tools to derive business insights, solve complex business problems and improve decisions

- Understand health insurance data structures of client and external data sources to conduct quality checks and formalize validation rules to ensure the data is complete and accurate

- Engage in regular problem solving sessions with overall leadership and analytic team leadership to present findings and refine their own analytic plan

- Develop actuarial and/or statistical models (e.g., lapse and risk prediction models) for client to use to improve decision making in key business processes (e.g, product development, pricing, and marketing). Conduct quantitative analyses across the spectrum of claims, product, pricing, marketing and sales analytics, including segmentation, propensity modelling, funnel analysis, CLM, digital marketing, risk mix modelling and pricing.

- Contribute positively to a dynamic team of analysts with skills including consumer marketing, risk, advanced statistical and/or actuarial analytics

- Deliver end products /solutions maintaining quick turn around times and highest quality standards

- Train junior team members on technical skills and software application

Eligibility:

- Post Graduate/Graduate in Statistics or MBA from reputed institute, and having a course in mathematics/statistics is a plus

- Exceptional academic qualifications including advanced statistical training, consumer marketing and/or risk analytics (actuarial experience a big plus)

- Experience in Statistical Modelling using Univariate and Multivariate Regression Analysis, Generalized Regression Modeling, ANOVA/ANCOVA/MANOVA, Non-Parametric methods, Categorical and Longitudinal Data Analysis, Survival Analysis, mixed models, Factor Analysis, Sampling methods, Bayesian Statistics, Monte Carlo Markov Chain simulation, Experimental Design, Protocol Design, Survey Sampling, Clustering/Classification CART, Decision Trees, CHAID, Linear Optimization,

- Ability to use statistical software packages such as SAS (SAS Base, with knowledge of SAS Enterprise Guide or SAS Enterprise Miner), R and database software packages such as SQL

Experience: 2-8 Years of relevant experience preferably in Advanced Analytics

Interested candidates may mail their CV to smita.gangwani@randstad.in

Prabhat sharma