Jobs Admin — Published On January 5, 2015 and Last Modified On February 17th, 2015
Jobs Jobs - Business Analytics

Designation – Associate Analyst/Analyst

Location – Gurgaon

About employer McKinsey

Job description:

The Analyst 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.


  • Understanding requirements from our actuaries, statisticians and consultants to independently work with them to develop, maintain and augment MAHA’s propriety solution MPACT.
  • Independently drive analytic work stream(s)
  • 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
  • Acquire deep understanding of US Healthcare domain
  • Problem solve and propose solutions depending upon given constraints
  • 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 for client to use to improve decision making in key business processes (e.g., product development, pricing, and marketing)
  • Contribute positively to a dynamic team of analysts with skills including consumer marketing, risk, advanced statistical and/or actuarial analytics
  • Coordinate with other analysts and with leadership to develop sustainable and reproducible IP that can be applied across clients and markets
  • Work closely with Data management team to understand data availability/wholesomeness and drive synergies in the group
  • Perform data integration, manipulation, and querying for purposes of reporting and more sophisticated analytics
  • Present complex information in an understandable and compelling manner
  • Deliver end products/solutions maintaining quick turn around times and highest quality standards
  • Enhance the existing modelling process to attain better efficiencies

Qualification and Skills Required

  • Post Graduate/Graduate in Statistics or MBA from reputed institute, and having a course in mathematics/statistics is a plus
  • Thorough understanding and application of statistical techniques in real world business environment
  • Exceptional academic qualifications including advanced statistical training, consumer marketing and/or risk analytics (actuarial experience a big plus)
  • Experience in independently executing advanced analytics with practical business output (e.g., statistical, data and ideally actuarial) to drive business results
  • Soft Skills
  • Strong problem-solving and logical skills
  • Good written and verbal communication skills.
  • Ability to multi-task, work under pressure and deliver accurate, high volume results on tight deadlines.
  • Energetic, cooperative and pleasant personality
  • Ability to actively contribute in a talented team with various backgrounds in a dynamic, complex and fast-paced environment.
  • Excited to help build a start up business in an ambiguous environment
  • Advanced coding skills using Mat lab (Must have)
  • Ability to use statistical software packages such as SAS (SAS Base, with knowledge of SAS Enterprise Guide or SAS Enterprise Miner), SPSS, R and database software packages such as SQL
  • Experience in working with enterprise class data environments to access, manipulate and analyze large data sets
  • Experience in business intelligence/MI projects, such as SAS Enterprise Guide 9.2, SAS BI dashboard 4.3/4.2
  • Advanced understanding of MS SQL, MS Access, MS Excel
  • 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, etc.
  • Advanced Analytic experience (2-4 years) in a real-world business setting with 1-2 years of Mat lab coding experience.
  • Strong preference for experience in US health insurance analytics (ideally Individual, Small Group, Senior markets) and an understanding of the key drivers of consumer value in health insurance

Result Orientation:

  • Links all activities back to personal and organizational objectives
  • Agrees on both long and short-term priorities and is prepared to meet the end objective
  • Relationship Management:
  • Understands how activities in other parts of the business impact on own area and vice versa
  • Builds lasting relationships within and outside the organisation and uses the network for the benefit of all parties
  • Creates opportunities to meet with network regularly on an informal and formal basis
  • Shares knowledge of where to go for help outside the team


  • Able to influence a range of individuals from different levels, backgrounds by tailoring approach to suit the individual concerned
  • Effectively manages own impression and presents others with alternatives to secures a win-win situation
  • Ability to take personal ownership over projects, innovate and improve client solutions

Interested people can apply for this job can mail their CV to [email protected] with subject as Associate Analyst/Analyst – McKinsey – Gurgaon

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