Senior Statistician ( R & SQL)

Job Description

• The Senior Statistician is responsible for applying and interpreting various statistical and data analysis techniques in support of a variety of analytic solutions. The role is for an Indian insurance client to work as a strategic analytics partner across the Insurance value chain including distribution channel retention fraud and digital areas. There is opportunity to work directly with the senior stakeholders of the client organization. Roles & Responsibilities Provide quality statistically valid analysis and related output Collaborate with cross-functional internal resources Master the desktop and UNIX/WINDOWS toolset (R Excel PowerPoint Word) to create content for evaluating statistical analyses such as tables reports graphs etc. Access and extract data from a variety of sources of all sizes (including client marketing databases) via R Access SQL etc. Manipulate raw data into analysis-ready datasets using R/SQL Proficiently apply and interpret various analytic techniques such as regression analysis (both linear and non-linear) cluster analysis CHAID factor analysis/principal component analysis time series survival models experimental designs using R and other statistical software Provide proficient problem solving and data analysis derived from modeling and statistical experience Document and articulate steps taken in an analysis to project managers Answer questions about data sets and analyses Take a proactive independent role in analysis design project planning and execution QC data and results produced by data analyst statistician other project team members Present statistical results to both technical and non-technical audience in a clear manner Master all the groups policies and procedures for programming project documentation and system management Become proficient with o Epsilon data assets o the R macro library Effectively manage time and resources in order to deliver on time / correctly on several (2-3) concurrent projects Act as a statistical or modeling mentor to Statisticians Perform two tasks related to the role of Manager Statistics during the year Minimum Qualifications: Bachelors degree in a quantitative discipline (e.g. Statistics Economics Mathematics Marketing Analytics) or significant relevant coursework Total 5+ Yrs of working experience and Minimum of 3 years of related experience Proficiency with various statistical methodologies such as regression analysis (both linear and non-linear) cluster analysis CHAID factor analysis/principal component analysis time series survival models experimental designs using R and other statistical software Demonstrated proficiency in R/SQL programming Familiarity and basic knowledge of open source statistical programs like R Python and KNime Strong analytic thought process and ability to interpret findings Acute attention to detail (QA/QC) Proficiency in MS Office; including PowerPoint Word Excel and Outlook Ability to work on multiple assignments concurrently Excellent verbal and written communication skills Highly motivated and collaborative team player with strong interpersonal skills Effective organization and time management skillsDesirable Qualifications: Advanced degree (Masters/PhD) in Statistics Economics or other quantitative discipline Database marketing experience/knowledge Working knowledge of Hadoop and other big data technologies

Job Summary