損害保険事業統括会社でのManager, Analytics & Data Mining Officeの求人

Develop and implement quantitative models utilizing statistical modeling, neural networks, and other advanced data-mining techniques for the following functional areas;
*Campaign Response Modeling
*Production & Profitability Forecast Modeling
*Media Spend Optimization Modelingl Customer Life-Time Value Modeling
*Call Center Resource Optimization Modeling
*Persistency Modeling
*Claim/Loss Modeling
*Web Clickstream Analyses
*Social Media Analyses
*Customer Segmentation Analyses
*Customer Survey Analyses
*Work with marketing, operations and PC managers to use analyses to continuously improve results in all acquisition, cross-sell and retention programs.
*Proactively contribute new and innovative ideas to meet the marketing division’s performance goals and improve overall business profitability.
*Work closely with Profit Centers to communicate findings in a way that supports product development efforts and profit maximization.
*Analyze cross-channel migration behavior of customers and refine segmentation models and marketing programs accordingly; develop consistent metrics and KPIs for assessing DBM and Hybrid efforts with other channels.
*In conjunction with profit centers and Corporate Communications, coordinate analyses of internally available data (data mining, media research, brand research, etc.) with external market research data
*Assist Direct Response Dept. in coordinating, communicating and optimizing call center demand forecasts
*Introduce multi-variate analyses and experimental design techniques into testing plans, particularly for creative tests in DR and web campaigns.
*Provide advice on test design, tests of significance, sample size requirements and other issues that may arise with regards to quantitative analyses.
*Interface with the IT staff to implement models and other marketing strategies.
*Formulate data hygiene standards and evaluate new data sources for modeling and marketing purposes.
*License and acquire vendor data (Geodemographic, Lists, etc.) to support modeling activities and other research.
*Provide support and validation for ongoing database selections, scorings and special projects.
*Develops consistent standards for measuring and improving customer satisfaction KPIs
*Overseas standardization of Customer Survey/Feedback processes across this company
*Evangelise & educate employees across this company on the business applications of statistical techniques.
*Assist other stakeholders in development of data privacy and security policies, as necessary.
*Hire, train and manage other analyst(s) as necessary.
*Assist in documentation & diffusion of this company results with other marketing operations and analytic worldwide

REQUIRED EXPERIENCE:
*In-depth knowledge of multivariate analysis, generalized linear models, tree-based classification models, neural networks and other modern data mining and predictive modeling techniques.
*Advanced knowledge of standard data analysis and data mining software packages : SAS, SPSS, Angoss KnowledgeSeeker, Splus, etc.
*At least 5 years experience applying statistical modeling techniques in a commercial marketing environment, preferably in financial services; Insurance experience & direct marketing experience a strong plus.
*Experience in extracting and manipulating large and unstandardized data with SAS on Mainframe MVS Environment and NT platforms is essential.
*Experience with relational databases (Sybase or Oracle) and SQL on Unix and NT platforms.
*Strong knowledge of IBM and compatible utilities (TSP/ISPF, IBM utilities, sort) in an IBM MVS environment is required.

PERSONAL SKILLS:
*Mature, self-starter. Ability to work under pressure with many clients, and handle different project at the same time.
*Strong interpersonal communication, presentation & influencing skills.
*Strong PC skills
*Strategic thinking and planning skills.
*Excellent Japanese language skills (native ; verbal/written).
*Excellent English language skills (verbal/written).