Manager, Analytics & Data Mining Office
Posted date [Oct-19-2009]
(ID: 107)
| 職務内容 | RESPONSIBLE FOR: Development & coordination of use of statistical techniques in assessing and optimizing performance of all marketing operations, including direct & sponsored channels. Also oversees all customer segmentation efforts Profit Centers in the development of targeted & profitable product offerings. BUSINESS RELATIONSHIPS: Profit Centers Managers, DR Manager, Sponsored Business Managers, Management, Contact Center, Regional Staff, etc. POSITION OBJECTIVE: 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 *Evangelise & educate employees across AIU 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 results with other marketing operations and analytic worldwide |
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| 応募資格 | 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). |
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| 待遇 | ||
| 勤務地 | Tokyo | |
