Manager, Statiscal Analysis Company: hotels.com Location: US-TX-Dallas Job Category: Advertising/Marketing/Public Relations Job Description Job Title: Manager, Statistical Analysis Reports To: VP of Customer Marketing Department: Marketing Division As a part of the IAC conglomerate of internet businesses, hotels.com is one of the leading e.commerce travel companies in the world. Externally, hotels.com is recognized as an industry leader by news organizations such as CNN, the Wall Street Journal and USA Today. Internally, our employees recognize us as an ever- evolving, fast paced, innovative company with a culture built on integrity, passion and results. As such, we are always looking for ways to continue to drive growth and find new ways to outperform the competition. The hotels.com brand strategy is currently evolving from that of the past where we were known primarily as an aggregator of deep discounted hotel properties. In order to compete and grow for the future, we believe that the “hotel experts” brand strategy will provide even greater benefit for the consumer. Through this strategy, we want the consumer to feel confident that we can help them find the right hotel experience at the right price so that they don’t have to look any further. Through expert content, improved site functionality, and enhanced property merchandising we can make this a reality. SUMMARY: The Manager of Statistical Analysis role is critical in helping us transform our business to be more data driven and customer centric to support our expert strategy. The role will be responsible for directing and utilizing advanced/statistical data mining techniques coupled with sound business knowledge to identify trends, exploit opportunities through predictive modeling, and drive incremental profits. The role also provides expertise in developing a statistically proven customer profile and segmentation methodology to be utilized in driving targeted marketing efforts. In addition, this person will oversee all customer and merchandising data analysis and works with marketing team to perform appropriate test and control evaluations. Finally, the role will be responsible for managing projects and deliverables to ensure deadlines are met with results that meet expectations and are empirically grounded. ESSENTIAL RESPONSIBILITIES: (List all areas of responsibility in order of importance to the Company. Record percentage of time for each area – total should be 100%) 1. Develop, execute, and manage various statistical analysis initiatives including profiling and segmentation, analytical merchandising, personalization, target marketing, cross-sell/up-sell, ongoing A/B testing, etc. 35 % 2. Perform mining activities against customer and product data, develop predictive models and analytical processes to determine how to affect merchandising and customer behavior, test hypotheses, and implement solutions to drive incremental business. 40 % 3. Design, perform, and present empirical research and analytical studies using data from a variety of internal and external sources (includes customer data as well as product data related to margin and conversion) to identify new trends, extract new insights, and solve overall business problems. 20 % 4. Measure and report on how the company is performing in relation to the projected cost reductions and revenue benefits identified for CRM initiatives. 5 % Technical Knowledge/ Skills: (qualify level of skill required for this role: entry, intermediate, advanced) ·Advanced proficiency with statistical and data querying software: SQL, SAS, SPSS, LIMDEP, etc. ·Advanced proficiency with communications software: Internet access, FTP, modem ·Advanced proficiency with Excel, Word, PowerPoint, Access General Areas of Knowledge: (qualify other important skills: entry, intermediate, advanced.) ·Advanced statistical and empirical analysis and predictive modeling ·Advanced CRM development and management expertise EDUCATION / EXPERIENCE: Minimum ·Undergraduate degree in Engineering, Economics, Mathematics, Statistics, Market ·Research, Business or other related discipline ·5 years in data analysis/mining, statistical modeling, and CRM management ·Ability to extract, cleanse, and transform data from legacy systems ·Proven effectiveness as a creative problem solver; ability to challenge conventional wisdom and approaches through empirical analysis and evidence ·Proven effectiveness in project management and delivery Ideal ·Master's or Ph. D degree in Engineering, Economics, Mathematics, Statistics, Market Research, Business or other related discipline ·7 years of CRM and statistical modeling experience in retail environment