Manager, Statiscal Analysis

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, is one of the leading e.commerce travel
companies in the world. Externally, 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 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.

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.


(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


·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

·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