Director of Business Intelligence

Company: Thindata 1:1
Location: Salt Lake City, Utah
Web: www.thindata.com

About Our Company
Located in Salt Lake City, Utah ( Relocation not necessary )

Thindata 1:1 (www.thindata.com) is focused on the power of data as it drives 1-1 marketing communications. We believe that the insights gained from business and customer intelligence gives marketing minds the ability to deliver unusual results for our clients.

The Position
The Director of Business Intelligence guides a small team of analysts in the pursuit of significant insights that set us apart from our competitors. In addition, the position is a vital member of the Senior Management Team of our company. This allows the incumbent to contribute to the company's product development process on a daily basis. Responsibilities

• Conduct applied research in the areas of classification, clustering, data reduction, sampling and evaluation.
• Work directly with software engineers who will implement the technologies to effectively transition the results of your efforts from research to production.
• Performs and directs exploratory analysis in large amounts of client data.
• Apply statistical analysis to answer business questions.
• Synthesize results of the analyses, make recommendations and assist in presenting findings to stakeholders across business units.
• Leverage data analysis to provide guidance in developing multi-channel, trigger-based direct marketing programs.
• Provide direction and insight in the development in predictive models, support vector machines and neural networks.
• Develop routine and ad-hoc reports to address corporate reporting needs, in particular for sales and marketing departments.
• Monitor fluctuations in customer behavior to identify shifts or corrective actions needed inside a customer contact strategy.
• Research and develop statistical models to be implemented and integrated in our client offerings.
• Establish key performance indicators as a method of measuring overall program success/failure.

• Minimum of a Master or Ph.D. in Statistics, Computer Science, Applied Mathematics or a related quantitative discipline.
• At least 10 years of related work experience related to responsibilities outlined above and at least 5 years related experience in the marketing field.
• Knowledge of data querying, data mining, statistical programming, modeling and reporting.
• Expert working knowledge of a statistical package such as S-Plus (preferred), R, or SAS.
• Meaningful experience in building predictive models for production applications.
• Expert in classic applied statistics (linear models, logistic regression, hypothesis testing, sampling).
• Understanding of experience working with ontology-based systems is a plus.
• Clear thinker with the ability to effectively communicate concepts, both verbally and in writing, to technical and non-technical audiences.
• Demonstrated ability to work effectively in a dynamic, collaborative environment.
• Working knowledge of relational databases and SQL.

• Medical/dental/life
• 401(k) with company match
• Paid time off
• A business casual environment

Rastar is an Equal Opportunity Employer EOE/ADA