Jobs

Description

• Apply advanced analytics (e.g., statistical regression, modeling, data mining) to improve the B&N loyalty marketing program results.
• Work with marketing business managers to understand their business needs. Leverage statistical techniques to help develop marketing campaign tests (with appropriate sample-sized test/control cells and other parameters, for instance), and conduct post-campaign statistical analysis with regards to test cell variances (e.g., using linear regression).
• Develop an overall methodology for setting up marketing campaigns from experimental design and operational point of view and for analyzing them using statistical techniques.
• Work with an RDBMS (e.g., Oracle) to manipulate customer data for modeling and analytics.
• Interpret and translate the results achieved from the statistical analysis into business language for management presentation.
• Help business managers utilize advanced analytics results to develop actionable marketing programs.
• Offer ideas for "continuous improvement" in marketing tests design and analysis.
• Evaluate new analytical tools as required.

• 5+ years industry experience (preferably in Retail, Financial Services, Publishing)
• Extensive knowledge of statistical techniques for marketing tests design, post-campaign analysis of customer behavior/results, and predictive modeling.
• Knowledge of statistical tools such as SAS Base/Stat. Knowledge of predictive modeling tools such as SAS Enterprise Miner or Unica Affinium Model would be a plus.
• Business orientation - be able to take marketing needs and translate them into marketing tests development; subsequently, interpret results in actionable business terms for managers.
• BA/BS in Mathematics, Management or other technical discipline, or equivalent experience, required.
• Master's degree in Statistics, Mathematics, or equivalent field is a plus.

Mark Israel
misrael@book.com
Include MPAA in the Subject field of your email.