Consultant Analytics

Role Purpose

Support strategic and tactical marketing issues for Relationship Marketing and/or a specific Brand Marketing or Business department by providing analytical consulting on operational and program structure issues for the frequency program. Provide recommendations on consumer targeting through the statistical modeling of customer behavior.

Key Accountabilities

• Based on analytical objectives from business functional areas (Marketing, Sales, Reservations, Franchise Services, Field Marketing), utilize campaign management, data mining software, and statistical/computational methods to analyze results of direct marketing testing in frequency and non-frequency applications.
• Build statistical models of customer behavior and business processes and make recommendations for enhancements to the marketing database from an information needs perspective.
• Prepare presentations to marketing managers based on interpretation of data analysis to report findings and make recommendations based on results.
• May also develop content for formal Analytical Skills training courses for marketing managers.
• Apply analytical techniques to one or more disciplines. .
• Select and use appropriate software to effectively analyze data.
• Compile and analyze information.
  
  

Key Skills & Experiences

Education

Bachelor’s or Masters Degree in Quantitative Discipline or an equivalent combination of education and work related experience.

Experience

• 4 to 7 years progressive work related experience in relational decision-support databases and consulting in the analytics discipline with demonstrated proficiency and understanding in one or more functions related to the position. Technical Skills and Knowledge
• Demonstrated quantitative/computational skills.
• Demonstrated proficiency with statistical techniques for post promotion analysis and response modeling.
• Demonstrated knowledge of multivariate techniques.
• Demonstrated proficiency developing queries in order to transform data from relational and flat-file database structures.
• Demonstrated experience with statistical software (SAS) and on-line analytical processing tools.
• Demonstrated experience programming in a modern programming language. Working knowledge of SQL.
• Demonstrates clear, concise, and succinct communication skills, including adapting both verbal and written communication to the needs and level of the user.
  
  

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