Database Marketing Analyst 
The Database Marketing Analyst is responsible for leading complex behavioral analysis efforts in support of Marketing and other business activities. This individual may also be asked to lead or support a wide variety of general analytical activities, including the following: Demographic Data Management, Customer Lifetime Value, Marketing Planning Process Reporting, Marketing Database Stewardship, Segmentation Modeling & Analysis, Customer Profile Reporting, Churn Reporting, Risk/Credit Modeling, Ad-hoc Behavioral Analysis, Churn Modeling and Cross-sell/Up-sell & Response Modeling.

 

 

Responsibilities

 

  • Consultative Analysis:  Designs and leads the execution of complex ad-hoc behavioral analysis through consultative collaboration with stakeholder organizations, which include, but are not limited to, the following:  Customer Strategy, Marketing Operations, Field Marketing, Product Marketing, Brand Management, Customer Service, and Finance.  This analysis typically relies upon the extraction, manipulation, and interpretation of customer information stored in databases, and consequently requires considerable skill in those areas.
  • Demographic Data Management:  Works with internal and external partners to ensure that third party demographic data is appended properly and that the relationships with those third-party vendors are maintained.
  • Segmentation Analysis:  Assists in the design, development, and execution of customer segmentation schemas.

  • Customer Profile Reporting:  Assists in the design, development, and execution of periodic reporting around customer behaviors and characteristics.

  • Marketing Planning Process Reporting:  Assists in the design, development, and execution of reporting and analysis needed to support the periodic marketing planning process.

  • Model Development:  Uses “casual user” tools to construct basic to mid-level statistical models that can be used to drive insights as part of the consultative analysis process.

 

 

Qualifications

  •  Overall, must have the ability to think broadly and critically about a quantitative analytical problem and apply business, industry, and company acumen to developing and testing hypotheses in the solution of that problem.
  •  Must have a high degree of comfort with ambiguity, as well as the ability to create structure out of ambiguity for the purpose of designing & executing analysis.
  •  Must have superior peer leadership skills, as well as excellent verbal and written communication skills, and the aptitude to take on more leadership responsibility over time as required
  • A minimum of 4-6 years of experience in a relevant analytical field, or 3-5 years experience coupled with an advanced degree in a relevant field
  • Bachelor’s degree in a relevant field required; Master’s degree in statistics or economics preferred; MBA a plus
  • ]High level of proficiency in database manipulation using SQL
  • Advanced & demonstrated MS Excel, PowerPoint, and Word skills
  • Experience / exposure to modeling software tools such as SAS, SPSS, or KXEN is a plus
  • A high level of general business acumen, including a strong command of basic statistics, finance, and/or economics, as demonstrated through experience and/or education
  • Significant knowledge of the wireless industry or other industry with similar analytical structures
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