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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. |
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Responsibilities |
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- 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.
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Segmentation
Analysis: Assists in the design, development, and execution of
customer segmentation schemas.
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Customer Profile
Reporting: Assists in the design, development, and execution of
periodic reporting around customer behaviors and characteristics.
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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.
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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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