Hello All,


Hope you are doing good.



Send me resumes at <am...@zenithtechsolutions.com>



*Jacksonville, FL*



*GENERAL INFORMATION*

*Position:*

Data Modeler

*Position-Specific Skill:*

SAS

*Desired Start Date:*

6/9/2014

*Desired Education Level:*

Bachelors

*Job Description:*

This job provides statistical consulting for direct marketing campaigns
based on analyzing data and creating models to increase efficiencies of
campaigns

Develop propensity models based on campaign response, lead distribution,
customer attrition, and cross selling opportunities.

   - Develop database specifications for segmentation, targeting,
   fulfillment, data enhancement, contact data set creation and relationship
   marketing campaign programming.
   - Track, report, and analyze data to recommend retention strategies,
   acquisition strategies, and maximization of customer lifetime value through
   effective use of relationship marketing.
   - Extract and aggregate consumer data as needed for model development.
   - Perform exploratory data analysis, data cleansing, and data
   visualization using data mining tools.
   - Develop and apply data transformations and derivations to support
   downstream modeling initiatives.
   - Utilize statistical/data mining techniques (e.g. clustering, missing
   value patterns) to impute missing values in modeling datasets.
   - Score consumer data sets and campaign lists for effectiveness and
   optimized sales results, as needed.
   - Translate business needs to data elements in the Marketing Database
   and other data marts to source, extract, match and modify data to enable
   modeling efforts.
   - Develop and validate multiple models (e.g., Decision Trees, Logistic
   Regression, Neural Networks) to address business problems.
   - Utilize profit matrices to maximize ROI on models.
   - Develop, document, and maintain standards for campaign data storage
   and retrieval within multiple systems to ensure consistency and integrity
   of all data used for business modeling and forecasting.



Consult and advise campaign teams on how to increase efficiencies of direct
marketing based on modeling.

   - Develop reports and presentations documenting analyses and ensuring
   that key stakeholders understand the business implications for those
   analyses.
   - Use model selection techniques (e.g., Life/ROC curves) to identify and
   deploy the best model.
   - Recommend appropriate statistical solutions to business problems to
   ensure the effectiveness of marketing target audience list.
   - Determine and recommend models (predictive models) that can be used to
   improve efficiencies of direct marketing, customer retention, and cross
   sell opportunities/results.

Identify and recommend improvements to enable increased campaign results.

   - Identify, investigate, and document possible root causes of trends,
   issues, and performance gaps based on analyses and campaign results to
   determine improvements and recommendations.

Monitor and evaluate progress of improvement initiatives through
conclusions including the impact of the predictive models on the marketing
campaign results.

*Job Requirements:*

   - Required:
      - Bachelor’s degree in Statistics, Mathematics, Finance or related
      field or equivalent work experience.
      - Minimum of 5 years experience in marketing science, statistical
      analysis, market response modeling, data mining, business modeling and
      forecasting.

*Advanced*

   - Experience in database marketing capabilities and relational database
   architectures.
   - Demonstrated relationship skills, active listening skills, and the
   ability to understand, translate, and communicate marketing and data
   concepts.
   - Ability to track, to report, and to analyze data/results and make
   strategy recommendations for multi-facet, complex direct-marketing
   campaigns.
   - Ability to leverage reporting, analytical, and data mining software
   tools, e.g. statistical software and databases - SAS, SAS Enterprise Miner
   and SQL.
   - Ability to use statistical mining techniques, e.g. Decision Trees,
   Logistic Regression, Neural Networks, Clustering, Missing Value Patterns.
   - Ability to use model selection techniques, e.g. Lift/ROC curves.
   - Ability to manage multiple projects simultaneously.
   - Strong attention to detail.



*Intermediate*

   - Proven ability to build relationships within the business area, across
   the organization, and external to BCBSF.
   - Knowledge of project management.
   - Ability to use MicroSoft Office, e.g. Word, Excel, PowerPoint, Access
   - Knowledge of CQI tools and techniques, i.e. Six Sigma.

Preferred:

   - Experience in the health care industry.
   - Knowledge of heath care products.
   - Yellow-belt certification.

Masters degree in Statistics, Mathematics or a related field

*Number of Openings:*

1

*Maximum Submittals:*

2



*SKILLS*



*·  SAS,Moderate,0-2 years,0-1 years ago*

*·  SQL,Moderate,0-2 years,0-1 years ago*

*·  Analysis,Strong,0-2 years,0-1 years ago*

*·  Data Mining,Strong,0-2 years,0-1 years ago *





*Amit*
* Sr. Recruitment Manager*

*Zenith tech Solutions*
* Desk: **518-621-004* <518-621-0048>*6*
* Fax: **518-244-4977* <518-244-4977>
* 3 park Hill*

*Albany, NY 12204*
*am...@zenithtechsolutions.com* <am...@zenithtechsolutions.com>

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