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Job Title: Project Manager, Marketing Strategy & Analytics
Job Location: IL: Chicago
Pay Rate: competitive
Job Length: full time
Start Date: 2012-11-19
Company Name: Numeric, LLC
Contact: Jim Sunderhauf
Phone: email only
Fax: email only
Description: As part of the Company’s objective to achieve 100% domestic acceptance, we are seeking a person to manage the Marketing Analytics projects and strategize concepts for the Global Merchant Marketing department. A key aspect of their activities will be to appropriately analyze our existing campaigns and to provide insight and future targeting recommendations to drive volume, activation and merchants stated acceptance within our portfolio. This individual will be involved in the strategy and evaluation of all Marketing programs. They will need to encompass both analytic and business skill sets to properly convey reporting and strategic input to the Marketing team.
The person is expected to:
Help build statistical models, mine data to detect for patterns, opportunities and insights using SAS suite of software.
Oversee the continued development of the analytic capabilities within the Network marketing support area, identify opportunities to improve the processes and streamline activities.
Communicate findings to team to help better their targeting efforts on marketing campaigns
Develop high level monthly reporting for upper management that encompasses all current campaigns
Ensure all analytics requests are appropriate and understood by analytics team and all data sets returned are on point to the request
Coordinate efforts with the Marketing team to review results from these requests, providing expertise in reviewing the data to other staff members as they work to draw conclusions from the data
Participate in the development of future campaign strategy
1. A Masters degree or a PhD in a quantitative discipline with at least 7 years experience in Marketing analytics or statistical analysis in general.
2. Experience in Data mining, statistical modeling, building logistic regression models, classification trees, segmentation, cluster analysis, neural nets, setting experimental designs and sampling techniques.
3. Knowledge of SAS, SAS/Stat and SAS Enterprise Miner is required.
4. Exposure to a SAS Grid environment in Unix a plus.
5. Experience presenting complex analytic model to a non-analytical audience.
Lean, Six Sigma and/or demonstrated process improvement expertise a plus
Job ID: 4490
Please refer to Job code 4490 when responding to this ad.
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