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Manager, Analytics

Location : Scranton, PA
Job Type : Direct
Hours : Full Time
Required Years of Experience : 3+
Required Education : MS
Travel : No
Relocation : No

Job Description :

SUMMARY


Utilize analytics to continuously assess and improve the company’s approach in brand strategy, sales force strategy, targeting, and other projects to enhance sales and marketing functions.  




RESPONSIBILITIES


· Utilize advanced analytic thinking and understanding of operations to enhance the strategy and tactics for the marketing and sales organizations. 


· Transform data into meaningful, action oriented business insights that improve resource utilization and increase revenue. 


· Develop strategic analyses using multiple advanced mathematical tools, (e.g. SAS), and statistical analysis concepts to address marketing and sales issues and opportunities  


· Identify new opportunities to utilize data and analytic concepts and  propose new solutions


· Work with internal customers as a business partner (e.g. Product Marketing, Sales, Senior Management) to understand their products, product pipeline, etc.  


· Manage projects from initial business requirement development through to implementation and ensure that all timelines are met. 


· Develop dashboards and strategic reports and analysis that deliver insight in to marketing and sales operations.




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Required Qualifications :

 REQUIREMENTS


· 3+ years of experience with BI and Data Analytics tools, (SAS, MicroStrategy, etc.)


· Excellent hands-on SAS Programming and analysis skills


· Experience with SAS Enterprise Miner


· Knowledge of Predictive Modeling, Statistical Business Analysis & Regression Analysis


· Knowledge of campaign response modeling


· Experience working with 3rd party data and tele-sales and direct sales data  


· Client facing skills to work with internal and external client and deliver insights and recommendations


· In depth writing and presentation skills


· A Master’s Degree is required in Math, MIS, OR, IE or related technical field        


 


PREFERRED QUALIFICATIONS:


·        PhD. in Math, MIS, Industrial Engineering, or Operations Research


·        Certifications in SAS Programming


·        SAS Statistical Business Analysis using SAS 9 version


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