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Senior Manager of Marketing Analytics


Job Number:44196698
Company Name:DishNetwork
Job Location:Englewood, CO US
Job Categories:Information Technology
Engineering & Architecture



Updated: 5/27/2012

Senior Manager of Marketing Analytics

DISH Network L.L.C (Nasdaq: DISH), is the nation's third largest pay-TV provider and the leader in digital television. As a TV entertainment provider, we are an industry pioneer and innovator known for driving technology to bring the best entertainment to millions. We believe that everything we do must begin and end with the customer experience.

 

DISH is an exciting place to work. We are a Fortune 200 Company with a workforce of 20,000 plus.  We bring excitement and enjoyment to millions of people every day and we provide a better overall TV experience at more affordable prices than our competition.  

 

Throughout our 30+ year history we have demonstrated our entrepreneurial spirit by achieving significant industry firsts. We were the first in our industry to offer high definition TV channels Free for Life, and we are the nation’s leader in HD programming with more than 200 national HD channels.  We are the only pay-TV company to offer a true TV Everywhere solution; our Sling technology allows access to live television and DVR content from a computer or any mobile device.  In addition, our recent acquisition of Blockbuster video stores only enhances our ability to provide subscribers with a richer entertainment experience at a great value.

 


  • Translating business problems into analytic frameworks and using advanced methods (data mining, statistical modeling) to create business value
  • Managing a team of analytics professionals and projects throughout entire development lifecycle: concept, design, production, testing and release of projects
  • Conceiving, communicating and owning the overall timeline for analytics projects
  • Driving innovation, both as a principal data analyst and manager of team(s) of analysts
  • Delivering solutions to all marketing verticals across the enterprise

  • MS or PhD in Applied Mathematics, Statistics, Computer Science, Operations Research/Management Science, Economics, or equivalent
  • 5-7 years of industrial experience in data science, working directly with data, building models, and measuring results

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