Advertising & Analytics - Sr. Marketing Database Manager (AdCo) in New York, New York | DiversityInc Careers
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Advertising & Analytics - Sr. Marketing Database Manager (AdCo)

AT&T AdWorks is a leader in audience targeted advertising. We enable advertisers to reach and engage a target audience while measuring response to their ads across screens. We combine unparalleled scale in addressable TV advertising with the ability to reach those same audiences across premium mobile and online video inventory. The AT&T AdWorks product suite includes:  Addressable TV Advertising, TV Blueprint, AddressablePlusSM, Interactive TV and Premium Digital Video Advertising (including Otter Media properties).As a Senior Marketing Database Manager, the successful candidate will:
  • Work on a variety of cross-channel marketing analytics projects to improve customer targeting and marketing efficiencies with increasing ROI
  • Analyze customer behavior and product subscription, as well as utilizing third party data and be responsible for creating campaign targets and assigning them with the most efficient AD channels
  • Provide closed loop campaign reports or help 3rd party vendors acting as safe heaven, to provide the campaign reports and insights, making recommendations for future campaign strategies
  • Test and validate raw data, analytics method, statistical models and target lists, ensuring accuracy and clean to serve into campaign, working closely with  3rd party data vendor, IT, and big data team
  • Produce meaningful KPI dashboards
  • Supervisory:  No.

  • Degree educated in a quantitative or numerate discipline such as Math, Stats, Economics, Computer Science, or similar disciplines
  • Minimum 4 to 5 years of experience in BI, Business Analytics or Data Science
  • Excellent knowledge of SQL, Excel and SAS, R or equivalent statistical or machine learning language
  • Experience using Tableau, Cognos or other OLAP cube/data visualization and reporting package
  • Working knowledge of statistics, predictive modeling, and machine learning
  • Must have worked in big data environment and have ability to deliver insights and recommendations to non-technical audiences