M+E Technology Job Board

Consumer Analytics Manager

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Disney ABC Television Group

Are you looking for a high impact position that will leverage your analytical, business and technical BI skills? Do you enjoy playing with data, working with complex data sets and conducting deep dive analysis to expand understanding of business performance? If you excel at delivering and communicating robust data analysis, and want to influence the future of television at DATG, then this position is for you.

Disney | ABC Television Group is seeking a Consumer Analytics Manager (Manager Engagement Insights & Analytics) to join our Consumer Data & Analytics team. The Manager’s primary role is to develop a rich understanding of how consumers interact with our brands, and deliver consumable insights to DATG to increase consumer engagement and serve our consumers better than ever. The ideal candidate will have strong experience in mathematics & statistical techniques used for analyzing data, plus a deep understanding of consumer behaviors related to marketing, digital experiences, and relationship management.

Responsibilities

  • Deliver and manage data driven insights by effectively communicating the “so what” from the data to the business to leverage as a strategic business asset and driver of incremental revenue opportunities
  • Develop and quantify KPIs to measure viewer satisfaction, relationships, loyalty, and advocacy
  • Measure and quantify fan journeys and map against DATG experiences & touch points
  • Conduct exploratory data mining and analysis to understand customer engagement and retention and develop tools supporting the deployment and usage to identify trends and insights in audience data to improve engagement
  • Continuously drive toward reporting improvement and efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining metrics, and building new reports (developing framework and identifying data sources) as needed to support decision-making
  • Propose and leverage new sources of data for acquisition, from both internal consumer touch points and external third party data partnerships
  • Ability to develop effective relationships with business partners and peers– including marketing, ad sales, digital and programming teams – to understand core business issues and to communicate actionable, impactful insights
  • Assure quality and accuracy of deliverables through thorough interaction with end users to understand and refine requirements and adherence to governance standards and practices

Basic Qualifications

  • 4+ years of experience working in marketing, digital experiences, or other consumer-focused roles
  • 6+ years of experience working in role focused on consumer analytics
  • 6+ years experience with complex, large-scale relational databases, statistical programs and other tools (SQL, SAS, R, etc.) with an aptitude to learn other technical applications quickly to compile and interpret quantitative data. Proven track record of extracting accurate conclusions and identifying trends from quantitative information.
  • Ability to visualize and communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Proficient knowledge of reporting and visualization systems such as Tableau
  • Passion for empirical research, experimentation, and answering hard questions with data
  • Experience solving analytical problems using a combination of scientific approaches from the fields of mathematics, statistics, and operation research

Preferred Qualifications

  • Experience working with marketing and response data from various media channels, including television, social media, online video, search, email, mobile, and SMS
  • Experience working with digital and mobile environment data, including online behavior tracking, video players, apps, cookies, and device IDs
  • Experience working with ad sales data for the media/publishing industry, including rate card, GRPs, Nielsen ratings, and inventory forecasts

Required Education

  • Degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree