Job Summary:

Disney Media & Entertainment Distribution is seeking a Manager Content Analytics to join our Data & Decision Science organization. The Manager’s primary role is to lead and develop a high performing team that is focused on serving our business stakeholders to change the business through creating new capabilities and enterprise-level cross-segment projects. The Manager is also expected to develop a rich understanding of how consumers interact with our brands, and deliver new capabilities to Disney Media & Entertainment Distribution and Disney General Entertainment to increase consumer engagement and serve our consumers better than ever. The ideal candidate will have strong experience in mathematics & statistical techniques across varied fields and industries, plus a deep understanding of consumer behaviors related to marketing, content development, and digital experiences.

Responsibilities:

• Provide strong thought leadership, mentorship, and support of team members and business partners.
• Deliver and manage data driven business changing capabilities that businesses and other Analytics & Data Science teams can leverage as a strategic capability and driver of incremental revenue opportunities across Linear Networks, Ad Sales, Streaming, and Studios.
• Develop and quantify KPIs to measure viewer content quality, engagement, and marketing effectiveness.
• Measure and quantify fan journeys and map against Disney Media & Entertainment Distribution and Disney General Entertainment experiences and touch points.
• Conduct exploratory data mining and analysis to understand customer engagement and retention to identify trends and insights in audience data to improve engagement.
• Continuously drive toward efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining metrics, and building new reports as needed to support decision-making.
• Ability to develop effective relationships with business partners and peers– including other analytics & data science teams, marketing, creative, ad sales, digital and programming teams – to understand core business issues and to communicate actionable, impactful insights across Linear Networks, Ad Sales, Streaming, and Studios.
• Assure quality and accuracy of deliverables through thorough interaction with business partners to understand and refine requirements and adherence to privacy, governance standards, and quantitative practices.

Basic Qualifications:

• 3+ years of experience leading teams or mentoring teammates.
• 3+ years of business facing experience that includes building relationships with new business partners, project request intake, and presentations. Experience delivering executive level presentations is preferred.
• 5+ years of experience working in marketing, digital experiences, or other consumer-focused roles focused on consumer driven analytics including building out consumer based models.
• 4+ years of experience building and applying predictive models for causal inference, attribution, forecasting, segmentation, or optimization.
• 4+ years of experience with complex, Big Data databases (Hadoop, Snowflake, BigQuery, Redshift, etc.), statistical programs and other tools (Spark, Python, 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.
• Experience participating in and successfully delivering large scale, multi-month, enterprise initiatives.
• Proficient knowledge and experience in visualizing and communicating complex quantitative analysis in a clear, precise, and actionable manner.
• Experience solving difficult and unclear 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 structure and unstructured data
• Experience working with video stream, linear viewership data, and digital data.
• 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.

About Disney Streaming:

Comprised of the Company’s international business units and various direct-to-consumer streaming services, Disney Media & Entertainment Distribution (DMED) aligns technology, media distribution and advertising sales into a single business segment to create and deliver personalized entertainment experiences to consumers around the world.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with ABC, Inc., which is part of a business segment we call Disney Streaming.

ABC, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.