Director of Content Analytics, Fandango

Versant•Universal City, CA

About The Position

Fandango Entertainment is seeking a data-driven and programming-savvy Director of Content Analytics to lead efforts in understanding how content resonates with diverse audiences across platforms. This role will focus exclusively on content performance, audience engagement, and programming strategy -- informing both product decisions and content acquisition through deep, actionable insights.

Requirements

8+ years of experience in digital analytics,
Background in streaming media for film, tv or related field.
Expertise in tools & languages such as Databricks/Snowflake, SQL, Python/R, Adobe/Google Analytics, Tableau/Looker/Domo
Experience using experimentation platforms to test programming, promotion and distribution strategies for content.
Proven leadership experience building and managing analytics teams. Ability to mentor and grow diverse teams of analysts, fostering an inclusive, collaborative culture.
Deep understanding of digital audience behavior, content consumption patterns, and media monetization models.
Strong communication skills with the ability to influence senior stakeholders and translate complex data into compelling narratives.
Experience and interest in emerging methods and technologies (e.g. AI/ML) that can be used to advance our practices around content analytics and data science.

Responsibilities

Analyze reach, engagement, and consumption patterns across content types, genres and formats.
Deliver insights on audience behavior segmented by demographics, geography, platform, and viewing context.
Identify content trends and performance drivers to inform programming strategy.
Translate complex data into clear narratives for partners.
Develop frameworks for evaluating content ROI, audience fit, and long-term engagement potential.
Support content licensing and acquisition decisions with audience intelligence.
Provide near real-time reporting to content programming teams to optimize content planning and publishing.
Enable experimentation around content programming, promotion and distribution strategies.
Ensure consistency and accuracy in content tagging and taxonomy. Drive more advanced approaches to enrich content data that might enable content analytics and/or algorithms (e.g. embeddings, auto-tagging).
Define and maintain core KPIs for content success across platforms.
Build scalable dashboards and reporting tools to democratize access to content insights.