Sr Dir, Content Analytics - CNN Digital Product and Services

Warner Bros. Discovery•New York, NY

23d

About The Position

CNN is seeking a Senior Director of Content Analytics who will be instrumental in leading and fostering a culture of data-informed decision-making. This individual should be self-motivated, work well independently and as part of a team, and be passionate about what they do. The role will be responsible for leading a team of data analysts and data scientists who analyze audience and engagement trends through behavioral, quantitative and qualitative data to guide product and editorial decision-making across a variety of platforms. The Senior Director will report to the VP of Audience and Engagement Analytics.

Requirements

10+ years of experience in data/analytics or related field
3+ years of experience managing and building an analytics team
Experience with BI tools (e.g. Looker, Domo, Tableau, etc.)
Significant experience using SQL to explore and analyze large data sets in cloud environments
Experience with providing data requirements while working with structured and unstructured data sets
Experience with digital news, streaming content or relevant digital analytics experience plus strong interest in news
Ability to attract, retain, and develop data talent through caring leadership and an inclusive mindset
Collaborative approach to partnership
Comfortable communicating with a diverse set of backgrounds, seniority levels, and knowledge sets, particularly in translating complex data concepts to strategic recommendations
Logical mindset capable of making appropriate trade-offs between speed and analytical depth without sacrificing quality
A self-starter who is passionate about getting data, using data, making sense of data, and helping others benefit from making analytics driven decisions

Nice To Haves

BA/BS degree or higher in Math/Stats, Operations Research, Computer Science, Engineering, or other related quantitative field
Industry knowledge of digital streaming services and how to approach them with an analytical lens strongly preferred
Experience working with editorial teams
Strong background in experimentation and statistics
Experience with writing Python and R scripts

Responsibilities

Develop comprehensive methodologies to assess performance of individual pieces of content compared to expectations
Deeply understand, measure, and explain the news cycle, providing assessments of content and overall digital performance relative the news cycle of the day
Support the growth and deepening of audience engagement for content delivered via streaming products and produce best-in-class insights with tangible opportunities for editorial teams to act on
Inform long-term content strategy through deep analytics and modeling synthesized with research
Drive the development self-serve tools for the newsroom to be able to quickly understand performance and inform real-time decisions for coverage and content promotion
Co-lead the conversation on digital performance in daily news meetings with editorial partners
Partner with audience and engagement analytic teams to evaluate how content drives overall reach and deepens engagement
Develop and lead a team of data analysts who partner with product and editorial teams
Execute on the analytic strategy of content groups within CNN, building programs to deliver data analysis, experimentation, and survey-based research in support of product and editorial decisions
Evaluate existing and develop new metrics, reports, and dashboards for internal audiences; create consistent and documented data definitions for key content metrics
Apply both quantitative disciplines and creativity to translate data into actionable insights through data visualization
Define and validate data by working with business partners to ensure data quality and alignment with company-wide data logic/naming conventions
Work with internal or external data partners to process, organize, and connect various data sources, including content metadata, behavioral user data, and third-party audience and customer satisfaction data.