Warner Bros. Discovery
10,000+ employees
📱 Media
📡 Telecommunications
Media • Entertainment • Telecommunications
Warner Bros. Discovery is a global media and entertainment company known for producing and distributing films, television shows, and other content across various platforms. It operates various well-known brands and franchises, offering a broad range of entertainment to audiences around the world.
Advanced Analytics Lead
🕒 May 6
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Warner Bros. Discovery
10,000+ employees
📱 Media
📡 Telecommunications
Media • Entertainment • Telecommunications
Warner Bros. Discovery is a global media and entertainment company known for producing and distributing films, television shows, and other content across various platforms. It operates various well-known brands and franchises, offering a broad range of entertainment to audiences around the world.
📋 Description
• Own the end ‑ to ‑ end analytical approach for a flagship perception and influence measurement solution, from model design through to delivery. • Design, run and evolve regression, multivariate and factor ‑ based models to identify and quantify the drivers of perception and influence. • Partner closely with commercial, insight and product teams to shape analytical approaches that address real business questions. • Support sales and account teams by clearly articulating what the analytics can (and cannot) demonstrate. • Provide technical leadership and mentoring to analysts working on perception and influence analytics. • Raise overall analytical capability through coaching on statistical thinking, modelling techniques and interpretation. • Contribute to hiring, onboarding and skills development within the analytics function as required.
🎯 Requirements
• Strong experience in advanced analytics, statistical modelling or quantitative research roles. • Deep, hands-on expertise in regression analysis and multivariate statistical techniques. • Strong working knowledge of R and/or Python for statistical analysis. • Experience working with survey, perception, attitudinal or brand-related data. • Experience in media, marketing effectiveness, brand measurement or advertising analytics. • Familiarity with index construction, weighting frameworks or composite metrics. • Experience working with large, multi-market datasets. • Exposure to experimental design or causal inference approaches.
🏖️ Benefits
• career defining opportunities • thoughtfully curated benefits • tools to explore and grow
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