Staff Data Analyst, Audience Analytics & Insights - Cnn Digital Products & Services

Warner Bros Discovery Warner Bros Discovery · Media · New York, NY +3 · Data & Research

This role focuses on audience analytics and insights for CNN Digital Products & Services, aiming to understand audience engagement and growth drivers across various platforms. The analyst will lead ongoing analysis, partner with editorial, product, and marketing teams, and serve as a technical mentor and QA lead for the analyst team. Key responsibilities include analyzing web/app traffic, competitive landscape, and developing reporting frameworks to monitor audience growth and segmentation. The role requires strong SQL, digital analytics tools, and data visualization skills, with an emphasis on translating data into strategic recommendations for audience development.

What you'd actually do

  1. Lead ongoing analysis to identify opportunities for audience growth, including through search, generative AI platforms, social platforms, newsletters, and more.
  2. Partner with editorial, product, and marketing teams to translate audience analytics and insights into strategic recommendations.
  3. Regularly assess the impact of audience development initiatives.
  4. Serve as technical mentor and QA lead for the analyst team on web/app traffic trends, reviewing analytical methodologies, SQL queries, and dashboards to ensure accuracy and consistency.
  5. Develop and maintain a regular practice of landscape and competitive analytics that helps inform deliverables like benchmarking and forecasting to inform strategic planning and growth targets.

Skills

Required

  • 5+ years in digital analytics, audience insights, or audience development strategy.
  • Strong command of SQL, experience with large datasets and ability to collaborate with data engineers to design and validate data pipelines.
  • Experience with SEO tools (e.g., Google Search Console, SEMrush, Ahrefs) and social analytics aggregation or owned platforms.
  • Proven ability to evaluate experimental results.
  • Proven ability to identify and estimate the potential drivers of audience growth.
  • Proficiency in data visualization tools (e.g., Tableau, Looker, Power BI).
  • Proficiency in digital analytics tools (e.g., Adobe Analytics, Google Analytics, Chartbeat, Parse.ly).
  • Proven ability to develop and lead QA processes.
  • Excellent communication skills and stakeholder management experience.

Nice to have

  • Experience with dbt is a plus but not required.