About this role
About The Role
My client is seeking a Senior Data Analyst to help define and measure the success of their enterprise data products. This role will develop analytical products and measurement frameworks spanning audience intelligence, identity resolution, content performance, AI content consumption, and data product adoption. Working closely with Product, Engineering, and business stakeholders, this individual will transform complex data into scalable insights that drive strategic decision making across Hearst Consumer Media. This role will play a key part in measuring how their content is discovered, consumed, and utilized across emerging AI ecosystems, including large language models (LLMs), retrieval-augmented generation (RAG), AI search, and content licensing initiatives.
This hybrid role is based in New York City and will report into the VP of Audience Analytics.
Key Responsibilities
- Develop scalable audience insights across brands, platforms, and distribution channels using first-party identity, behavioral, and contextual data.
- Analyze audience composition, engagement, overlap, and growth opportunities to support personalization, advertising, subscriptions, and content strategy.
- Build reusable audience measurement products that enable self-service analytics across the enterprise.
- Design measurement frameworks to understand how Hearst content is utilized across AI platforms, including LLM training partnerships, retrieval-augmented generation (RAG), AI-powered search experiences, and emerging content licensing models.