Senior Data Analyst, AI-driven Audience Insights

Hearst Magazines; New York (NY); Hybrid; USD 126,000 - 140,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Disability insurance

Life insurance

401(k)

Paid holidays

Paid time off

Employee assistance programs

Job summary

Hearst Magazines is seeking a Senior Data Analyst to define and measure enterprise data products across audience intelligence, identity resolution, content performance, AI content consumption, and data product adoption.

You will build scalable analytics, dashboards, and measurement frameworks supporting Hearst Consumer Media while collaborating with product, engineering, and business stakeholders in NYC. Hybrid role with a strong focus on data-driven decision making and storytelling.

Qualifications

• Bachelor's degree in a relevant field.
• 5-8 years of experience in data roles including BI, analytics, data science and/or data engineering.
• Experience defining business KPIs and measurement frameworks for digital products, audiences, and AI-driven experiences.
• Expert-level proficiency in SQL, with extensive experience in data mining and working with large-scale data warehouses (e.g., Redshift, BigQuery).
• Advanced skills in creating reports and dashboards with BI tools (e.g., Looker, Tableau) and translating insights into actionable recommendations.
• Experience with digital publishing, audience measurement, first-party data, identity resolution, content metadata, SEO, AI search, or digital advertising ecosystems is strongly preferred.
• Strong critical thinking, problem-solving, and storytelling abilities, with excellent writing, communication, and presentation skills.
• Familiarity with the digital media and publishing landscape, including media research tools (e.g., Nielsen, Comscore) and knowledge of the CTV/digital advertising ecosystem.

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.
• Develop dashboards and analytical products that quantify AI-driven content discovery, attribution, engagement, and business impact.
• Lead the development and execution of data analyses across a diverse range of domains, from digital product performance, to understanding advertising effectiveness across media channels. Utilize data visualizations and presentations to effectively communicate these findings and the team's business impact to a diverse set of technical and executive stakeholders.
• Develop, build, and maintain reports and dashboards to measure key performance indicators related to identity resolution efforts. Conduct detailed audience segmentation and analysis to inform targeting strategies and content optimization.
• Act as a trusted advisor, cultivating and strengthening relationships with data, product, and engineering leads across Hearst Consumer Media

Skills

SQL

BigQuery

Looker

Tableau

Data mining

Data warehouses

BI tools

Audience measurement

Identity resolution

AI data workflows

Education

Bachelor's degree

Tools

Nielsen

Comscore

Job description

Hearst Magazines is seeking a Senior Data Analyst to define and measure enterprise data products across audience intelligence, identity resolution, content performance, AI content consumption, and data product adoption.

You will build scalable analytics, dashboards, and measurement frameworks supporting Hearst Consumer Media while collaborating with product, engineering, and business stakeholders in NYC. Hybrid role with a strong focus on data-driven decision making and storytelling.