Senior Editorial Data Analyst

Why Hearst Magazines

Hearst Magazines is one of the largest publishers in the world, with more than 25 brands, including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper’s BAZAAR, Popular Mechanics, and O the Oprah Magazine. We reach more than 150 million people every month in the United States alone. 

But we’re more than just our magazines. We engage our audience across all mediums and channels - print, digital, video, and social – with sophisticated content creation, distribution, and data capabilities.  We create, package, and sell products with cutting-edge technology and proprietary platforms. Together, we are reinventing publishing for the 21st century. 

Your Impact

We are seeking a highly motivated and detail-oriented Senior Analyst to join our Editorial Data team. In this role, you will be responsible for analyzing complex data sets, providing actionable insights, and collaborating with cross-functional teams to drive strategic decision-making. The ideal candidate will have strong analytical skills, proficiency in data analysis tools, and a passion for data-driven problem-solving.

• Develop approaches to gain a deep understanding of digital content consumption across a diverse portfolio of 15+ titles.
• Use various advanced tools and analytical practices to present detailed pictures of overall performance and user engagement across all touchpoints, empowering stakeholders to make informed decisions.
• Establish KPIs and benchmarks to identify what successful outcomes look like for our editorial team, and clearly and concisely visualize and tell stories with those metrics for leadership.
• Work with the Brand Strategy & Growth team to build, deliver, and develop automated reports that track against key audience growth, content performance goals, and core engagement metrics.
• Create, deliver, maintain executive reports across a multitude of data sets. 
• Work cross-teams to share relevant learnings, to provide support for analytical and strategic initiatives, and collaborate on projects among the larger team (Brand Strategy, General Managers, Edit, Social, SEO, Sales, Product, Engineers).
• Define and develop appropriate solutions for various data visualization and reporting needs.
• Own the monitoring and analysis of the content effectiveness and provide ad hoc insights around ongoing and future initiatives.
• Serve as a data guide and teacher, and help others make better data-driven decisions.

• Well-versed in the digital space (at least 3-5 years experience with media – publisher, client-side, or agency-side preferred)
• Experience translating data and findings into actionable recommendations.
• A self-starter with a hands-on mentality and a passion for telling visual stories with data.
• Strong knowledge of Google Analytics, Looker/Looker Studio, Domo, or other content analytics and BI tools.
• Experience with SQL and comfortable with sourcing, merging, and working with multiple, disparate data sets.
• Ability to translate sophisticated data into easy-to-digest language and effectively communicate findings to non-analytical people. 
• Familiarity with automating repetitive analyses utilizing Excel Macro Programming and R. 
• Ability to analyze, interpret, and visualize data into clean, clear, and digestible dashboards and reports.
• Organized, detail-oriented, and comfortable juggling multiple projects simultaneously.
• A lover of media with an interest in its ongoing evolution.

This role requires the position to be located in New York, NY with an in-office presence of 3 days a week.

The base salary for this role is between $85,000 to $102,000 annually. The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

#LI-AH1