Business Intelligence Analyst

This is a Full Time Job

Be Part of What's Next
At Hearst Magazines, data powers the stories we tell, the audiences we grow, and the partnerships that fuel our business. As an Analyst, Business Intelligence , you'll turn complex datasets into clear, actionable insights-helping teams across Partnerships, Business Development, Product, and Editorial make smarter decisions and move faster.

Key Responsibilities (What You're Doing)
• Partner with the Partnerships & Business Development team to translate business questions into structured requirements, metrics, and reporting frameworks
• Extract and combine data from APIs (e.g., distribution partners, syndication platforms, commerce partners) to create unified performance views
• Analyze large audience, revenue, and content-level datasets to identify trends and deliver insights that inform partnership strategy and prioritization
• Conduct ad hoc exploratory analyses tied to partner performance, KPI variance, forecasting, and opportunity sizing
• Build and maintain dashboards, scorecards, and recurring reporting in DOMO, Looker Studio, or similar BI tools
• Define, document, and maintain KPIs that support partnership health, deal evaluation, and revenue tracking
• Present insights clearly and succinctly to non-technical stakeholders, including senior leaders across BI, Partnerships, BD, Product, and Editorial
• Monitor and help ensure the quality and consistency of data used in reports and dashboards, contributing to broader BI data governance efforts

Qualifications (What We're Looking For)
• Bachelor's degree in a relevant field such as Statistics, Computer Science, or Data Science.
• 2 years of experience in a similar role, preferably in the media or publishing industry.
• Proficiency in Google Analytics or equivalent enterprise applications.
• Experience working with content, audience or digital partnership data a plus
• Familiarity with Python or R for automation, API integration, and data analysis
• Excellent analytical and problem-solving abilities, with a keen eye for detail.
• Experience working with large datasets and data visualization tools.
• Strong communication and collaboration skills, with the ability to work effectively in a team.
• Ability to prioritize tasks and manage multiple projects simultaneously.
• Familiarity with data warehousing and database management systems.
• Passion for data-driven decision-making and a desire to stay updated with industry advancements.
• Hybrid work environment in New York City (in-office requirements aligned to team expectations)