Key Responsibilities
•    Lead the development and execution of complex data analyses, providing a comprehensive understanding of performance, user engagement, and business impact across all touchpoints to empower strategic decision-making.
•    Design and execute advanced data models and integrations, leveraging first-party and third-party datasets to provide meaningful insights.
•    Proactively identify opportunities to enhance business performance by analyzing key metrics and addressing areas of inefficiency and potential growth.
•    Build and maintain sophisticated reports and dashboards to measure KPIs related to identity resolution, consumer engagement, content consumption, and advertising effectiveness.
o    Manage and oversee ongoing and ad hoc query development for deeper insights into consumer behavior and business trends across linear, digital, and connected TV (CTV) platforms.
o    Conduct detailed audience segmentation and analysis to inform targeting strategies and content optimization efforts across all media channels.
o    Develop and implement methodologies to analyze cross-platform audience behaviors and measure effectiveness across linear TV, digital, and CTV ecosystems.
•    Utilize advanced data visualization tools to effectively communicate complex findings to a diverse set of stakeholders, from technical teams to executive leadership.
•    Act as a mentor to junior analysts and data professionals, fostering collaboration and elevating the analytical capabilities of the team.
•    Cultivate and strengthen relationships with data leads across Hearst Consumer Media, acting as a trusted advisor and partner in data-driven initiatives.

Qualifications
•    Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science) is required; advanced degree preferred.
•    5-8 years of experience in business intelligence, analytics, and/or data engineering, with a strong preference for media, publishing, or marketing environments.
•    Expert-level proficiency in SQL, with extensive experience in data mining and working with large-scale data warehouses (e.g., Redshift, BigQuery).
•    Proven experience in developing and implementing identity and audience measurement solutions.
•    Advanced skills in creating reports and dashboards with BI tools (e.g., Looker, Tableau) and translating insights into actionable recommendations.
•    Strong critical thinking, problem-solving, and storytelling abilities, with excellent writing, communication, and presentation skills.
•    Familiarity with media research tools and frameworks such as Nielsen, Comscore, or similar platforms, is highly desirable.
•    Experience in CTV, and digital advertising landscapes, including knowledge of programmatic ecosystems and advanced TV measurement tools
•    Demonstrated ability to manage multiple priorities, lead cross-functional initiatives, and influence stakeholders at all levels.
 

Compensation and Benefits
In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City. The reasonable estimate, if hired in New York City, is $135,000 to $145,000. Please note this information is specific to those hired in New York City. For candidates outside New York City, the salary range will be aligned with the specific location. A final decision on the successful candidate’s starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills, experience, training, certifications, and education.
Hearst provides a competitive benefits package, including medical, dental, vision, disability, and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.