Director of Data & Analytics

New York Post • New York, NY

21h • $165,000 - $185,000 • Hybrid

About The Position

The New York Post is seeking an experienced, highly hands-on Director of Data & Analytics to join their Data Science & Analytics team. This is a high-impact leadership role responsible for turning data into actionable insights that shape how The New York Post operates, grows its audience, and drives commercial performance. The ideal candidate is both a strategic leader and a hands-on analytics expert, capable of setting direction, leading a team, and also digging into data, building analyses, and delivering answers. The role involves working closely with leaders and stakeholders across Editorial, Commercial, Product, Marketing, Affiliate/E-Commerce, Data Engineering, and Product to help teams understand data and make informed decisions. This opportunity is for someone who thrives in a fast-moving media environment with evolving priorities, where delivering high-quality insights on a tight timeline is critical. The position requires comfort with urgency and quick turnaround while maintaining analytical rigor, navigating ambiguity, and seeing changing priorities as opportunities. The core mission is to use data to help people across the organization make smarter, faster, more informed decisions.

Requirements

• Bachelor's degree in Computer Science, Data Science, Economics, Statistics, Engineering, or a related quantitative field preferred.
• 6–10+ years of progressive experience in data, analytics, business intelligence, or a related discipline, preferably within media, entertainment, sports, digital publishing, advertising, or another fast-paced consumer business.
• Previous experience leading and developing a team of analysts, with the ability to balance people leadership with hands-on individual contribution; You should be equally comfortable presenting insights to senior leadership, partnering with an editor on an urgent newsroom question, coaching an analyst through a complex project, or opening up SQL and figuring out the answer yourself.
• Strong track record of partnering with senior stakeholders across multiple functions and using data to influence business decisions.
• Demonstrated experience supporting both commercial/business and editorial or content-oriented stakeholders is strongly preferred.
• Extensive experience with BI and visualization tools such as Looker, Power BI, or Tableau.
• Advanced proficiency in SQL and experience working with Python and large, complex datasets.
• Proven ability to independently scope, execute, and communicate complex analytical projects from start to finish.
• Experience driving data and analytics initiatives within digital media, direct-to-consumer, marketing, advertising, sports, or other high-volume digital environments.
• Strong understanding of modern cloud data architectures, including data warehouses, data marts, lakehouse environments, multi-cloud architectures, real-time data, and data productization.
• Expertise in media measurement methodologies and technologies, including experimentation, attribution, and Media Mix Modeling (MMM).
• Strong understanding of campaign analytics, audience measurement, data extraction, media optimization, and performance reporting.
• Experience applying advanced analytical and research techniques to solve complex business problems.
• Ability to translate complex technical or analytical concepts into clear, actionable business recommendations.
• Advanced understanding of media, audience, engagement, and commercial metrics and their application to business decision-making.
• Demonstrated ability to identify meaningful patterns and insights within large datasets and communicate those findings effectively.
• Exceptional problem-solving skills, intellectual curiosity, and attention to detail.
• Ability to thrive in a highly collaborative, fast-moving, and sometimes ambiguous environment where priorities and business needs can change quickly.
• Strong project management and prioritization skills, with the ability to manage multiple stakeholders and deliver against tight deadlines.
• A roll-up-your-sleeves mentality — you are comfortable getting into the data yourself, challenging assumptions, troubleshooting an analysis, and doing the work when needed.
• Excellent written and verbal communication skills, with the ability to communicate effectively with everyone from data scientists and engineers to newsroom editors and commercial executives.

Responsibilities

• Lead and develop a high-performing analytics team, managing a team of 3+ Data/Business Analysts and providing mentorship, prioritization, coaching, and professional development.
• Establish the strategy, priorities, and operating model for analytics across the organization, ensuring the team is focused on the highest-impact business and editorial opportunities.
• Serve as a trusted data and analytics partner to senior stakeholders across Editorial and Commercial, translating business questions into clear analytical approaches and actionable recommendations.
• Partner closely with newsroom leadership and editorial teams to develop insights that support audience growth, content strategy, engagement, performance, and decision-making.
• Work with Commercial, Advertising, Marketing, and other business teams to analyze campaign performance, audience behavior, revenue opportunities, and media performance.
• Act as a hands-on analytics leader who can independently investigate complex questions, work directly with large datasets, build analyses, and deliver insights — not simply manage work from above.
• Develop and maintain automated reporting, dashboards, and data products that give stakeholders timely, reliable visibility into the metrics that matter most.
• Champion a data-driven culture by helping stakeholders understand not only what is happening in the business, but why it is happening and what actions the data supports.
• Lead the development and integration of advanced analytics models and methodologies to improve media performance, audience engagement, campaign effectiveness, and business outcomes.
• Analyze campaign and media performance across platforms and channels, identifying trends, opportunities, and areas for optimization.
• Partner with Data Engineering and Data Science teams to integrate, structure, and leverage data from marketing clean rooms and other internal and external data sources.
• Collaborate with Product, Technology, and Data teams to improve data accessibility, quality, and usability and to identify opportunities to build scalable data products.
• Partner with senior management to develop and refine business and media strategies based on data-driven insights.
• Help establish analytics best practices, standards, and methodologies across the organization, including approaches to measurement, experimentation, attribution, and media effectiveness.
• Support the development of sports analytics capabilities and identify new opportunities to leverage data across The Post's sports business and editorial operations.
• Translate complex analytical findings into clear, compelling narratives that can be understood and acted upon by both technical and non-technical audiences.
• Operate effectively in an ambiguous, fast-paced environment, where priorities can shift quickly and new analytical questions emerge regularly.
• Balance longer-term strategic initiatives with urgent, high-priority requests, maintaining quality and accuracy while delivering against tight newsroom and business timelines.
• Identify opportunities to proactively use data to answer questions stakeholders may not yet be asking and surface insights that can create meaningful business impact.

Benefits

• Comprehensive and competitive benefits package covering health, retirement, wellbeing, and more
• Optional benefits to meet the diverse needs of our employees
• Annual Bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Director