Director of Analytics

The New York Post provides readers with the best in News, Sports, Pop Culture, Fashion and Entertainment – with signature wit, irreverence and authority averaging 90 million unique viewers a month. Over the past 223 years, The Post has evolved into a multi-platform media company spanning print, digital, video, audio, app, television and commerce.

We are currently seeking a Director of Analytics to join our Data Science & Analytics team.

Responsibilities:

• Oversee the analytics workstreams, guiding the strategy and execution of data-driven decision-making processes.
• Direct teams focused on delivering analytics and insights that drive the editorial and commercial success of The New York Post.
• Champion the development and integration of advanced analytics models to enhance media performance and audience engagement.
• Lead the analysis of campaign performance across various platforms to optimize strategies and increase viewer engagement.
• Collaborate with Data Engineering and Data Science teams to integrate and leverage data from marketing clean rooms.
• Partner with senior management to refine media strategies based on data insights.
• Provide comprehensive analytics support to both the editorial and business units, influencing decision-making across the organization.
• Develop and maintain automated reporting systems and dashboards to ensure stakeholders have timely and accurate access to key metrics and insights.
• Assist in developing best practices for sports analytics.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Economics/Statistics, Engineering or a related field preferred
• 6 to 10 years of relevant experience in the media, entertainment, or sports industry
• Extensive experience with BI Tools such as Looker, Power BI, Tableau
• Proven track record of driving projects to success in the field of Digital media, Direct-to-Consumer (DTC) and or Marketing analytics with a focus on Sports and digital media industries
• Proficiency in languages such as SQL, Python, and manipulation tools for handling large data sets
• Strong familiarity with Cloud data architectures such as Lake house, Data Marts, Data Warehousing, Multi-Cloud, Real-time streaming.
• Expertise in Media measurement methods and technologies, including experimental techniques and Media Mix Modeling (MMM)
• Strong capability in campaign management, data extraction, and media optimization
• Ability to apply advanced data science/research techniques and tools
• Expertise in translating complex data tasks into actionable business solutions
• Advanced understanding of media metrics and mathematical applications in analytics
• Proficient in analyzing large data sets to discern patterns and derive key insights

Note: The New York Post adheres to a hybrid work model.

Salary Range: $140K - $150K

At The New York Post we recognize that attracting the best talent is key to our strategy and success as a company. As a result, our ranges reflect our good faith estimate to pay fairly as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate’s experience, industry knowledge, technical and communication skills, and other factors that may prove relevant during the interview process.

In addition to compensation, the company provides eligible employees a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including “elective” benefits employees may select to best fit the needs and personal situations of our diverse workforce.

As an equal opportunity employer, the New York Post does not discriminate in hiring or the terms and conditions of employment because of an individual’s race, color, religion, national origin, age, disability, gender, sexual orientation, citizenship or any other characteristic protected by federal, state or local law. The New York Post will consider the provision of reasonable accommodations to known physical or mental disabilities of otherwise qualified applicants to enable them to participate in our application process and to effectively perform the essential functions of the job, unless doing so would impose an undue financial or operational hardship. ​