Data Analyst, Editorial

Overview

The New York Post Media Group is seeking a dynamic Data Analyst to join our innovative Data Science and Analytics Department. This role is perfect for a data professional who is passionate about media and wants to shape the future of content and news through data-driven insights. You will work directly with our editorial team and editorial staff to analyze reader behavior, content performance, and market trends, translating complex data into actionable recommendations that guide our daily editorial decisions and long-term strategic direction.

• Editorial Analytics & Content Strategy
  • Analyze website traffic, reader engagement, and content performance metrics to identify trending topics and reader preferences
  • Track article performance across different platforms (website, social media, newsletters) and provide insights on optimal publishing strategies
  • Monitor competitor content and market trends to identify coverage opportunities and content gaps
  • Assist the Data Science team in developing predictive models to forecast article performance and reader interest in emerging topics
  • Create self-serve dashboards for editorial staff to track story performance and audience engagement
• Audience Development & Engagement
  • Guide the activation of segmentation and analyze reader behavior patterns, and subscription conversion metrics
  • Identify opportunities to grow and retain readership through data-driven content recommendations
  • Analyze social media engagement and viral content patterns to optimize distribution strategies
  • Track subscriber acquisition, retention, and churn rates to inform content and marketing strategies
  • Develop A/B testing frameworks for headlines, article formats, and publishing schedules
• Business Intelligence & Revenue Analytics
  • Analyze subscription patterns, advertising performance, and revenue metrics
  • Track the effectiveness of paywall strategies and membership conversion rates
  • Monitor email newsletter performance and reader engagement across different content formats
  • Provide insights on content monetization opportunities and reader willingness to pay
  • Support business development with market analysis and competitive intelligence

• Education & Experience
  • Bachelor's degree in Economics, Statistics, Data Science, Computer Science or related field
  • 2+ years of experience in data analysis, preferably in media, publishing, or digital media
  • Experience working in fast-paced, deadline-driven environments
  • Demonstrated ability to work collaboratively with editorial and content teams
• Technical Skills
  • Advanced proficiency in SQL and Statistical analysis
  • Expert-level skills in data visualization tools (Tableau, Power BI, or similar)
  • Strong programming skills in Python
  • Experience with web analytics platforms (Google Analytics, Adobe Analytics)
  • Familiarity with Cloud Computing Environments like AWS, GCP, Azure
  • Knowledge of A/B testing methodologies and statistical significance
• Communication & Editorial Skills
  • Exceptional ability to translate complex data findings into clear, actionable recommendations
  • Strong presentation skills with experience presenting to senior leadership and editorial teams
  • Understanding of digital media and content creation / publishing workflows
  • Ability to work under tight deadlines and adapt to breaking news situations
  • Experience facilitating data-driven discussions and guiding strategic decision-making
• Preferred Qualifications
  • Previous experience in media, journalism, or publishing industry
  • Background in digital marketing or audience development
  • Knowledge of subscription business models and reader revenue strategies
  • Experience with machine learning techniques for content recommendation systems
  • Familiarity with email marketing platforms and newsletter analytics
  • Understanding of SEO principles and search trend analysis

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…