The New York Post Media Group is seeking a dynamic Data Analyst to join our innovative Data Science and Analytics Department to analyze reader behavior, content performance, and market trends, and provide data-driven insights to guide editorial decisions and strategic direction.
Requirements
- 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
- Experience with machine learning techniques for content recommendation systems
Responsibilities
- 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
- Guide the activation of segmentation and analyze reader behavior patterns, and subscription conversion metrics
- Develop A/B testing frameworks for headlines, article formats, and publishing schedules
Other
- 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
- Exceptional ability to translate complex data findings into clear, actionable recommendations
- Strong presentation skills with experience presenting to senior leadership and editorial teams
- Ability to work under tight deadlines and adapt to breaking news situations