Commerce Data Analyst

The New York Post delivers the best in News, Sports, Entertainment and Pop Culture with wit, irreverence, and authority. Over the past 224 years, The Post has evolved into a multi-platform media company spanning print, digital, video, audio, app, television and commerce.

New York Post Data Labs is seeking a highly analytical and detail-oriented Commerce Data Analyst to join our Data Science and Analytics team. In this role, you will be the dedicated analytics partner for the New York Post Commerce department. You will be responsible for providing insights that drive business growth by analyzing performance metrics, identifying trends, and optimizing our Commerce strategies.

This is a crucial position for someone who is passionate about data and its power to inform strategic business decisions in a fast-paced Media & Commerce environment.

• Performance Monitoring:
  Track and analyze key performance indicators (KPIs) for all affiliate marketing campaigns, including clicks, conversions, commission, and return on investment (ROI).
• Data Reporting:
  Develop and maintain recurring reports and dashboards using business intelligence tools to provide clear visibility into performance for stakeholders.
• Strategic Insights:
  Proactively identify trends, anomalies, and opportunities in data to provide actionable recommendations for improving affiliate program efficiency and profitability.
• Forecasting & Modeling:
  Assist in building and maintaining models and forecasts to project future performance needs.
• A/B Testing & Optimization:
  Design, execute, and analyze A/B tests to optimize landing pages, offers, and partner performance.
• Cross-Functional Collaboration:
  
  Work closely with the leaders on the Commerce Team to understand their business needs, translate them into data requirements, and present findings in an understandable way.
• Data Integrity:
  Ensure the accuracy and reliability of all data sources, reporting, and analysis.

• Bachelor’s degree in a quantitative field such as Business, Economics, Statistics, or Computer Science.
• 2+ years of professional experience in a data analysis role, preferably within commerce, digital marketing, or affiliate marketing.
• Strong proficiency in Python, Cloud Architecture, SQL for data extraction, manipulation, and analysis.
• Experience with a business intelligence platform (e.g., Tableau, Power BI, Looker).
• Demonstrated ability to perform in-depth analysis, draw conclusions, and present findings clearly to both technical and non-technical audiences.
• Experience with statistical analysis and data visualization.

• Experience with languages like Python & SQL for data manipulation and statistical analysis.
• Familiarity with affiliate tracking & Commerce business model, platforms and tools.
• Proven experience working with large, complex datasets.

• Analytical Thinking:
  You’re a problem-solver who can turn raw data into a compelling story.
• Communication
  
  Skills:
  
  You can clearly and concisely explain complex data concepts to a variety of audiences.
• Attention to Detail:
  You have an eye for precision and are committed to data accuracy.
• Collaboration:
  
  You’re a team player who can build strong relationships with stakeholders.
• Proactive & Curious:
  You love to dig into data and are always looking for ways to improve performance.

_

Note:

This role follows a hybrid work model, with an expectation of being on-site in the New York metro area three days per week. At this time, we are only able to consider candidates who are authorized to work in the U.S.; visa sponsorship is not available for this role._

Include The New York Post () : expert news, extensive, award-winning sports coverage, and insider commentary, Page Six () : an influential leader in celebrity and entertainment news,  : helping the on-demand generation discover the best streaming content, and Alexa () : our luxury lifestyle print edition focused on the best in luxury fashion, real estate and travel.

People love us. We are one of the largest growing digital networks, averaging over 90 million unique visitors a month! Our social footprint continues to expand across…