The New York Post Data Labs is seeking a Commerce Data Analyst to provide insights that drive business growth by analyzing performance metrics, identifying trends, and optimizing Commerce strategies.
Requirements
- 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.
Responsibilities
- Track and analyze key performance indicators (KPIs) for all affiliate marketing campaigns, including clicks, conversions, commission, and return on investment (ROI).
- Develop and maintain recurring reports and dashboards using business intelligence tools to provide clear visibility into performance for stakeholders.
- Proactively identify trends, anomalies, and opportunities in data to provide actionable recommendations for improving affiliate program efficiency and profitability.
- Assist in building and maintaining models and forecasts to project future performance needs.
- Design, execute, and analyze A/B tests to optimize landing pages, offers, and partner performance.
- 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.
- Ensure the accuracy and reliability of all data sources, reporting, and analysis.
Other
- 2+ years of professional experience in a data analysis role, preferably within commerce, digital marketing, or affiliate marketing.
- 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.
