Senior Content Data Analyst

Job Description

Position Overview:
The Senior Content Data Analyst leads advanced data analysis efforts to provide actionable insights that enhance content quality and performance. Collaborating closely with cross-functional teams, including Product and Content teams, this role involves transforming complex data into strategic decisions, ensuring alignment with organizational goals and optimizing content strategies through a data-driven approach.

Key Responsibilities:

• Collect, analyze, and interpret data related to content performance and quality metrics, providing actionable insights to enhance strategies.
• Design and implement regular reporting processes to track key performance indicators (KPIs) such as Conversion Rates (CR), Click-Through Rates (CTR), and content engagement levels.
• Develop data models and frameworks to assess content quality trends across product categories and identify areas for improvement.
• Collaborate to optimize data pipelines and streamline data extraction processes.
• Conduct in-depth analyses of content enrichment initiatives to measure their impact and recommend optimization opportunities.
• Monitor platform-wide trends, including seasonal and category-specific patterns, to guide content production and optimization priorities.
• Propose and validate advanced analytical methods to ensure the reliability of findings and actionable insights.
• Proactively identify new data sources and tools to improve analysis accuracy and depth.
• Act as a liaison between product and content teams, ensuring alignment between insights and actionable strategies.
• Provide a coherent and clear narrative structure for presenting data insights, ensuring stakeholders understand the "why" behind decisions.
• Facilitate discussions with stakeholders to align on priorities and mitigate execution risks through clear communication and transparent timelines.
• Conduct and oversee deep-diving data analysis for business insights and recommendations.
• Develop clear and compelling data visualizations to communicate findings to stakeholders.
• Automate repetitive analytical workflows and reporting pipelines to enhance efficiency and scalability.
• Explore and prototype AI automation opportunities across business functions
• Continuously research and adopt new technologies and frameworks in the automation and AI space to improve the efficiency and impact of analytics processes 

Qualifications:

• Strong analytical skills and proficiency in data analysis tools such as Excel, SQL, Tableau, or Power BI.
• Experience in creating detailed reports and dashboards to visualize data effectively.
• Proven ability to translate complex data into clear, actionable recommendations.
• Familiarity with content performance metrics, user engagement analytics, and e-commerce trends.
• Ability to articulate the rationale behind analyses and respond to related questions from stakeholders.
• Proficiency in hypothesis testing and the use of statistical methods to validate findings.
• Capability to independently gather data from various sources, ensuring accuracy and addressing discrepancies effectively.
• Strong communication skills for presenting insights to stakeholders and collaborating across teams.
• Proficiency in statistical analysis and A/B testing methodologies.
• Solid knowledge of mathematics and statistics applied to data analysis and decision-making.