Senior Content Data Analyst

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.