Scribd is hiring a
Senior Product Analyst

Summary

Join our business strategy & analytics team as a Senior Product Analyst to refine SEO strategies, measure impacts, and deliver relevant titles and user generated content to our growing global user base.

Requirements

• 3+ years of experience in product analytics, preferably in the SEO domain
• Expert knowledge of statistical concepts and methodologies, including experimental design, hypothesis testing, and regression analysis
• Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science
• Proficiency in data analysis and visualization tools such as SQL, Python, R, Looker, or similar
• Solid understanding of SEO principles, including keyword research, on-page optimization, technical SEO, and link building
• Strong business acumen and the ability to connect analytical insights to business objectives
• Excellent communication and presentation skills, with the ability to distill complex data into meaningful insights for both technical and non-technical stakeholders
• Experience working in an agile development environment and collaborating with cross-functional teams
• Strong attention to detail and a commitment to delivering high-quality, accurate analysis within tight deadlines

Responsibilities

• Collaborate with the product team to develop and execute data-driven experiments and A/B tests, focusing on SEO initiatives
• Conduct in-depth analysis of user behavior, conversion rates, and website performance to identify growth opportunities and inform product optimization strategies
• Provide actionable insights and recommendations to key stakeholders based on statistical analysis and data interpretation
• Develop and maintain dashboards, reports, and visualizations to track and communicate critical KPIs and performance metrics
• Work closely with stakeholders to define and track key performance indicators (KPIs) and provide regular reports and dashboards to inform decision-making
• Work closely with engineering teams to ensure accurate data collection and instrumentation, providing guidance on tracking implementation and data integrity
• Collaborate with the data engineering team to refine and enhance data infrastructure and architecture to support advanced analytics and reporting capabilities
• Partner with cross-functional teams, including engineering, product management, and product marketing, to drive the implementation of data-driven solutions and recommendations
• Stay up-to-date with the latest advancements in SEO practices, analytics tools, and statistical methodologies

Benefits

• Competitive equity ownership
• Comprehensive and generous benefits package