Product Analyst II (UGC)

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

Our flexible work benefit - Scribd Flex - enables employees, in partnership with their manager, to choose the daily work-style that best suits their individual needs. As an organization, we prioritize collaboration and intentional in-person moments to build culture and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location.

About the TeamThe mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data.

The User Generated Content (UGC) Pillar vision and mission is to inspire the world through stories and knowledge by being the largest and most accessible library that connects storytellers with their audience. Every month, hundreds of millions of people come to Scribd and SlideShare, our UGC products, to grow themselves personally and professionally.

About YouYou are a highly motivated and analytical individual who loves solving ambiguous business problems. You thrive in a fast-paced and collaborative environment, where you can leverage your strong communication skills to effectively interact with executives, stakeholders, and cross-functional teams. You are a strategic thinker who can balance big-picture objectives with attention to detail, and you possess a natural curiosity to explore complex problems and find innovative solutions.

You Will:• Collaborate with the product team to develop and execute data-driven experiments and A/B tests, focusing on UGC initiatives.• Conduct in-depth analysis of user behavior, conversion rates, and content performance to identify growth opportunities and inform product and search and recommendation optimization strategies.• Provide actionable insights and recommendations to key stakeholders based on statistical analysis and data interpretation.• Develop and maintain advanced dashboards, reports, and visualizations to track and communicate critical key performance indicators (KPIs) and performance metrics.• Work closely with stakeholders to define and track KPIs and design Product Analytics roadmap to drive UGC strategy. • 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.

You Have:• Proven experience (2+ years) in product analytics, preferably in a high-velocity product environment, with a track record of delivering impactful insights and driving growth.• Understanding of statistical analysis methods, experimental design, and hypothesis testing.• Experience with A/B testing methodologies, funnel analysis, cohort analysis, and other advanced analytics techniques. • Strong proficiency in data visualization tools such as Tableau, Looker, or similar tools to create compelling dashboards and reports.• Expertise in programming languages such as Python or R, as well as proficiency in SQL for data extraction and manipulation.• Self-motivated, proactive, and able to work effectively both independently and collaboratively in a dynamic, fast-paced environment.• Excellent communication and presentation skills, with the ability to convey complex findings and insights to non-technical stakeholders in a clear and actionable manner.• Strong problem-solving skills and the ability to think critically, ensuring accuracy and attention to detail in all analyses.• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A Master's degree is a plus.