Senior Product Analyst, Discovery

About the Team

The 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. 

Our Discovery Pillar serves millions of users across Everand, Scribd, and SlideShare. As a Senior Product Analyst, you'll be instrumental in driving product strategy and innovation within this dynamic ecosystem. Leveraging learnings from experimentation and user insights, you'll identify opportunities to enhance discovery, engagement, search and recommendations. You'll collaborate closely with data scientists, product managers, engineers, designers, and our machine learning teams to optimize user experiences, identify opportunities to expand our catalog, and drive growth. A particular focus will be on harnessing the potential of generative AI to personalize content recommendations and create innovative features.

About You

You 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 Discovery 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 KPIs and performance metrics.

• Work closely with stakeholders to define and track key performance indicators and design Product Analytics roadmap to drive Discovery 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.

• Mentor and guide junior analysts, sharing your expertise in statistics, data analysis, and product analytics best practices.

• Stay up-to-date with the latest advancements in analytics best practices, analytics tools, and statistical methodologies.

You Have:

• Proven experience (3+ years) in product analytics, preferably in a high-velocity product environment, with a track record of delivering impactful insights and driving growth.

• Expert knowledge 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.

At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.

In the state of California, the reasonably expected salary range is between $107,500 [minimum salary in our lowest geographic market within California] to $174,250 [maximum salary in our highest geographic market within California]. 

In the United States, outside of California, the reasonably expected salary range is between $89,000 [minimum salary in our lowest US geographic market outside of California] to $165,500 [maximum salary in our highest US geographic market outside of California]. 

In Canada, the reasonably expected salary range is between $111,500 CAD[minimum salary in our lowest geographic market] to $165,000 CAD[maximum salary in our highest geographic market]. 

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.