• Conduct in-depth product analytics to uncover user behavior patterns and trends • Analyze web data, conversion funnels, and user journeys to identify optimization opportunities • Perform ad hoc analyses to answer critical business questions and support strategic decisions and monitor key performance metrics and proactively identify areas for improvement • Investigate user engagement patterns to enhance product stickiness and retention • Collaborate with cross-functional teams to solve complex business problems • Create intuitive and powerful dashboards in Hex and Looker for stakeholders across the organization • Develop comprehensive reporting frameworks aligned with company KPIs • Measure the success of new product features through rigorous data analysis • Establish metrics that accurately reflect product health and business impact • Automate reporting processes to increase efficiency and data accessibility • Independently lead the statistical, direction of our experimentation agenda, guiding the business on experimentation and statistics best practices, dig into confounding factors and prioritizing designing complex experiments including pricing experiments • Lead experiment design and execution and build a strong experimentation culture by educating teams on best practices • Apply statistical rigor to test design, sample size determination, and results interpretation • Identify opportunities for A/B testing to optimize product performance • Use tools like Optimizely, Eppo, or LaunchDarkly to implement and track experiments • Develop frameworks for consistent and reliable experimentation across the company • Influence stakeholders by translating complex data findings into compelling stories • Build clear, concise presentations to executive teams that drive action • Find innovative ways to quantify ambiguous business problems • Advocate for data-informed approaches to solving business challenges • Proactively identify opportunities where data can drive business value