Senior Product Data Analyst

Role Overview

• 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

Requirements

• Bachelor's or Master's degree in a quantitative field (eg, Computer Science, Engineering, Statistics, Economics, Finance, Mathematics).
• 8+ years of proven experience in Analytics/Business Intelligence
• Strong SQL skills with demonstrated ability to write complex queries
• Good working knowledge of Python for data analysis
• Proficiency with Excel and PowerPoint for data analysis and presentation
• Strong data visualization skills with demonstrated ability to present complex data clearly
• Experience with experimentation frameworks and design using statistical methods (A/B testing, hypothesis testing, etc.)
• Experience designing experiments using advanced methodologies (sequential testing, Bayesian methods)
• Experience thriving in fast-paced environments.
• Comfortable implementing new analytic techniques and driving adoption across teams.

Tech Stack

• Python
• SQL

Benefits

• Occasional early morning meetings (as early as 6am PST) are required to collaborate with our engineering team in Eastern Europe