Lead Product Data Analyst

Accountabilities: Conduct advanced product and marketplace analyses, from A/B testing to multivariate modeling, to identify trends, opportunities, and areas for optimization. Investigate complex relationships across supply, demand, pricing, retention, estimated arrival times, and service quality to distinguish meaningful insights from noise. Develop and maintain reliable dashboards and reporting systems that provide stakeholders with accurate, current, and actionable metrics. Establish consistent metric definitions and documentation, helping teams work from a shared source of truth. Partner with product managers, researchers, and business stakeholders to support prioritization, evaluate initiatives, and inform strategic decisions. Build and maintain clean, reusable, well-documented datasets and data models within the data warehouse using dbt. Improve self-service analytics by making datasets, reports, and documentation accessible to non-technical teams and providing guidance or training where needed. Use AI-powered tools to accelerate SQL development, dbt modeling, analysis, and reporting while maintaining high standards for accuracy and quality. Work autonomously, set strong analytical standards, and act as a trusted thought partner who helps raise the quality of decision-making across the organization. Requirements: Strong experience in product analytics, business intelligence, data analysis, or a related field, with the ability to operate independently at a senior or lead individual-contributor level. Advanced SQL skills and practical experience with data modeling and transformation using dbt. Intermediate proficiency in Python or R, particularly for statistical analysis and deeper analytical investigations. Experience designing and maintaining dashboards, reporting systems, and self-service analytics solutions; familiarity with Lightdash is relevant. Ability to conduct experiments and interpret analytical results, including A/B testing, retention analysis, and multivariate modeling. Strong understanding of marketplace dynamics and the relationships between supply, demand, pricing, customer behavior, and service performance. Experience translating complex analytical findings into clear business recommendations that influence stakeholder decisions. Ability to define, document, and maintain trusted metrics and reusable datasets. Daily use of AI tools such as Claude, ChatGPT, or Copilot to support analytical workflows, with a willingness to experiment with emerging capabilities and validate generated outputs. Strong critical thinking, intellectual curiosity, and a learning-oriented approach to understanding business problems before proposing solutions. Excellent communication and collaboration skills, with the ability to build trust and work effectively with cross-functional stakeholders. A proactive, practical mindset, balancing analytical rigor with a bias for action and the ability to make progress in evolving environments. Comfortable working autonomously without direct people-management responsibilities. Important application requirement: Please submit your resume in English. Applications without an English resume will not be considered. Benefits: Annual base salary of $75,000–$100,000 USD. Fully remote working arrangement, with flexibility to work from your preferred location. Flexible paid time off, with an emphasis on outcomes rather than hours logged. Access to AI tools and established Claude-powered workflows, with opportunities to expand their use across experimentation and analytics. Autonomy and flexibility to organize your work environment and coordinate working hours with US-based stakeholders.