Employ advanced data analysis to extract actionable insights that inform strategic decisions related to acquisition, listing quality, feature adoption, and engagement.
Collaborate closely with the VP Supply and VP Community and their teams, providing data-driven insights to support strategic decisions.
Design and execute offline experiments, measuring their impact and deriving insights for future strategies.
Utilize causal modeling to understand the attribution and incrementality of our actions across various channels.
Integrate with business technology tooling to execute experiments, surface insights, and embed recommendations into the system for optimized results.
Collaborate with cross-functional teams, including Strategic Finance, Data and Analytical Engineering, and Data Science, to align strategies and leverage synergies.
Manage senior stakeholder relationships independently, ensuring clear communication and strategic alignment on analytics initiatives.
Your Expertise:
9+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Prior experience in advanced analytics or business data science within a marketplace or business strategy setting.
Deep understanding of time-series analysis, causal modeling, and experience in designing, running, and measuring offline experiments.
Exceptional business acumen, strategic thinking skills, and the ability to make informed judgments.
Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
Proven stakeholder management skills, with the ability to collaborate and influence across functions independently.
An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.