Lead, Advanced Analytics, Product

Responsibilities

• Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions.
• Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
• Design and build metrics / dimensions to monitor product and business performance.
• Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
• Work cross-functionally with Strategic Finance, Data and Analytical Engineering, and Data Science teams to ensure alignment and leverage synergies.
• Manage senior stakeholder relationships, ensuring clarity of communication and strategic alignment on analytics initiatives.

Requirements

• A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 8+ years of industry experience in a Data Science, Analytics, or equivalent role.
• Prior experience in data science, product analytics within a marketplace and pricing / monetization products.
• Deep technical expertise in data analysis, experimentation, causal inference, and familiarity with LLMs.
• Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
• Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
• Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.