about 5 hours ago

Lead, Advanced Analytics, Product

United States

$157,000-$185,000 / year

full-timelead Remotetravel and hospitality

Tech Stack

Description

You will support strategic business and product initiatives through data analysis, experimentation, and statistical modeling, driving product decisions in areas like pricing and marketplace analytics. You'll partner with the head of Product for Marketplace to extract actionable insights and build analytical tools.

Requirements

  • A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree.
  • 10+ 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.

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.
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