Lead, Advanced Analytics, Acquisition

Airbnb

3d•$164,000 - $191,000•Remote

About The Position

Airbnb is seeking a Lead, Advanced Analytics, Acquisition to support the acquisition of new Hosts and drive the business's growth. The individual in this role will focus on in-depth data analysis, metric definition, benchmark creation, experimentation, and synthesis to high-level insights for prioritization. This role involves conducting advanced data analysis to extract actionable insights, collaborating with business teams to provide data-driven insights, defining new metrics, building dashboards, and conducting A/B tests. The role also requires collaboration with cross-functional teams such as Strategic Finance, Data and Analytical Engineering, and Data Science.

Requirements

8+ 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 econometric and statistical analysis, and experience in applying these skills to derive insights from broad data sets.
Strong expertise in at least one programming language (Python or R) and SQL.
Experience with AI-assisted analytics (Claude, ChatGPT, etc).
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.
An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

Responsibilities

Conduct advanced data analysis to extract actionable insights that inform strategic decisions
Collaborate closely with business teams, providing data-driven insights to support strategic decisions
Define new metrics and identify leading indicators of key business outcomes
Build dashboards to track key performance metrics across markets and customer segments to establish benchmarks
Conduct A/B tests to improve business performance and maximize incrementality
Collaborate with cross-functional teams, including Strategic Finance, Data and Analytical Engineering, and Data Science, to align strategies and leverage synergies