Staff Analyst, Advanced Analytics

Summary

Join Airbnb's Community Blueprint team as a Staff Advanced Analytics professional. Leverage your expertise in data analysis, statistical modeling, and forecasting to drive data-driven decision-making and enhance the guest and Host experience. Collaborate with cross-functional teams across the organization, presenting findings to senior leadership. This role requires deep technical expertise in data analysis and strong communication skills. The position is US-remote eligible with occasional office work. Compensation includes a competitive salary, bonus, equity, benefits, and employee travel credits.

Requirements

• A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 9+ years of industry experience in a Data Science, Analytics, Investment Banking or equivalent role
• Deep technical expertise in data and statistical analysis, experimentation, causal inference, forecasting methods, and familiarity with LLMs
• Proficiency in programming languages such as Python or R for data analysis and modeling
• Experience working with large datasets and SQL for data extraction and manipulation
• Self-starter, thrives in ambiguity, and has an investigator mindset of wanting to get to the bottom of problems
• Strong problem-solving and critical thinking abilities, with a keen attention to detail
• Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders
• 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
• Robust business acumen, strategic thinking skills, and the ability to make informed judgments

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making
• Collaborate closely with Product, Engineering, Finance, Operations, Data Science, Advanced Analytics, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights
• Develop and implement advanced forecasting models to not only predict key performance metrics but also understand the metric’s actual performance
• 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
• Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner
• Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques

Preferred Qualifications

Prior experience in the technology industry or a fast-paced, data-driven environment is preferred

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits