Airbnb Senior Manager Advanced Analytics 

United States 

519889057

A Typical Day:

• Drive forward Community Blueprint team’s data strategy and roadmap, setting direction for the organization.
• Act as the key liaison between the Advanced Analytics Community Blueprint team and the product, platform, and policy organizations, fostering effective communication and collaboration at the highest level.
• 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.

Your Expertise:

• A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 12+ 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.
• Prior experience in the technology industry or a fast-paced, data-driven environment is preferred.