Lead, Advanced Analytics

Role Overview: Airbnb, a global platform with over 5 million hosts and 2 billion guest arrivals worldwide, is seeking a Lead, Advanced Analytics, Host Communities to drive data-driven decision-making and support strategic business and product initiatives. As part of the Analytics Centre of Excellence (ACOE) based in India, you will play a pivotal role in conducting advanced data analysis, statistical modeling, and developing reporting tools to empower stakeholders in making informed decisions. Key Responsibilities: - Conduct advanced data analysis and statistical modeling to extract actionable insights for strategic decisions. - Design and build metrics/dimensions to monitor product and business performance. - Build sophisticated reporting, analytical tools, and dashboards to enable data-driven decision-making. - Design, execute, and analyze experiments to measure feature impact and guide product iterations. - Collaborate cross-functionally with various teams to ensure alignment and leverage synergies. - Manage senior stakeholder relationships, ensuring clarity of communication and strategic alignment on analytics initiatives. - Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices and mentoring others. Qualifications Required: - 8 years of industry experience and a degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). A Masters or PhD is a plus. - Prior experience in data science and product analytics. - Deep expertise in measurement frameworks, metric design, and metric creation. - Proficiency with BI tools like Tableau or Superset for report and dashboard development. - Familiarity with experimentation, causal inference, and LLMs. - Advanced proficiency in SQL/NoSQL and programming languages such as Python, R, SAS, and intermediate knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. - Strong business acumen, strategic thinking skills, and the ability to make informed judgments. - Outstanding communication and stakeholder management skills. - An agile, growth-minded approach with a history of driving projects from ideation to impact. (Note: Additional details about the company were not present in the provided job description) Role Overview: Airbnb, a global platform with over 5 million hosts and 2 billion guest arrivals worldwide, is seeking a Lead, Advanced Analytics, Host Communities to drive data-driven decision-making and support strategic business and product initiatives. As part of the Analytics Centre of Excellence (ACOE) based in India, you will play a pivotal role in conducting advanced data analysis, statistical modeling, and developing reporting tools to empower stakeholders in making informed decisions. Key Responsibilities: - Conduct advanced data analysis and statistical modeling to extract actionable insights for strategic decisions. - Design and build metrics/dimensions to monitor product and business performance. - Build sophisticated reporting, analytical tools, and dashboards to enable data-driven decision-making. - Design, execute, and analyze experiments to measure feature impact and guide product iterations. - Collaborate cross-functionally with various teams to ensure alignment and leverage synergies. - Manage senior stakeholder relationships, ensuring clarity of communication and strategic alignment on analytics initiatives. - Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices and mentoring others. Qualifications Required: - 8 years of industry experience and a degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). A Masters or PhD is a plus. - Prior experience in data science and product analytics. - Deep expertise in measurement frameworks, metric design, and metric creation. - Proficiency with BI tools like Tableau or Superset for report and dashboard development. - Familiarity with experimentation, causal inference, and LLMs. - Advanced proficiency in SQL/NoSQL and programming languages such as Python, R, SAS, and intermediate knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. - Strong business acumen, strategic thinking skills, and the ability to make informed judgments. - Outstanding communication and stakeholder management skills. - An agile, growth-minded approach with a history of driving projects from ideation to impact. (Note: Additional details about the company were not present in the provided job description)