Lead Advanced Analytics, Community Support

Airbnb·Bengaluru, Indialead

In short

→Liderazgo técnico en análisis avanzado para mercados de Airbnb, enfocado en métricas y modelos estadísticos.
→Día a día: crear métricas, dashboards, modelado y impulsar IA en procesos analíticos.
→Destacado: impulsar capacidades de analytics basadas en IA y agentes autónomos en toda la empresa.

Fluency in English is required.

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What they ask for

✓8+ años en análisis de datos o ciencia de datos.
✓Experiencia en mercados digitales, precios y monetización.
✓Experto en diseño de métricas y frameworks de medición.
✓Dominio avanzado de SQL/NoSQL y Python/R.
✓Conocimiento intermedio en Presto, Hive, Teradata, Spark.
✓Experiencia previa en liderazgo o mentoreo de equipos analíticos.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLNoSQLPythonRSASPrestoHiveTeradataSparkLLMs

Who should you write to at Airbnb?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales,social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, experimentation, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Difference You Will Make ACOE is seeking a Lead, Advanced Analytics, Marketplace to help Airbnb enable travel for millions of guests and hosts on our platform. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving business and product decisions across topic areas across the company. A Typical Day • Design and build metrics / dimensions to monitor product and business performance. • Build sophisticated reporting, analytical tools, and dashboards 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. • Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions. • Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing others. • Actively build and scale AI-first analytics capabilities by integrating LLMs, agent-based workflows, and automation into day-to-day analytical processes • Drive adoption of AI tools across teams by embedding them into business workflows, enabling self-serve analytics and decision support • Stay at the forefront of applied AI developments and continuously evaluate their relevance for solving business problems Your Expertise • 8+ years in industry experience and 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 data science, product analytics within a marketplace and pricing / monetization products. • Deep expertise in measurement frameworks, metric design, and metric creation. • Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. • Expert

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