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Senior Analyst, Advanced Analytics

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Airbnb

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

1890000.00 - 2700000.00 INR / Year
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Job Description:

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 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, 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.

Job Responsibility:

  • Work with technical and business teams to develop robust insights, create data narratives and leverage Airbnb’s rich data to define metrics
  • Build advanced analytical capabilities and tools, passionate about solving complex problems with data
  • adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
  • Leverage Airbnb’s state-of-art machine learning infrastructure, and other central data science tools to build and collaborate with a strong team of engineers, product managers, designers and operation agents to achieve shared, cross-functional goals
  • Develop a deep understanding of how guests and hosts interact with our payments platform and how we can manage our risk while meeting our regulatory compliance requirements, through structured and unstructured data sources
  • Execute projects with regular direction
  • Set a roadmap for projects up to a quarter ahead providing constant updates to business stakeholders, analytics management and deliver against agreed timelines
  • Ensure the availability of data quality and data integrity for analysis and reporting, by blending external and internal data, working closely with global operations and India analytics functions
  • Perform data modeling for the various entities involved in Airbnb including customers, hosts, cases, agents, and others using modern data modeling tools and frameworks to provide the analytical foundation of Airbnb’s Advance Analytics positions
  • Execute ad-hoc reporting, data investigations, and root cause analysis into various operational areas including policy incubation, enforcement efficacy, prevalence, efficiency, agent tooling, agent staffing & optimization, and agent quality & efficiency to identify and solve for operational bottlenecks and inefficiencies
  • Devise business metric frameworks and optimization models to make optimal business decisions that support arguments for Airbnb’s product, operations and policy issues
  • Influence data-driven decisions across global sites and business verticals in day-to-day via business reviews, self-serve portal, planning scorecards, and impact analyses among others
  • Experiment with new Airbnb policy / product features to help deter and mitigate risk
  • Influence machine learning models in partnership with DS / Engg teams to automate policy enforcement decisions, while enqueueing the most complex cases for manual review by agents

Requirements:

  • 6+ years of industry experience
  • Advanced degree in Business Analytics or other (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
  • Good communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
  • Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
  • Proven track record of delivering full stack data projects from inception to business impact
  • Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS
  • Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark
  • Familiarity with EDA, hypothesis testing, significance testing, linear regression, logistic regression, SVM, ridge regression, lasso regression, random forest, basic concepts of NLP, KNN, K-Means, A/B testing, multivariate testing, and digital funnel testing
  • Beginner level understanding of statistical and machine learning techniques, Tableau or similar BI platform to develop reports and dashboards
  • Have a positive and solution-oriented mindset with an ability to maintain confidentiality and objectivity
  • Exceptional problem-solving abilities, self-motivation and ability to work autonomously, strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines

Nice to have:

  • Knowledge and experience in payments processes, systems and tools would be a plus
  • Knowledge and experience in risk/compliance processes and data needs would be a plus
What we offer:
  • bonus or incentives
  • one or more equity programs
  • benefits
  • Employee Travel Credits

Additional Information:

Job Posted:
February 13, 2026

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