Lead Advanced Analytics – Gurgaon

airbnb, Inc.; Gurugram District; On-site; INR 6,000,000 - 12,000,000; Full time

Job summary

Airbnb, Inc. in India is seeking a Lead, Advanced Analytics, Marketplace to drive data-informed decisions across product and pricing initiatives.

You will design metrics, build dashboards, and develop reporting tools to monitor performance and ROI, collaborating with Strategy Finance, Data and Analytical Engineering, and Data Science teams. You will apply advanced analytics, statistical modeling, and AI-enabled workflows to scale insights, mentor others, and advance the analytics discipline

Qualifications

• 8+ years in industry experience in data analytics, product analytics, or related field.
• Strong measurement frameworks, metric design and metric creation.
• Deep expertise in SQL/NoSQL and data tooling.
• Experience with AI to build dashboards and automate tasks.
• Excellent stakeholder management and communication skills.

Responsibilities

• Design and build metrics and dimensions to monitor product and business performance.
• Develop reporting tools and dashboards for stakeholders to enable data-driven decisions.
• Collaborate cross-functionally with Strategy Finance, Data and Analytical Engineering, and Data Science teams.
• Conduct advanced data analysis and statistical modeling to generate actionable insights.
• Drive adoption of AI tools and scale AI-first analytics across teams.

Skills

SQL

Python

R

SAS

Presto

Hive

Teradata

Spark

Tableau

Superset

AI/LLMs

Experimentation

Causal inference

Stakeholder management

Communication

Education

Masters or PhD in a quantitative field

Tools

Presto

Hive

Teradata

Spark

Tableau

Superset

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 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 with BI tools like Tableau or superset to develop reports and dashboards.
• Experience leveraging AI to build dashboards, automate repetitive tasks, and empower stakeholders.
• Familiar with experimentation, causal inference, and LLMs
• Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
• Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
• 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.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.