Lead - Business Analyst

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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.

The Community You Will Join:

We are looking for a Lead Business Analyst in our Analytics Centre of Excellence who works in the Sales Operation team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to our product teams and business leaders, operations team through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Insights Analytics family and support product and business leaders within our Sales and Revenue operations organization.

The Difference You Will Make:

Lead Analyst will help set up a team at Airbnb with a focus on building a functional vision and championing the use of data in making key business decisions.

A Typical Day:

• Build and update dashboards in Tableau and Looker to drive actionable insights and self-service for stakeholders.
• Acts as a consolidation point for all Supply related data analysis needs and data integrity issues.
• Investigates data quality issues reported by business and finds solutions/fixes
• Collaborates with data engineering and data science to investigate such data issues
• Interfaces with data engineering to drive prioritization and accountability of data needs.
• Build a case for necessary resources within data engineering to support Supply data needs.
• Ensures data quality and data integrity to manage Supply data assets to be analysis ready.
• Automate routine reporting to dashboards with advanced filtering and deep dive capabilities.
• Establish standards for metadata/ taxonomy, metrics, query, reports and scorecards.
• Creates specifications and generates reports and analysis mapping to business needs.
• Provide consultation and lead cross-functional teams to address business issues.
• Directly produce datasets and reports for analysis using databases and reporting tools.
• Push for continuous improvement when it comes to best in class data visualization.
• Ad-hoc reporting and analysis to support key Supply initiatives.
• Provide actionable data-driven recommendations to stakeholders’ business questions.

Stakeholder management:

• Develop measurement strategies and reporting of key business metrics for multiple audiences including senior leadership
• Collaborate with leaders and managers to determine and address data and reporting needs for various company projects.

Enable the function as an analytics consultant:

Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes

Prepare reports/dashboards/build actionable insights:

Create, maintain, and communicate detailed reporting models to assist regional and global operations, managers

Independently work on deep insightful analysis and advanced analytics

• Provide solutions to business problems through quick ad-hocs analysis with deep insights
• Provide robust analytical solutions through advanced/statistical analysis

Your Expertise:

• A minimum of 8 years of overall experience.
• Graduate in Economics, Business, Engineering, or other quantitative focus.
• Expertise with Tableau with minimum 2 years experience in building enterprise level dashboards.
• Excellent SQL skills and expertise in Microsoft Excel and various business intelligence and analytical tools and comfortable using Git and Python
• Expert with using Google Suite i.e. Google Sheets, Google Slides.
• Passion for Data Visualization and driving user adoption of dashboards.
• Design and build data pipelines to automate flow of data from various sources to power dashboards and critical analyses.
• Impeccable attention and commitment to creating clean reproducible code.
• Strong analytical capabilities & logic driven mindset.
• Understanding of data gathering, inspecting, cleansing, transforming, and modeling / diagramming techniques.
• Experience with data mining and cleaning, exploratory analysis, visualizations and metrics creation
• Rich experience in insightful data analytics and good knowledge of statistical analytics like random forest regression / variable importance determination
• Excellent time management skills and ability to prioritize work.
• Flexibility to adapt to changing requirements to meet stakeholder needs.
• Hands-on exposure to generative AI tools with the ability to design simple agentic AI automations for sales, insights, and operational workflows OR Working knowledge of AI tools and ability to build lightweight agentic AI workflows for analytics and sales optimization is desired

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.