Senior Business Analyst

Description

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 Senior Analyst, Insights 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:

• Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.
• Drive day to day product analytics and create scalable data tools.
• Build advanced analytical capabilities and tools, 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.
• You have a strong sense of urgency for and commitment to Airbnb’s mission of belonging.

A Typical Day:

Design processes and metrics:

• Define and implement functional strategy
• Ensure that the work gets delivered against the functional goals
• Quality assurance deliverables, reports, insights, responses provided by the remote team by reviewing outputs along with creating and reviewing QA plans
• Identify operational weaknesses and help improve or innovate new processes to keep local teams as efficient as possible

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

Additional requirements for Visualisation/dashboarding expertise:

• Build and maintain Tableau dashboards
• Triage and resolve bugs
• Write and maintain documentation
• Track performance against SLAs
• Identify opportunities for new dashboards or feature

Your Expertise:

• 5+ years of experience in data analytics or data science
• Graduate in Economics, Business, Engineering, or other quantitative fields
• Experience in Startup / Tech / Analytics / E-Commerce organizations is preferred
• First hand expertise in Tableau (or other BI tools), building and maintaining enterprise level dashboards is required
• Excellent SQL skills and comfortable using Git, Python and/or R
• Expertise on Microsoft Excel and/or Google Sheets, PowerPoint etc.
• Experience with data mining and cleaning, exploratory analysis, visualizations and metrics creation
• Rich experience in insightful data analytics and good knowledge of advanced/statistical analytics
• Expertise in stakeholder & project management,
• Expertise in stakeholder & project management, strong analytical capabilities & logic driven mindset
• Excellent communication skills with the ability to distill complex subjects to a wider audience
• Keen attention to detail and ability to thrive in a dynamic environment with a high degree of ambiguity

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.

• Workspace: A dedicated, quiet, and private workspace free from interruptions and external noise
• Internet Connectivity: During the working hours, maintain a minimum and consistent internet speed of 10 Mbps on your official devices to ensure reliability for work-related tasks, including calls and virtual meetings
• Professionalism: Employees must remain fully engaged, respectful, and maintain a professional presence during virtual meetings, with video participation required unless otherwise approved.
• Confidentiality & Security: Employees are responsible for protecting Airbnb’s Intellectual Property and Confidential Information. Work-related activities, including calls and meetings, must not be conducted in public places, while traveling, or in any setting that may compromise confidentiality or work quality.