Wednesday, December 11, 2019

Data Analyst - Trust Operations at AirBnB


Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7 million accommodations and 40,000 handcrafted activities, all powered by local hosts. An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than half a billion guest arrivals to date, and accessible in 62 languages across 191 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.

Trust is the foundation of our global community, and we want the interactions between our hosts and guests to embody our community values.  But no global movement springs from any one individual - it takes an entire team united behind something big.

In the Analytics Job Family, you will provide data and statistical skills to help drive data-driven decisions and support operational initiatives. As an Operations Analyst, you will be responsible for building operational data visualizations, reporting on and performing statistical analysis to provide insights and recommendations.You will be working closely with the Senior Operations Analyst, your Specialization managers, Data Science, Risk Product and other stakeholders to provide feedback and improve our models and user experience that directly impact operational health.

Responsibilities

Maintain Subject Matter Expertise of your respective Specialization to take on operational core work or escalations when necessary.
Build Specialization-specific Operational dashboards to visualize data analysis and insights.
Perform statistical analysis to derive risk impact and recommend actionable next steps.
Develop an Analytics Framework in collaboration with Business Process Improvement and Operations Management.
Quarterly Planning and Roadmapping in collaboration with Operations Management and Product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.
Review and approve query action tasks that mitigate risk.
Key Relationships

This role requires building and maintaining relationships with the following stakeholders, outside your Reporting line:

Data Science, Operations Leads, Senior Operations Analyst, Business Analytics
Policy, Quality, as potential Cross-functional Areas of Focus
Technical Skill Requirements

Proficient in SQL (or PrestoDB)
Expert at creating dashboards / data visualizations (Tableau preferred) and influencing senior leadership through data
Advanced Excel proficiency including but not limited to pivot tables, macros, charts, functions
Statistics familiarity or background
Python is always a plus!
Qualifications

6+ years experience, or 2+ years experience plus a relevant educational background (computer science, statistics, etc.)

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