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Company Name Airbnb

Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique travel experiences around the world. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb allows people to Belong Anywhere through unique travel experiences at any price point, in more than 34,000 cities and over 191 countries. We promote a culture of curiosity, humanity, and creativity through our product, brand, and, most importantly, our people.

The Analyst will support the business in delivering high-quality strategic analysis and reports for community support. A focused, hard-working and meticulous analyst, you will develop functional expertise in data analysis as well as in-depth and expert industry insight and knowledge providing the key insights and findings to improve how we support our customers. The analyst will be working closely with counterparts in Finance and Data Analytics both locally and internationally to help inform Global CS data analytics needs and models.

Role & Responsibilities

  • Apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions 
  • Review, support and advise on the day-to-day analytics requirements of  key operational processes while continually improving the impact of these processes
  • Work directly with stakeholders to conduct hands-on rigorous quantitative analysis as part of the overall problem solving approach
  • Advise on analytics to address specific needs, including discussing potential analytical approaches to problems, associated costs and trade-offs, and recommendations, while working with the team to translate input from quantitative analyses into specific and actionable business recommendations



  • Master’s or Bachelor's degree in a relevant field of study
  • 4 + years top tier analyst or consulting experience in business intelligence or analytics
  • Experience with customer service or customer operations analytics a huge plus
  • Hands-on experience with one or more language(s) used for querying (e.g. SQL, SAS)
  • Experience with Big Data/Analytics platforms/languages like Hive, Python, R a big plus
  • Experience with Tableau or similar BI platform to develop reports and dashboards
  • Ability to tailor insights to present clearly to audiences from varied backgrounds
  • Hands-on to get things done fast and ability to work without continual guidance
  • Enquiring mind with ability to recognize inefficiencies and challenge the status quo
  • Attention to detail combined with creative thinking
  • Excellent written and verbal communication skills
Division Global Support
Internal Reference Code/Reference No.
Location Name United States
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