Staff Analyst, Advanced Analytics

at Airbnb

📍 United States

$172,000-243,500 per year

MIDDLE SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 5 SQL @ 3 R @ 5 Data Science @ 3 Leadership @ 3 Communication @ 3 Planning @ 3 Data Analysis @ 3 Experimentation @ 3 Reporting @ 3 Agile @ 3

Details

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 Community You Will Join:

Airbnb is a global hospitality platform that connects travelers with unique accommodations and experiences around the world. Our mission is to create a world where anyone can belong anywhere. Community Blueprint is a team under Global Operations that aims to improve the quality of the end-to-end customer journey and bridge team silos across product, operations, and policy. To do this, we need to be experts in the guest and Host experience and in how the product, operations, and policies function together to deliver the Airbnb experience. As part of the Community Blueprint team, your role will be instrumental in driving data-driven decision-making, connecting data across product & operations, and enhancing the guest and Host experience.

The Difference You Will Make:

We are seeking a highly experienced and skilled individual contributor Advanced Analytics professional with deep expertise in supporting strategic business initiatives through detailed data analysis, experimentation, statistical modeling, forecasting, and development of reporting tools and metrics. As the Staff Advanced Analytics - Community Blueprint, you will be responsible for leveraging data insights and advanced analytics techniques to define, forecast, and evaluate key metrics in an unstructured problem space and partnering with other data experts to understand the impact and interaction of various key metrics. The ability to communicate a robust understanding of the key drivers - what moves these metrics and why - will be critical to success. This role will also be presenting to and influencing leaders at the highest level.

A Typical Day:

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting, and the presentation of data to identify trends and patterns that can inform decision-making.
  • Collaborate closely with Product, Engineering, Finance, Operations, Data Science, Advanced Analytics, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning, and other cross-functional teams to provide actionable insights.
  • Develop and implement advanced forecasting models to not only predict key performance metrics but also understand the metric’s actual performance.
  • Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
  • Design and build metrics / dimensions to monitor product and business performance.
  • Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
  • Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner.
  • Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques.

Your Expertise:

  • A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 9+ years of industry experience in a Data Science, Analytics, Investment Banking or equivalent role.
  • Deep technical expertise in data and statistical analysis, experimentation, causal inference, forecasting methods, and familiarity with LLMs.
  • Proficiency in programming languages such as Python or R for data analysis and modeling.
  • Experience working with large datasets and SQL for data extraction and manipulation.
  • Self-starter, thrives in ambiguity, and has an investigator mindset of wanting to get to the bottom of problems.
  • Strong problem-solving and critical thinking abilities, with a keen attention to detail.
  • Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
  • 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.
  • Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
  • Prior experience in the technology industry or a fast-paced, data-driven environment is preferred.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

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.

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 is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range:
$172,000 — $243,500 USD