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Manager, Strategic Finance & Analytics
Airbnb
San Francisco, CA, United States
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As Airbnb continues to expand our business globally, we are always looking for the best and brightest to drive strategic business decisions. We’re looking for someone who is highly skilled from both an analytical and business standpoint. The person will be responsible for strategic analysis, forecasting, performance management, and will be expected to provide thought leadership to the Homes business. This role will have a high degree of visibility with senior management within the organization across product, data science and finance.
Responsibilities:
• Strategic Analysis
◦ Lead in-depth strategic and operational analyses for the Homes leadership team. Provide key business insights to uncover additional growth levers.
◦ Partner with product and marketing teams to evaluate and size new opportunities to guide future roadmaps.
◦ Have a seat within the Homes Science and Analytics team (Cross functional team with Data Science and User Research). Drive and lead strategic analysis such as Geo prioritization, balancing demand and supply, and competitive analysis.
• Performance Management
◦ Help deliver meaningful insights to the Homes leadership team on a weekly basis. Own the “CEO-dashboard” a weekly metrics publication to the entire company to keep everyone informed of our metrics.
◦ Partner with Product and Data Science to determine impact of product launches through in-depth experiment analysis. Help decide whether or not to launch major product changes.
◦ Help define new metrics and build dashboards to provide better visibility into performance.
• Forecasting
◦ Own the business component of Airbnb Homes forecast, regularly providing product and marketing input into forecast updates. You will ultimately own the end output of the forecast, which is used for budgeting, goal setting, and board meetings.
◦ Work with Data Science to improve forecast accuracy by exploring cutting edge statistical modeling approaches (i.e. tensor flow).
Qualifications:
• 8+ years of industry analytical experience at an investment bank or management consulting firm and/or Biz Ops / Data Science team. MBA is a plus.
• Ability to think and execute at multiple altitudes: from strategy and vision to execution.
• Strong communication/presentation skills with track record of presenting complex financial analyses to executives/ senior management clearly and concisely.
• Expert in SQL and fluent with data engineering and machine learning concepts.
• Superb financial modeling skills and experience with owning a business forecast.
• Experience with dashboard design and data viz tools.
• Experience with Python and R.
• Experience with building data pipelines is a plus.