Forecasting and Demand Planning Analyst

Airbnb is seeking a seasoned Forecasting and Demand Planning Analyst to join the Community Support (CS) team. This role is responsible for demand forecasting and long-term planning across multi-channel contact center operations for the Global Operations team, ensuring the organization has the right resources, at the right time, with the right skills to meet service level objectives while optimizing cost and productivity.

• Own short-term, mid-term, and long-term demand forecasting across all Global Operations teams and channels (phone, messaging, email, back-office).
• Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques (e.g., exponential smoothing, ARIMA, regression-based models).
• Perform trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies.
• Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis.
• Perform scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events.
• Continuously assess model performance using statistical accuracy metrics (MAPE, RMSE, MAE, bias).
• Establish model governance standards, including documentation, validation, back-testing, and post-mortem analysis.
• Research, prototype, and implement new forecasting and optimization techniques as business needs evolve.
• Perform scenario planning and sensitivity analysis to quantify trade-offs between service levels, cost, and utilization.
• In partnership with the Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models.
• Use SQL and Python to extract, transform, and analyze large-scale operational datasets to monitor forecast accuracy, capacity gaps, utilization, and operational risk.
• Present forecast assumptions, methodologies, risks, trade-offs, and recommendations in clear, executive-ready formats and act as a trusted advisor to senior leadership.
• Align cross-functional stakeholders (Delivery, Product, Finance, HR, and others) to embed planning outputs into execution and operational decision-making.
• Identify and implement process improvements, automation, and best practices in the demand and capacity planning area.

• 10+ years of experience in demand forecasting, capacity planning, workforce analytics, or applied analytics.
• Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a related quantitative field.
• Strong foundation in probability, statistics, and optimization.
• Hands-on experience building and validating forecasting models (time series analysis, exponential smoothing, ARIMA, regression, hypothesis testing) and capacity models (Erlang, queueing theory, service-level and utilization modeling).
• Strong understanding of contact center metrics (AHT, ASA, service level, shrinkage, occupancy); experience supporting large-scale, multi-site, or global contact center environments preferred.
• Advanced analytical skills with strong proficiency in Excel, Google Sheets, SQL, Python and data visualization tools such as Tableau.
• Experience with WFM tools (e.g., NICE, Verint, Aspect) or planning platforms (e.g., Anaplan) preferred.
• Strong business acumen with the ability to balance cost efficiency and customer experience outcomes.
• Excellent communication, executive presentation, and stakeholder influence skills.
• Comfortable operating in fast-paced, ambiguous, and highly dynamic environments.

Base pay range: $168,000—$210,000 USD. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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. You must live in a state where Airbnb, Inc. has a registered entity.

Apply through the provided link.