Airbnb

Airbnb is the world's largest community-driven hospitality company, offering homes and experiences in 191 countries. It is an online marketplace connecting people to unique accommodations and experiences globally.

Hotels, Restaurants & Leisure

Consumer Discretionary

5K-10K (8700)

Founded 2008

127 open positions

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Community Support Forecasting and Demand Planning Analyst

2 months ago

United States

Full-time

Lead

Operations Analyst

Data Science and Analytics

Erlang Machine Learning Python SQL Tableau

Apply Now

Airbnb

Hotels, Restaurants & Leisure

5K-10K

Founded 2008

View All Jobs 127

Description

Own short-, mid-, and long-term demand forecasting across global operations teams and support channels.
Design, develop, and maintain statistically robust forecasting models using time series and machine learning techniques.
Analyze trends, seasonality, variance, structural breaks, outliers, and demand anomalies.
Quantify forecast uncertainty using confidence intervals, error distributions, and bias analysis.
Run scenario modeling and sensitivity analysis for peak periods, product launches, growth initiatives, and unplanned demand events.
Track model performance using accuracy metrics such as MAPE, RMSE, MAE, and bias.
Establish model governance standards including documentation, validation, back-testing, and post-mortem analysis.
Partner with Analytics and Data Engineering to build planning data pipelines, dashboards, and automated capacity models.
Use SQL and Python to extract, transform, and analyze large-scale operational data.
Present forecast assumptions, risks, trade-offs, and recommendations to senior leadership and cross-functional stakeholders.

Requirements

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 and capacity models.
Experience with time series analysis, exponential smoothing, ARIMA, regression, hypothesis testing, Erlang, queueing theory, service-level modeling, and utilization modeling.
Strong understanding of contact center metrics such as AHT, ASA, service level, shrinkage, and occupancy; experience in large-scale, multi-site, or global contact center environments preferred.
Advanced proficiency in Excel, Google Sheets, SQL, Python, and data visualization tools such as Tableau.
Experience with WFM tools such as NICE, Verint, Aspect, or planning platforms such as Anaplan preferred.
Strong business acumen with the ability to balance cost efficiency and customer experience outcomes.
Excellent communication, executive presentation, and stakeholder influence skills, with the ability to explain complex analytical concepts to non-technical audiences.

Benefits

US-remote eligible, with occasional work at an Airbnb office or attendance at offsites as needed.
Base salary range of $168,000 to $210,000 USD.
May be eligible for bonus compensation.
May be eligible for equity.
Benefits package included.
Employee Travel Credits included.

Interested in this position?

Apply directly on the company website

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