Senior Demand Forecaster, GoDaddy

• 8+years of demand forecasting, risk probability modeling, profitability modeling, process sensitivity modeling, or similar predictive modeling required
• Ability to develop statistical models, build scenarios, and forecast with a high level of accuracy required
• Knowledge of ARMA/ARIMA/SARIMA, decomposition, linear regression, exponential smoothing, or related statistical models required
• Proficiency in R or similar language required
• Proficiency with Microsoft Office (including sophisticated statistical and worksheet functions), business intelligence applications, and databases required

Desirable

• Partner with Product Management, Engineering, Marketing, Care & Services Operations teams, Business Intelligence, and Finance to develop customer contact demand forecasts to meet business goals, customer needs, and financial commitments
• Deliver accurate 18-month rolling multi-channel demand forecasts (phone, messaging, etc.) across different geographies
• Project operational performance including forecast variance projections, service level projections, and operational performance projections while ensuring model and algorithm accuracy based on actuals
• Perform statistical modeling to project possible effects of business and product changes, guide and customer workflow and process changes, routing changes, and marketing campaigns
• Build models and ad-hoc queries to support business analysis to diagnose business performance and identify the root cause
• Present forecasts in a way that is easily absorbed by audiences of varying levels, including senior leaders and key collaborators
• Apply key data to understand how the business is performing for GoDaddy customers and against business goals and identify priorities to improve operational performance