[Hiring] Senior Business Analyst @GoDaddy

Role Description

GoDaddy is seeking an experienced Senior Business Analyst to join the Strategic Modeling team within Care Commercial Success. This role will serve as a senior individual contributor responsible for developing and improving forward-looking models that connect revenue, customer demand, capacity, staffing, hiring, and training. The analyst will independently lead complex analyses, translate business assumptions into scalable models, evaluate risk and trade-offs, and communicate recommendations to senior business partners. This role will also help establish modeling standards and mentor other analysts as the Strategic Modeling capability matures.

• Build, maintain, and improve end-to-end models for forecasting, capacity planning, staffing, revenue, and strategic business planning.
• Translate commercial, operational, and financial assumptions into integrated forecasts that quantify impacts to revenue, demand, workforce capacity, hiring, training, and expense.
• Develop models from the ground up and evaluate existing approaches to identify more effective, scalable, and integrated solutions.
• Lead scenario analysis, sensitivity analysis, back testing, and model validation to evaluate trade-offs, understand risk, and improve forecast performance.
• Partner with cross-functional and executive stakeholders to turn business questions into actionable insights and recommendations, while mentoring and sharing modeling best practices with other analysts.

Qualifications

• 6+ years of experience in forecasting, strategic modeling, workforce or capacity planning, financial modeling, business analytics, or a related quantitative field.
• Demonstrated experience independently building forecasting or planning models from the ground up, with strong experience in time-series and other forward-looking modeling techniques.
• Advanced SQL skills, proficiency in Python and/or R, and experience with data visualization tools for analysis, forecasting, modeling, and communicating insights.
• Strong problem-solving and intellectual curiosity, with the ability to solve ambiguous business problems, challenge existing approaches, and thoughtfully use AI-assisted technologies.
• Strong stakeholder and executive communication skills, with the ability to translate complex analysis into clear recommendations, mentor others, and support business partners.

Requirements

• Bachelor’s or master’s degree in Statistics, Mathematics, Operations Research, Economics, Finance, Business Analytics, Data Analytics, or a related quantitative discipline.
• Experience in contact-center forecasting, workforce management, capacity planning, demand planning, strategic finance, or revenue forecasting.
• Experience with ARIMA/SARIMA, gradient boosting, simulation, optimization, machine-learning forecasting, or ensemble approaches.
• Experience developing analytical tools, models, or workflows that incorporate AI capabilities.
• Experience with Amazon QuickSight, as well as model governance, automated backtesting, or integrated modeling processes.

Benefits

• Paid time off.
• Retirement savings (e.g., 401k, pension schemes).
• Bonus/incentive eligibility.
• Equity grants.
• Participation in our employee stock purchase plan.
• Competitive health benefits.
• Other family-friendly benefits including parental leave.