Senior Manager, Business Analytics – Strategic Modeling

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead and cultivate a multidisciplinary Business Analytics team tasked with long-term revenue forecasting, contact forecasting, capacity planning, and strategic modeling.

• Create an integrated modeling framework that links commercial assumptions, customer demand, productivity, workforce capacity, hiring, training, and financial outcomes.

• Develop and manage forecasting, scenario, and sensitivity models that assess demand, conversion rates, productivity, average handling time (AHT), attrition, automation, and hiring timelines.

• Convert analytical outputs into recommendations regarding capacity, hiring, training, and investments for senior and executive leaders.

• Communicate forecasts, risks, opportunities, and trade-offs to leadership effectively.

• Set standards for forecasting methodologies, model governance, validation, backtesting, documentation, and continuous improvement.

• Enhance automation, scalability, predictive accuracy, and speed to insight.

• Collaborate with Care leadership, Finance, Operations, Recruiting, Command Center, and other cross-functional teams.

• Identify risks, assess trade-offs, and facilitate financial and operational decision-making.

• Emphasize long-term strategic modeling, forecasting, and decision support rather than day-to-day workforce scheduling or intraday management.

⛳️ Requirements

• A minimum of 8 years of experience in business analytics, forecasting, strategic planning, financial modeling, capacity planning, or a similar quantitative field.

• At least 3 years of experience in people leadership, with a proven track record of developing analytics professionals and managing complex, cross-functional analytical projects.

• Expertise in building and enhancing forecasting, scenario modeling, and strategic planning capabilities, including time-series forecasting, model validation, backtesting, and sensitivity analysis.

• Strong proficiency in SQL.

• Familiarity with Python and/or R for analytical modeling, automation, or forecast development.

• Experience with business intelligence tools such as Amazon QuickSight, Tableau, or Power BI.

• Solid financial and operational understanding.

• Skill in translating complex analytics into clear, data-driven recommendations and influencing senior and executive stakeholders.

🏝️ Benefits

• Competitive pay

• Generous time off

• Parental leave

• Healthcare

• Retirement savings program

• Health, dental, and vision insurance

• Life insurance

• Critical illness coverage

• AD&D coverage

• Health care spending account

• Employee assistance program

• Paid sick time

• Paid personal time

• Paid parental leave

• Remote work options

• Paid holidays

• Paid wellness days

• Employee stock purchase plan

• Potential eligibility for GoDaddy's equity plan

• Potential eligibility for a discretionary cash bonus scheme paying 15% of base salary based on individual and company performance

• Employee Resource Groups

• Recruiting assistance with completing applications