Senior Manager, Business Analytics - Strategic Modeling
G
GoDaddyCustomer care operations
Canada, Remote - BC or ONFull-TimeManager
SalaryCanada: $137,000 — $205,000 CAD; may be eligible to participate in a discretionary cash bonus scheme that pays 15% of base salary based on individual and company performance.
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Job Details
- Experience
- 8+ years of experience in business analytics, forecasting, strategic planning, financial modeling, capacity planning, or a related quantitative discipline; 3+ years of people leadership experience.
- Required Skills
- PythonSQLBusiness AnalysisTableauR
Requirements
- Have 8+ years of experience in business analytics, forecasting, strategic planning, financial modeling, capacity planning, or a related quantitative discipline.
- Have 3+ years of people leadership experience.
- Demonstrate success developing analytics professionals and leading complex, cross-functional analytical initiatives.
- Have experience building and improving forecasting, scenario modeling, and strategic planning capabilities.
- Have experience with time-series forecasting, model validation, backtesting, and sensitivity analysis.
- Demonstrate strong SQL proficiency.
- Have working knowledge of Python and/or R for analytical modeling, automation, or forecast development.
- Have experience using business intelligence tools such as Amazon QuickSight, Tableau, or Power BI.
- Demonstrate financial and operational acumen and the ability to communicate data-driven recommendations to senior and executive stakeholders.
- Experience supporting customer care, contact center, sales, or other high-volume service operations is an additional qualification.
- A relevant quantitative master's degree is an additional qualification.
Responsibilities
- Lead and develop a multidisciplinary Business Analytics team responsible for long-term revenue forecasting, contact forecasting, capacity planning, and strategic modeling.
- Establish an integrated modeling framework connecting commercial assumptions, customer demand, productivity, workforce capacity, hiring, training, and financial outcomes.
- Build and oversee forecasting, scenario, and sensitivity models for demand, conversion, productivity, AHT, attrition, automation, and hiring timelines.
- Translate analytical outputs into capacity, hiring, training, and investment recommendations for senior and executive leaders.
- Establish standards for forecasting methodology, model governance, validation, backtesting, documentation, and continuous improvement.
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