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Senior Demand Forecast Analyst
Arc'teryx Equipment. Develop and maintain statistical forecasting models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical forecasting and predictive modeling, utilizing tools such as Python and R Studio to enhance forecast accuracy and automate processes. Strong ability to translate complex data into actionable insights for stakeholders while collaborating with demand planning teams.
Highest-signal resume keywords
Statistical ForecastingPredictive ModelingPython ProficiencyData VisualizationDemand Planning Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ForecastingPredictive ModelingARIMA TechniquesSARIMA TechniquesETS TechniquesPythonR StudioSQLData AnalysisForecast Accuracy
Soft Skills
CommunicationMentoringCollaborationProblem-SolvingInsight Translation
Industry Keywords
ForecastingData ScienceAdvanced AnalyticsRetail KPIsAutomationBusiness InsightsDemand DriversCommercial StakeholdersPlanningEnterprise-Level Frameworks
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop and maintain statistical forecasting models
- Enhance baseline forecast generation
- Evaluate and implement new forecasting techniques
- Improve forecast accuracy by identifying patterns, trends, and demand drivers
- Drive automation and process improvement to reduce manual overrides
- Report on and visualize data for planning and commercial partners
- Partner with demand planning teams to improve forecast adoption
- Balance model output with business context
- Translate complex analytical outputs into actionable insights for planning, merchandising, and commercial stakeholders
- Expand modelling scope across additional categories, channels, or regions
- Contribute to enterprise-level forecasting frameworks and automation infrastructure
Requirements
What you’ll need- Bachelor’s degree in Statistics, Data Science, Mathematics, Business Analytics, or a related field
- 5+ years of experience in Forecasting, Data Science, or Advanced Analytics
- Strong background in statistical forecasting and predictive modelling
- Proficiency in Python, R Studio, and/or SQL
- Hands-on experience with ARIMA, SARIMA, and ETS forecasting techniques
- Experience working with large, complex datasets
- Strong data visualization skills
- Strong understanding of retail KPIs including forecast accuracy, bias, sell-through, and weeks of stock
- Ability to translate complex data into actionable business insights
- Ability to communicate technical concepts to non-technical stakeholders
- Experience automating forecasting processes and reducing manual intervention
- Experience partnering with demand planning teams and balancing model output with business context
- Experience mentoring and developing others
- Candidates must be eligible to work in Canada
Benefits
Comp & perks- Extended health, dental, and vision coverage
- Mental health support
- Fertility benefits
- Gender-affirming care
- 24/7 Employee Assistance Program (EAP)
- RRSP matching
- Eligibility for Arc'teryx Annual Incentive Plan
- Access to Employee Stock Purchase program (ESPP) where applicable
- Paid time off
- Wellness time
- No Wasted Day program (dedicated paid days to get outside & explore)
- Parental leave top-up
- Nesting period for new parents
- Professional development opportunities
- Arc'teryx Academies (outdoor skill-building events)
- Employee Belonging Councils
- Employee discounts
- Pro Deals (exclusive discounted pricing on gear)