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Senior Demand Forecast Analyst - NAM

Remote / Online - Candidates ideally in
North Vancouver, BC, Canada
Listing for: Arc'teryx Equipment
Remote/Work from Home position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 94000 - 124000 CAD Yearly CAD 94000.00 124000.00 YEAR

Job Description & How to Apply Below

Capability:  DTC Planning & Allocations - NAM
Your Opportunity at ARC’TERYX:  As a Senior Demand Forecast Analyst – NAM, you will sit at the intersection of data science and commercial planning, building and improving the statistical forecasting models that underpin demand planning capability. You will enhance baseline forecast generation, evaluate and implement new forecasting techniques, and drive automation that reduces manual intervention and improves the quality of the demand signal.

Working closely with demand planning partners, you will translate complex model outputs into clear, actionable insights that improve forecast adoption and sharpen in-season decisions. This is a role for someone who combines technical depth with business curiosity, communicates with confidence across both analytical and commercial audiences, and is energized by continuously raising the bar on forecasting maturity.
This role is based out of our North Vancouver office and is open to hybrid remote work. Candidates must be eligible to work in Canada.
Meet Your Future Team:
The DTC Planning & Allocations – NAM team translates business priorities into integrated plans across Retail and eCommerce, incorporating local demand signals, channel strategies, and market context. The team positions inventory effectively by channel, supports replenishment and inventory flow decisions, and drives aligned decisions that support growth, profitability, and customer experience across Demand Planning, Inventory Planning, and Allocations.
Department:  Regional Supply Chain – NAM
Capability:  DTC Planning & Allocations - NAM

Location:

North Vancouver, Hybrid
If you were in the Senior Demand Forecast Analyst - NAM role now, here are some of the core activities you would be doing:
Developing and maintaining statistical forecasting models, enhancing baseline forecast generation, and evaluating and implementing new forecasting techniques
Improving forecast accuracy by identifying patterns, trends, and demand drivers, and continuously evolving modelling approaches to strengthen the demand signal
Driving automation and process improvement to reduce manual overrides, and reporting on visualizing data to communicate findings to planning and commercial partners
Partnering with demand planning teams to improve forecast adoption, balancing model output with business context to ensure forecasts are both technically sound and commercially relevant
Translating complex analytical outputs into clear, actionable insights for non-technical stakeholders across planning, merchandising, and commercial functions
Here are some of the things you could be working on in the future:
Expanding your modelling scope across additional categories, channels, or regions as Arc’teryx continues to grow its analytical and planning capabilities
Contributing to the development of enterprise-level forecasting frameworks and automation infrastructure that benefits the broader planning organization
Are you our next Senior Demand Forecast Analyst - NAM?
You have a bachelor’s degree in Statistics, Data Science, Mathematics, Business Analytics, or a related field
You have 5+ years of experience in Forecasting, Data Science, or Advanced Analytics, with a strong background in statistical forecasting and predictive modelling
You are proficient in Python, R Studio, and/or SQL
You have hands‑on experience with forecasting techniques including Autoregressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), and Exponential Smoothing (ETS)
You have experience working with large, complex datasets and bring strong data visualization skills to communicate your findings clearly and compellingly
You have a strong understanding of retail KPIs including forecast accuracy, bias, sell-through,…

Position Requirements

10+ Years work experience
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