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Arc'teryx Equipment

High-performance outdoor apparel and gear

Senior Demand Forecast Analyst

Data ScienceConfirmed live in the last 24 hours
Full-timeNorth Vancouver, BC, Canada

About the Job

Requirements

  • A bachelor's degree in Statistics, Data Science, Mathematics, Business Analytics, or a related field is required.
  • At least 5 years of experience in forecasting, data science, or advanced analytics, with a strong background in statistical forecasting and predictive modelling is required.
  • Proficiency in Python, R Studio, and/or SQL is required.
  • Hands-on experience with forecasting techniques including Autoregressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), and Exponential Smoothing (ETS) is required.
  • Experience working with large, complex datasets and strong data visualization skills to communicate findings clearly and compellingly are required.
  • A strong understanding of retail key performance indicators, including forecast accuracy, bias, sell-through, and weeks of stock, and the ability to apply a commercial perspective to modelling are required.
  • The ability to translate complex data into actionable business insights and communicate technical concepts clearly and confidently to non-technical stakeholders is required.
  • Experience automating forecasting processes, reducing manual intervention, and continuously improving the quality and reliability of demand signals is required.
  • The ability to partner effectively with demand planning teams and balance model output with business context is required.
  • Experience mentoring and developing others, and sharing specialized knowledge to support team growth and build capability, is required.

Responsibilities

  • Develop and maintain statistical forecasting models, enhance baseline forecast generation, and evaluate and implement new forecasting techniques.
  • Improve forecast accuracy by identifying patterns, trends, and demand drivers, and continuously evolve modelling approaches to strengthen the demand signal.
  • Drive automation and process improvement to reduce manual overrides, and report on and visualize data to communicate findings to planning and commercial partners.
  • Partner with demand planning teams to improve forecast adoption, balancing model output with business context to ensure forecasts are technically sound and commercially relevant.
  • Translate complex analytical outputs into clear, actionable insights for non-technical stakeholders across planning, merchandising, and commercial functions.
  • Expand modelling scope across additional categories, channels, or regions as analytical and planning capabilities grow.
  • Contribute to enterprise-level forecasting frameworks and automation infrastructure that benefit the broader planning organization.

About the Company

Arc'teryx Equipment

High-performance outdoor apparel and gear

Arc’teryx designs and sells premium outdoor clothing and gear for activities like mountain running, hiking, and climbing. Its product range includes jackets, pants, footwear, and accessories for men and women, sold through its website, own stores, and selected outdoor retailers. The gear emphasizes technical performance and durable materials to perform in extreme conditions, with seasonal launches such as lighter mountain-running gear. The company differentiates itself through meticulous design, advanced materials, and a direct-to-consumer plus wholesale model, paired with a strong reputation for quality. Its goal is to equip adventure enthusiasts with reliable, high-performance equipment and to foster a sense of community around outdoor activity, as seen in initiatives like Muslim Hikers.

Company size
1,001-5,000
Company stage
M&A
Total funding
Not listed
Headquarters
Vancouver, Canada
Founded
1989

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