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Senior Demand Forecast Analyst - NAM
Arc'teryx Equipment
North Vancouver, BC
- Full-time
You are proficient in Python, R Studio, and/or SQL
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Arc'teryx Equipment

Senior Demand Forecast Analyst - NAM

North Vancouver, BC, Canada

Compensation:The salary range for the role is CAD$94,000 - CAD$124,000 · Full-time

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Job details

Pay: Compensation:The salary range for the role is CAD$94,000 - CAD$124,000
Job type: Full-time
Apply by: Dec 5, 2026
Experience: You have 5+ years of experience in Forecasting, Data Science, or Advanced Analytics, with a strong background in statistical forecasting and predictive modelling
Posting language: English
Posted: Nov 5, 2026

Original job description

Department: Regional Supply Chain – NAM

Capability: DTC Planning & Allocations - NAM

Location: North Vancouver, Hybrid

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.

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, and weeks of stock, and you apply that commercial lens to make your models more relevant to the business
You translate complex data into actionable business insights, and you communicate technical concepts to non-technical stakeholders with clarity and confidence
You are experienced in automating forecasting processes, reducing manual intervention, and continuously improving the quality and reliability of demand signals
You partner effectively with demand planning teams, balance model output with business context, and bring a curious, improvement-oriented mindset to everything you build
You have experience mentoring and developing others, sharing specialized knowledge to support team growth and build capability within your area

Compensation:The salary range for the role is CAD$94,000 - CAD$124,000

Total Rewards

Most new team members join between the start and midpoint of the range, where you can contribute right away while continuing to grow your craft, your collaborations, and your impact at Arc’teryx. This range reflects market alignment and the scope of the role. Individual pay is determined by your skills, experience, and level of responsibility.

We’re committed to fair, equitable, and competitive pay, reviewed regularly to ensure internal alignment and market relevance. Transparency is part of how we follow through on our commitments and how we honour the value you bring to our team.

In addition to base pay, Arc’teryx supports people through benefits designed to sustain both work and life:

Health & wellbeing - Extended health, dental, and vision coverage, including mental health support, fertility benefits, gender-affirming care and a 24/7 Employee Assistance Program (EAP).
Financial wellbeing - RRSP matching and eligibility for Arc'teryx Annual Incentive Plan and access to Employee Stock Purchase program (ESPP) where applicable.
Time & Flexibility - Paid time off, wellness time, and No Wasted Day program (dedicated paid days to get outside & explore).
Family support - Parental leave top-up and a nesting period for new parents.
Growth, community & gear - Professional development opportunities, Arc'teryx Academies (outdoor skill-building events), Employee Belonging Councils, and access to employee discounts and Pro Deals (exclusive discounted pricing on gear).
*Eligibility for certain programs may vary by role.

Equal Opportunity

Arc’teryx is committed to actively creating and fostering a culture of inclusivity where voices are heard, people are seen, and values are respected. We care about the uniqueness of our applicants, employees, and guests, and we do so in a safe space fueled by curiosity and acceptance.

Creating an inclusive workplace is connected to our core value Do Right while also having the added benefit of helping make our business better. We believe inclusion helps us to create a healthier, happier workplace, drive creativity and innovation, and reflect the communities where we operate.

All applicants, employees, and guests can expect equality of opportunity and fair treatment in alignment with our values.

Leave it Better

We believe that the mountains transform us, that how we adventure matters, and that there’s always a better way.

Join us in creating positive change in ourselves, our communities, and the world.

Live it. Get out there - the mountains make us better
Disruptive evolution. In pursuit of better. Always.
Commit. We set bold objectives and see them through.

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More about this job

Responsibilities

Develop and improve statistical forecasting models, evaluate forecasting techniques, and automate processes to strengthen demand signals and reduce manual intervention. Partner with demand planning and commercial teams to improve forecast adoption and translate analytical outputs into actionable business insights.

Requirements

Requires a bachelor’s degree in Statistics, Data Science, Mathematics, Business Analytics, or a related field, plus 5 or more years of experience in forecasting, data science, or advanced analytics. Candidates should have strong statistical forecasting and predictive modeling experience, proficiency in Python, R, and/or SQL, knowledge of ARIMA, SARIMA, and ETS, and the ability to communicate insights and mentor others.

Skills

Statistical Forecasting
Predictive Modeling
Python
R
SQL
ARIMA
SARIMA
Exponential Smoothing
Data Visualization
Forecast Accuracy Analysis
Retail KPI Analysis
Forecast Automation
Demand Planning
Stakeholder Communication
Process Improvement
Mentoring

Benefits

Extended Health Coverage
Dental Coverage
Vision Coverage
Mental Health Support
Fertility Benefits
Gender-Affirming Care
Employee Assistance Program
RRSP Matching
Annual Incentive Plan
Employee Stock Purchase Program
Paid Time Off
Wellness Time
Paid Outdoor Days
Parental Leave Top-Up
Professional Development
Outdoor Skill-Building Events
Employee Discounts
Pro Deals

Visa sponsorship

Not detected in the job text

Keywords

Demand Forecasting
Statistical Forecasting
Predictive Modeling
Python
R
SQL
ARIMA
SARIMA
Exponential Smoothing
Baseline Forecasting
Forecast Accuracy
Forecast Bias
Sell-Through
Weeks of Stock
Demand Planning
Inventory Planning
Allocations
Retail
E-Commerce
Data Visualization
Large Datasets
Forecast Automation
Process Improvement
Demand Signals
Commercial Planning
Replenishment
In-Season Decisions
Stakeholder Communication
Mentoring

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