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Face to Face Games

Analyste de données senior // Senior Data Analyst

Montreal, QC, H4E 1A8, Canada

$80,000 to $100,000 CAD / week · Full-time

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Job details

Pay: $80,000 to $100,000 CAD / week
Job type: Full-time
Posting language: English · French
Posted: Oct 13, 2026

Original job description

English section of this bilingual listing.

Location: Montréal, hybrid - minimum three days per week on site Employment type: Full-time, salaried Compensation: $80,000–$100,000 CAD annually, plus participation in the company bonus pool

About Face to Face Games

At Face to Face Games, we’re a devoted team of enthusiastic individuals on a mission to craft unforgettable experiences and cultivate a thriving community of gamers. As Canada’s leading full-service trading card game company, we actively engage with our customers by:

Purchasing and selling trading card game products and supplies.
Organizing trading card game events across Canada through the F2F Tour.
Managing our retail locations to better serve our gaming community.

We’re seeking an analytical and commercially minded Senior Data Analyst to help maximize the profitability of our Magic: The Gathering inventory. You’ll turn sales, inventory, and marketplace data into pricing models, actionable reporting, and recommendations that improve buying and selling decisions.

As part of our newly forming data team, you’ll take ownership of pricing for the core of our Magic inventory and play a central role in rebuilding our pricing algorithm. This is a senior individual contributor position with substantial ownership of your work and responsibility for setting strong analytical standards within the team.

Key Responsibilities

Manage buylist and selling prices for our core Magic: The Gathering inventory within approved pricing guidelines, working alongside specialists responsible for high-end cards and new releases.
Document and evaluate our current pricing algorithm, measure its performance against realized margins, and develop, test, and implement approved improvements.
Combine external marketplace data with internal sales, inventory, buying, and demand patterns to identify pricing opportunities and recommend changes.
Develop and maintain the process for selecting cards for our hotlist, which highlights cards we are actively seeking to buy, and track purchasing results.
Identify pricing inconsistencies across marketplaces and between sealed products and singles, helping the team assess opportunities to move inventory between channels or open and repackage products profitably.
Build and maintain quarterly reporting on margins and capital invested in inventory by product class, set, and sales channel to support leadership’s investment decisions.
Create clear visualizations and explain findings, assumptions, and recommendations to colleagues and leaders who do not have a technical background.
Establish practical standards for building, testing, documenting, and validating analytical models.
Collaborate with pricing specialists, purchasing, data operations, and Technology to turn analysis into reliable day-to-day processes.
Provide a short weekly written update on pricing and algorithm changes, results, and next priorities, and focus your work on the opportunities with the greatest business value.

Required Skills and Qualifications

Ability to work with large volumes of raw transactional data, build analytical models, test their assumptions, and explain and defend the results.
Proficiency with modern data analysis and AI tools, with sound judgment about validating their outputs and selecting the right approach for the problem.
Strong data visualization skills and the ability to turn complex datasets into reporting that supports practical business decisions.
Working knowledge of the Magic: The Gathering secondary market and the factors that influence card prices.
Excellent written communication skills, including the ability to clearly explain methodology, findings, and recommendations.
Strong analytical judgment, attention to detail, and an understanding of how pricing decisions affect margins and inventory profitability.
Ability to prioritize independently, take ownership of open-ended problems, and collaborate with colleagues across different specialties.
Willingness to quickly learn our ERP and internal systems.

Preferred Skills and Qualifications

A background in finance or a quantitative discipline.
Experience analyzing ERP, POS, or ecommerce data in a retail environment.

What We Offer

A competitive base salary and participation in the company bonus pool, with performance expectations established jointly within your first three months.
A hybrid schedule with a minimum of three days per week at our Montréal office.
Benefits including health, dental, group RRSP with employer contribution match, and employee discount.
A collaborative and supportive work environment.
The opportunity to shape our pricing models and analytical practices as we build our data team.
Meaningful ownership and an opportunity to shape your own role at a fast-growing Canadian small business.

Face to Face Games is an equal-opportunity employer. We welcome applications from candidates of all backgrounds.

Read the full bilingual original

Analyste de données senior

Lieu : Montréal, mode hybride - au moins trois jours par semaine sur place Type d’emploi : Temps plein, poste salarié Rémunération : De 80 000 $ à 100 000 $ CA par année, avec participation au programme de primes de l’entreprise

À propos de Jeux Face à Face

Chez Jeux Face à Face, nous sommes une équipe passionnée qui a pour mission de créer des expériences mémorables et de faire grandir une communauté dynamique de joueurs. En tant que principale entreprise canadienne offrant des services complets dans le domaine des jeux de cartes à collectionner, nous interagissons activement avec notre clientèle en :

Achetant et vendant des produits et accessoires de jeux de cartes à collectionner.
Organisant des événements de jeux de cartes à collectionner partout au Canada par l’entremise du F2F Tour.
Gérant nos points de vente afin de mieux servir notre communauté de joueurs.

Nous recherchons une personne analytique, dotée d’un bon sens des affaires, pour occuper le poste d’analyste de données senior et contribuer à maximiser la rentabilité de nos stocks de Magic: The Gathering. Vous transformerez les données de ventes, de stocks et de marché en modèles de tarification, en rapports utiles et en recommandations qui amélioreront nos décisions d’achat et de vente.

Au sein de notre équipe de données en cours de formation, vous prendrez en charge la tarification de la majeure partie de nos stocks de Magic et jouerez un rôle central dans la refonte de notre algorithme de tarification. Il s’agit d’un poste senior sans responsabilité de gestion de personnel, offrant une grande autonomie et la responsabilité d’établir des normes d’analyse rigoureuses au sein de l’équipe.

Principales responsabilités

Gérer les prix d’achat et de vente de la majeure partie de nos stocks de Magic: The Gathering selon les paramètres approuvés, en collaboration avec les spécialistes responsables des cartes haut de gamme et des nouvelles sorties.
Documenter et évaluer notre algorithme de tarification actuel, mesurer son rendement par rapport aux marges réalisées, puis concevoir, tester et mettre en œuvre les améliorations approuvées.
Combiner les données des plateformes de vente externes avec nos données internes de ventes, de stocks, d’achats et de demande afin de repérer les occasions d’améliorer la tarification et de recommander des changements.
Élaborer et maintenir le processus de sélection des cartes figurant sur notre liste d’achats prioritaires (« hotlist »), puis suivre les résultats des achats.
Repérer les incohérences de prix entre les plateformes de vente ainsi qu’entre les produits scellés et les cartes à l’unité, afin d’aider l’équipe à évaluer les occasions rentables de transférer des stocks entre les canaux de vente, d’ouvrir des produits ou de les reconditionner.
Élaborer et maintenir des rapports trimestriels sur les marges et le capital investi dans les stocks, par catégorie de produits, extension et canal de vente, pour appuyer les décisions d’investissement de la direction.
Créer des visualisations claires et expliquer les résultats, les hypothèses et les recommandations à des collègues et à des membres de la direction sans formation technique.
Établir des normes pratiques pour la conception, les tests, la documentation et la validation des modèles d’analyse.
Collaborer avec les spécialistes de la tarification, les achats, les opérations de données et l’équipe Technologie afin de transformer les analyses en processus quotidiens fiables.
Fournir un bref compte rendu écrit chaque semaine sur les changements apportés aux prix et à l’algorithme, les résultats obtenus et les prochaines priorités, en concentrant vos efforts sur les occasions ayant le plus de valeur pour l’entreprise.

Compétences et qualifications requises

Capacité à traiter de grands volumes de données transactionnelles brutes, à construire des modèles d’analyse, à tester leurs hypothèses et à expliquer et justifier les résultats.
Maîtrise des outils modernes d’analyse de données et d’intelligence artificielle, avec le jugement nécessaire pour valider leurs résultats et choisir l’approche adaptée au problème.
Solides compétences en visualisation de données et capacité à transformer des ensembles de données complexes en rapports qui appuient des décisions concrètes.
Connaissance pratique du marché secondaire de Magic: The Gathering et des facteurs qui influencent le prix des cartes.
Excellentes compétences en communication écrite, notamment pour expliquer clairement les méthodes, les résultats et les recommandations.
Bon jugement analytique, souci du détail et compréhension de l’incidence des décisions de tarification sur les marges et la rentabilité des stocks.
Capacité à établir ses priorités de manière autonome, à prendre en charge des problèmes dont la solution reste à définir et à collaborer avec des collègues de différentes spécialités.
Volonté d’apprendre rapidement à utiliser notre système ERP et nos systèmes internes.
La maîtrise de l’anglais est requise pour communiquer avec les parties prenantes situées dans d’autres provinces et pays.

Compétences et qualifications souhaitées

Formation ou expérience en finance ou dans une discipline quantitative.
Expérience d’analyse de données provenant de systèmes ERP, de points de vente ou de commerce électronique dans un contexte de vente au détail.

Ce que nous offrons

Un salaire de base concurrentiel et une participation au programme de primes de l’entreprise, avec des attentes de rendement établies conjointement au cours de vos trois premiers mois.
Un horaire hybride prévoyant au moins trois jours par semaine à notre bureau de Montréal.
Des avantages sociaux comprenant une assurance maladie et dentaire, un REER collectif avec cotisation équivalente de l’employeur et un rabais employé.
Un environnement de travail collaboratif où l’entraide est valorisée.
La possibilité de façonner nos modèles de tarification et nos pratiques d’analyse pendant la mise en place de notre équipe de données.
Une réelle autonomie et la possibilité de façonner votre propre rôle au sein d’une petite entreprise canadienne en forte croissance.

Jeux Face à Face souscrit au principe de l’égalité d’accès à l’emploi. Nous accueillons les candidatures de personnes de tous horizons.

###

Senior Data Analyst

Location: Montréal, hybrid - minimum three days per week on site Employment type: Full-time, salaried Compensation: $80,000–$100,000 CAD annually, plus participation in the company bonus pool

About Face to Face Games

Purchasing and selling trading card game products and supplies.
Organizing trading card game events across Canada through the F2F Tour.
Managing our retail locations to better serve our gaming community.

Key Responsibilities

Manage buylist and selling prices for our core Magic: The Gathering inventory within approved pricing guidelines, working alongside specialists responsible for high-end cards and new releases.
Document and evaluate our current pricing algorithm, measure its performance against realized margins, and develop, test, and implement approved improvements.
Combine external marketplace data with internal sales, inventory, buying, and demand patterns to identify pricing opportunities and recommend changes.
Develop and maintain the process for selecting cards for our hotlist, which highlights cards we are actively seeking to buy, and track purchasing results.
Identify pricing inconsistencies across marketplaces and between sealed products and singles, helping the team assess opportunities to move inventory between channels or open and repackage products profitably.
Build and maintain quarterly reporting on margins and capital invested in inventory by product class, set, and sales channel to support leadership’s investment decisions.
Create clear visualizations and explain findings, assumptions, and recommendations to colleagues and leaders who do not have a technical background.
Establish practical standards for building, testing, documenting, and validating analytical models.
Collaborate with pricing specialists, purchasing, data operations, and Technology to turn analysis into reliable day-to-day processes.
Provide a short weekly written update on pricing and algorithm changes, results, and next priorities, and focus your work on the opportunities with the greatest business value.

Required Skills and Qualifications

Ability to work with large volumes of raw transactional data, build analytical models, test their assumptions, and explain and defend the results.
Proficiency with modern data analysis and AI tools, with sound judgment about validating their outputs and selecting the right approach for the problem.
Strong data visualization skills and the ability to turn complex datasets into reporting that supports practical business decisions.
Working knowledge of the Magic: The Gathering secondary market and the factors that influence card prices.
Excellent written communication skills, including the ability to clearly explain methodology, findings, and recommendations.
Strong analytical judgment, attention to detail, and an understanding of how pricing decisions affect margins and inventory profitability.
Ability to prioritize independently, take ownership of open-ended problems, and collaborate with colleagues across different specialties.
Willingness to quickly learn our ERP and internal systems.

Preferred Skills and Qualifications

A background in finance or a quantitative discipline.
Experience analyzing ERP, POS, or ecommerce data in a retail environment.

What We Offer

A competitive base salary and participation in the company bonus pool, with performance expectations established jointly within your first three months.
A hybrid schedule with a minimum of three days per week at our Montréal office.
Benefits including health, dental, group RRSP with employer contribution match, and employee discount.
A collaborative and supportive work environment.
The opportunity to shape our pricing models and analytical practices as we build our data team.
Meaningful ownership and an opportunity to shape your own role at a fast-growing Canadian small business.

Face to Face Games is an equal-opportunity employer. We welcome applications from candidates of all backgrounds.

Apply About employer

More about this job

Responsibilities

The Senior Data Analyst will manage pricing for Magic: The Gathering inventory and lead the redesign of the company's pricing algorithm. They will also develop analytical models, create performance reports, and provide actionable recommendations to optimize buying and selling decisions.

Requirements

Candidates must have experience working with large transactional datasets, building analytical models, and proficiency in modern data analysis tools. A strong understanding of the Magic: The Gathering secondary market and excellent communication skills are required to translate complex data into business insights.

Skills

Data analysis
Pricing strategy
Financial modeling
Data visualization
Magic: The Gathering market knowledge
Algorithm development
Inventory management
SQL
ERP systems
Business intelligence
Statistical modeling
Reporting
Analytical judgment
Communication
Problem solving

Benefits

Health insurance
Dental insurance
Group RRSP
Employer contribution match
Employee discount
Bonus program

Visa sponsorship

Not detected in the job text

Keywords

Data Analysis
Pricing Algorithm
Magic: The Gathering
Inventory Management
Financial Modeling
Retail
ERP
Business Intelligence
Data Visualization
Marketplace Data
Trading Card Games
Profitability Analysis
Quantitative Analysis
Sales Data
Hotlist
Margin Analysis
E-commerce
Point of Sale
Analytical Modeling
Strategy

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