Data Analyst

Ubisoft; Montreal (administrative region); On-site; CAD 65,000 - 100,000; Full time

Job summary

Ubisoft recherche un/une Data Analyst, Audience Analytics, pour devenir le/la principal(e) propriétaire analytique de plusieurs franchises majeures. Vous collectez et analysez les données clients, collaborez avec les équipes production et marketing et traduisez les résultats en recommandations stratégiques influant sur l'engagement et la vie du jeu.

Vous aurez à concevoir des modèles de segmentation, exploiter les outils analytiques et assurer une communication claire des insights aux parties

Qualifications

• Master is preferé — Marketing, Marketing Research, Statistiques ou Econométrie.
• 2+ années d'expérience comme data analyste.
• Maîtrise de SQL et Python pour l'analyse de données.

Responsibilities

• Posséder les projets analytiques de bout en bout: scope, plan, exécution et livraison.
• Analyser les données clients pour obtenir des insights et soutenir les décisions.
• Concevoir des modèles de clustering pour définir les profils d'audience.

Skills

SQL

Python

Clustering/Segmentation

Gestion de projets

Analyse approfondie

Statistiques quanti

Plateformes lakehouse

Proactivité

Communication écrite/orale

Education

Master/MBA en Marketing ou Marketing Research ou Statistiques ou Econométrie

Tools

Databricks

Snowflake

Job description

Description De L'entreprise

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Description Du Poste

The Data Analyst, Audience Analytics, will be the main analytics owner of several major game franchises, responsible for gathering and analyzing customer data across their portfolio and answering all kinds of analytics questions from business and marketing stakeholders. Working closely with production and marketing teams, you will provide clear insights about consumer behaviors, drive strategic recommendations, and support audience‑centric projects throughout the entire life cycle of a game, across acquisition, retention, brand circulation, and more. You will be a key decision driver, translating data into actionable directions that directly shape how teams engage with their players.

Description De L'entreprise

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Description Du Poste

The Data Analyst, Audience Analytics, will be the main analytics owner of several major game franchises, responsible for gathering and analyzing customer data across their portfolio and answering all kinds of analytics questions from business and marketing stakeholders. Working closely with production and marketing teams, you will provide clear insights about consumer behaviors, drive strategic recommendations, and support audience‑centric projects throughout the entire life cycle of a game, across acquisition, retention, brand circulation, and more. You will be a key decision driver, translating data into actionable directions that directly shape how teams engage with their players.

What You'll Do

Analytics

• Create, manage and distribute data and insights utilizing analytics tools (SQL, Python)
• Analyze customer data to gather knowledge, generate insights, create value and support decision‑making
• Design and build player clustering models to define and refine audience profiles across the game lifecycle
• Maintain and update audience segmentations to ensure relevance as player behaviors and business contexts evolve
• Support brand circulation strategies by identifying cross‑game audience overlaps and player migration patterns
• Identify levers of audience segmentation, monitor their evolutions and their impact on business KPIs
• Apply a variety of visualization techniques and design the content and appearance of data visuals

Project Management & Collaboration

• Own end‑to‑end analytical projects: scope, plan, execute and deliver, ensuring stakeholders are aligned throughout
• Track project progress, communicate status and manage priorities across multiple concurrent workstreams
• Translate business questions and challenges from stakeholders into Audience Analytics projects
• Be the main point of contact of the stakeholder teams; understand the brand and marketing objectives and the major initiatives; identify the most relevant methodology to answer the need; deliver insights
• Conduct meetings and coordinate different interlocutors (finance, research, marketing, …)
• Work closely with CRM and media teams, understand their technical environment and constraints, propose an adapted approach to their operational needs
• Provide strategic audience recommendations to stakeholders

Qualifications

WHAT YOU'LL BRING

• Master’s degree (MA/MBA) preferred — Marketing, Marketing Research, Statistics, or Econometrics
• 2+ years of experience as a data analyst
• Proficiency in SQL and Python for data analysis
• Experience with clustering and segmentation methods (k-means, hierarchical clustering, RFM, or similar)
• Strong project management skills: ability to track multiple workstreams, manage timelines and communicate progress clearly
• Strong analytical and synthesis skills; ability to analyze raw data, draw conclusions, and develop actionable and strategic recommendations
• Strong quantitative skills, and experience utilizing scientific analytic methods and quantitative analysis techniques
• Experience working with lakehouse data platforms (Databricks, Snowflake, or similar) is a plus
• Proactivity and creativity with data
• Demonstrated success presenting complex qualitative and quantitative data in a clear and compelling manner
• Naturally curious, analytics‑driven mindset; comfortable challenging assumptions
• Excellent written and oral communication skills