Head of Data Science & Analytics

Join Big Viking Games, a Canadian gaming company focused on creating engaging online game experiences. As the Head of Data Science & Analytics, you will build and lead the data function, transforming raw data into actionable insights that improve decision-making across various departments. This is a hands-on leadership role with significant opportunities to shape the data strategy and future team.

• Construire et diriger la fonction de science des données et d'analyse de l'entreprise, en transformant les données brutes en informations exploitables.
• Collaborer avec les équipes exécutives et opérationnelles pour répondre aux questions commerciales et formuler des recommandations claires.
• Améliorer la qualité, la cohérence et la fiabilité des métriques, des rapports et des définitions des données de l'entreprise.
• Ability to operate independently in a hands-on capacity before a larger team is built
• Strong communication skills, with the ability to explain complex analysis in clear business language
• Experience building dashboards, reports, KPI frameworks, and decision-support tools for senior leadership
• 8+ years of experience in data science, analytics, business intelligence, product analytics, or a related data discipline
• Experience working with data engineering, product, finance, marketing, and executive teams
• Proven ability to translate ambiguous business problems into structured analysis, clear recommendations, and executive-level narratives
• Experience implementing or adopting AI tools, GenAI, copilots, agentic workflows, workflow automation, or AI-enabled analytics processes
• Demonstrated ability to build structure in an environment where data, processes, tooling, or reporting may still be maturing
• Experience operating in a gaming, digital product, SaaS, consumer technology, marketplace, or live-service environment
• Strong understanding of product analytics, user behavior, retention, engagement, monetization, segmentation, cohort analysis, forecasting, and experimentation
• Strong hands-on analytical skills, including advanced SQL and experience with Python, R, or similar analytical tools
• Experience with Snowflake or similar modern cloud data platforms
• Experience with gaming analytics, live-service games, virtual economies, content performance, player segmentation, in-game monetization, or player lifecycle analytics
• Experience with BI tools such as Looker, Tableau, Power BI, Sigma, Mode, Metabase, or similar platforms
• Experience with dbt, data modeling, data governance, experimentation platforms, or modern analytics engineering practices
• Experience building AI agents or automated workflows using tools such as ChatGPT, Claude, LangChain, Zapier, Make, n8n, Retool, or internal workflow automation tools
• Experience building a data function, hiring analysts, or scaling a small data team
• The ideal candidate is a builder, not just a manager. They have the seniority to set strategy and influence executives, but the humility and capability to do the work themselves
• They are commercially minded, technically credible, and comfortable working in an environment where they may need to create structure from ambiguity
• They understand that analytics is not just reporting. It is a decision-making function. They can identify what matters, build the systems to measure it, explain what the data means, and help the business act on it
• They are also forward-looking in how they use AI. They should be able to bring practical, usable AI adoption into the company, not just talk about it conceptually