About Big Viking GamesBig Viking Games is a Canadian gaming company focused on building, operating, and growing engaging online game experiences. Our teams work across product, technology, live operations, monetization, player experience, and content to create games and communities that last.We are entering a new phase of growth and modernization, with a focus on stronger data visibility, better decision‐making, improved operational discipline, and practical adoption of AI across the business.This is a hybrid role with three (3) days in office.About The RoleWe are creating a new Head of Data Science & Analytics role to build and lead the data function across Big Viking Games. This is a hands‐on leadership role for someone who can operate strategically, but also roll up their sleeves and personally build the analytics foundation.The right person will be comfortable working as a solo operator at first, owning the work directly before building out the team over time. This role will be responsible for transforming raw data into actionable insights that improve decision‐making across product, live operations, monetization, marketing, finance, player experience, and executive leadership.We are also looking for someone who understands how modern AI can materially improve analytics, workflows, reporting, automation, and productivity. Experience implementing AI tools, agentic workflows, copilots, or automation systems will be highly valued.This is a newly‐created role with significant opportunity to shape the data strategy, operating model, tooling, reporting structure, and future team.ResponsibilitiesBuild and own the company's data science and analytics function from the ground upPartner with executive leadership, product, live operations, marketing, finance, and technology teams to turn business questions into clear insights, recommendations, and action plansDevelop the core analytics roadmap across player behavior, retention, engagement, monetization, game health, content performance, live operations, user segmentation, forecasting, and business performancePersonally perform hands‐on analysis, including SQL querying, dashboarding, data modeling, KPI development, reporting, statistical analysis, and business case developmentImprove the quality, consistency, and reliability of company metrics, reporting, and data definitionsIdentify gaps in data collection, instrumentation, data architecture, reporting,



and operational visibilityPartner with engineering and data stakeholders to improve data pipelines, data quality, data governance, and access to trusted datasetsDesign dashboards and executive reporting that help leaders understand what is happening, why it is happening, and what should be done nextLead analysis on player lifecycle, cohort behavior, monetization trends, feature performance, content performance, game economy, and live‐service operationsSupport experimentation, A/B testing, measurement frameworks, and decision‐ready analysis for product and business initiativesImplement practical AI‐driven solutions to accelerate analytics workflows, automate repetitive reporting, improve insight generation, and support better business decisionsExplore and deploy AI agents, copilots, workflow automations, and other tools that improve productivity across analytics, operations, product, and leadership reportingEstablish best practices for responsible AI use, data privacy, analytical rigor, documentation, and repeatable workflowsOver time, hire, coach, and lead a high‐performing data science, analytics, and/or BI teamRequirements & Qualifications8+ years of experience in data science, analytics, business intelligence, product analytics, or a related data disciplineExperience operating in a gaming, digital product, SaaS, consumer technology, marketplace, or live‐service environmentStrong hands‐on analytical skills, including advanced SQL and experience with Python, R, or similar analytical toolsProven ability to translate ambiguous business problems into structured analysis, clear recommendations, and executive‐level narrativesExperience building dashboards, reports, KPI frameworks, and decision‐support tools for senior leadershipStrong understanding of product analytics, user behavior, retention, engagement, monetization, segmentation, cohort analysis, forecasting, and experimentationExperience working with data engineering, product, finance, marketing, and executive teamsExperience implementing or adopting AI tools, GenAI, copilots, agentic workflows, workflow automation,



or AI‐enabled analytics processesAbility to operate independently in a hands‐on capacity before a larger team is builtStrong communication skills, with the ability to explain complex analysis in transparent business languageDemonstrated ability to build structure in an environment where data, processes, tooling, or reporting may still be maturingNice to HavesExperience with Snowflake or similar modern cloud data platformsExperience with gaming analytics, live‐service games, virtual economies, content performance, player segmentation, in‐game monetization, or player lifecycle analyticsExperience with BI tools such as Looker, Tableau, Power BI, Sigma, Mode, Metabase, or similar platformsExperience with dbt, data modeling, data governance, experimentation platforms, or modern analytics engineering practicesExperience building AI agents or automated workflows using tools such as ChatGPT, Claude, LangChain, Zapier, Make, n8n, Retool, or internal workflow automation toolsExperience building a data function, hiring analysts, or scaling a small data teamIdeal Candidate ProfileThe 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.CompensationThe expected compensation range for this role is based on experience, qualifications, and overall fit.BenefitsComprehensive benefits package (health, dental, and vision) including HSA/WSA spending account from Day 1Participation in the Employee Stock Option Plan (ESOP)RRSP participation and matching15 Vacation Days + 10 Wellness DaysBig Viking Games is committed to creating an inclusive and accessible environment for all candidates. We welcome applications from individuals of all abilities and will provide accommodations throughout the hiring process as needed. If you require any accommodations, please email so we can work with you to support your needs. #J-18808-Ljbffr

📌 Head Of Data Science & Analytics (Toronto)
🏢 Big Viking Games
📍 Toronto