Job Opportunities API

About Big Viking Games Big 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 Role We 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. Responsibilities ·         Build and own the company’s data science and analytics function from the ground up. ·         Partner with executive leadership, product, live operations, marketing, finance, and technology teams to turn business questions into clear insights, recommendations, and action plans. ·         Develop the core analytics roadmap across player behavior, retention, engagement, monetization, game health, content performance, live operations, user segmentation, forecasting, and business performance. ·         Personally perform hands-on analysis, including SQL querying, dashboarding, data modeling, KPI development, reporting, statistical analysis, and business case development. ·         Improve the quality, consistency, and reliability of company metrics, reporting, and data definitions. ·         Identify gaps in data collection, instrumentation, data architecture, reporting, and operational visibility. ·         Partner with engineering and data stakeholders to improve data pipelines, data quality, data governance, and access to trusted datasets. ·         Design dashboards and executive reporting that help leaders understand what is happening, why it is happening, and what should be done next. ·         Lead analysis on player lifecycle, cohort behavior, monetization trends, feature performance, content performance, game economy, and live-service operations. ·         Support experimentation, A/B testing, measurement frameworks, and decision-ready analysis for product and business initiatives. ·         Implement practical AI-driven solutions to accelerate analytics workflows, automate repetitive reporting, improve insight generation, and support better business decisions. ·         Explore and deploy AI agents, copilots, workflow automations, and other tools that improve productivity across analytics