Staff Product Data Analyst

Important: This a full-time, hybrid role for Ontario-based employees only. The successful candidate will be required to work from our Toronto office (Queens Quay West) for a minimum of 3 days per week.

About Us:

Making fans - That’s what we’re all about! Since our humble beginnings in 2011, these two words have driven Big Viking Games to become the successful company it is today. We are focused on making our mark as a next-generation, live operations games company.

We believe that each Viking is unique and brings exponential value to the company. In return, we provide Vikings with the opportunity to solve problems through continuous learning and fostering feedback, ultimately mastering their craft. By investing in our Vikings and in new technologies, we can continue our success for years to come.

We are embarking on an adventure and rely on our team of skilled, enthusiastic, and collaborative Vikings to turn our ship towards a new horizon.

About the Role:

Big Viking Games is looking for a Staff Product Data Analyst to join our team and own analytics for our flagship titles—YoWorld and FishWorld. Embedded within our cross-functional product pods, you’ll partner with Product, Marketing, FP&A and Data to: evaluate player behaviour, refine monetization strategies, and architect predictive models, revenue forecasts, and agentic workflows that automate key live-ops processes.

Reporting into the Product org, this Staff-level role is ideal for someone who thrives in a fast-paced, hypothesis-driven environment and wants their dashboards, forecasts and automation to directly impact millions of players.

You’ll help drive smarter decisions across roadmap planning, feature development, campaign performance, and in-game economy optimization—while championing first-principles analytics, machine-learning pipelines, and self-serve data automation.

What You'll Do:

• End-to-end analytics & modelling
  • Build and maintain dashboards (DAU, player spend, content performance, pricing effectiveness) for stakeholders across Product, Marketing and Finance.
  • Analyze player behaviour, campaign performance and monetization trends to inform roadmap and live-ops tuning.
  • Develop predictive models and forecasting pipelines (e.g. adoption curves, revenue projections, churn risk) using first-principles thinking.
    
• Impact & experimentation
  • Lead A/B test design, impact analysis and lift measurement for Gem Events, Challenges, Reactivation Offers and new gameplay features (ex. SplashO, Storylines).
  • Partner with FP&A to quantify cost savings and migration impacts
    
• Automation & scalability
  
  • Identify inefficiencies in IAP config, asset throughput and content velocity—recommend and build agentic workflows to streamline campaign planning and delivery.
  • Collaborate with Data Engineering to operationalize data pipelines, enable self-serve analytics and embed predictive insights into product dashboards.
    
• Cross-functional thought partnership
  • Translate complex quantitative findings into clear, actionable recommendations for PMs, engineers and live-ops leads.
  • Evangelize next-gen analytics best practices, mentor junior analysts and shape our data-driven culture.