Staff Product Data Analyst, Big Viking Games

• 6+ years in product, business or game analytics—ideally in mobile or live-ops gaming
• Expert SQL skills; ability to wrangle messy data into clean, performant datasets
• Proficiency in Python or R and experience with ML libraries (scikit-learn, TensorFlow, etc.)
• Hands-on experience building and maintaining BI dashboards (Looker, Tableau, Power BI or similar)
• Ability to blend descriptive analytics (“What happened? Why?”) with predictive insight (“What will happen? How can we optimize?”)
• Proven track record applying first-principles thinking to build and validate forecasting and predictive models that drove measurable product or revenue impact (validating assumptions, testing holdout samples, iterating on feature engineering)
• Ability to translate complex data insights into concise stories and actionable recommendations

Desirable

• 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
• 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
• 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
• 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
• 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