Staff Product Data Analyst (GameDev)

TL;DR

Staff Product Data Analyst (GameDev): Building and optimizing analytics for flagship game titles with an accent on evaluating player behaviour, refining monetization strategies, and architecting predictive models, revenue forecasts, and agentic workflows. Focus on end-to-end analytics, experimentation, automation, and cross-functional thought partnership to drive smarter decisions.

Location: 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.

Company

hirify.global is a live operations games company focused on making fans and delivering next-generation gaming experiences.

What you will do

• Build and maintain dashboards (DAU, player spend, content performance) 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 various game features and offers.
• Identify inefficiencies and build agentic workflows to streamline campaign planning and delivery.
• Translate complex quantitative findings into clear, actionable recommendations and mentor junior analysts.

Requirements

• 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.
• Ability to translate complex data insights into concise stories and actionable recommendations.

Nice to have

• Experience with in-game economy design or IAP configuration.
• Familiarity with A/B testing frameworks (Optimizely, Firebase, custom tooling).
• Background in automated data pipelines and agentic workflow tools.
• Master’s degree in a quantitative field (Statistics, Economics, Computer Science) or equivalent experience.

Culture & Benefits

• Competitive salary.
• Group Retirement Savings Plan matching & participation.
• Comprehensive benefits package (health, dental, and vision) including Health + Wellness spending account.
• Generous time off policies.
• Commitment to creating an inclusive and accessible environment for all candidates.