Data Analyst - MARVEL Strike Force

Accountabilities

• • Use AI-enabled tools responsibly to accelerate data exploration, SQL/Python development, documentation, quality assurance, summarization, and insight generation while validating outputs and maintaining sound analytical judgment.
  • Partner with product, design, economy, live operations, marketing, and leadership teams to translate data into actionable recommendations that improve player engagement, retention, monetization, and long-term game health.
  • Own recurring business-health reporting, delivering KPI analyses, trend context, variance explanations, and clear executive-ready narratives explaining what changed, why it changed, and recommended next steps.
  • Analyze player behavior across onboarding, progression, live events, offers, combat modes, and other core game systems to identify risks, opportunities, and sources of player friction.
  • Design and validate analytics tracking for new features, live events, player offers, and experiments to ensure accurate measurement from launch onward.
  • Support experimentation and A/B testing by helping define appropriate metrics, evaluate statistical significance, monitor guardrail metrics, and interpret post-test results.
  • Communicate complex analytical findings through concise, compelling data stories tailored to both technical and non-technical stakeholders.
  • Work effectively in a live-service environment where priorities can shift quickly, data may be imperfect, and decisions require a combination of speed, rigor, and business judgment.

  Requirements

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline; an advanced degree is an asset.
  • At least 2 years of experience in data analytics, product analytics, business analytics, financial analysis, data science, or a comparable quantitative role.
  • At least 2 years of hands-on experience using SQL and Python, including writing complex queries across multiple data sources.
  • At least 2 years of experience creating reports and dashboards with Tableau, Looker, or a comparable business intelligence platform.
  • Practical understanding of experimentation and A/B testing, including test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation.
  • Strong analytical thinking and the ability to distinguish meaningful patterns from incomplete, noisy, or imperfect data.
  • Excellent communication and storytelling skills, with the ability to transform detailed analysis into clear and actionable recommendations.
  • Curiosity and practical interest in AI-enabled analytics tools, combined with the judgment to validate outputs, protect sensitive information, and avoid unsupported conclusions.
  • Comfortable collaborating across multiple functions and communicating effectively with both technical and non-technical stakeholders.
  • Ability to operate successfully in a fast-paced live-service environment where priorities evolve and decisions often need to be made quickly.
  • Familiarity with modern analytics technologies such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models is an asset.
  • Experience in mobile gaming and knowledge of player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, offers, events, economy health, or churn are strong advantages.
  • Genuine interest in games, particularly RPG, hero collector, strategy, or squad-based combat experiences, is a plus.
  • The submitted résumé/CV should be written in English.

  Benefits

  • Fully remote position available to candidates based in Canada.
  • Opportunity to work directly on a live-service mobile game with a highly engaged player community.
  • Cross-functional exposure to product, design, economy, live operations, marketing, and leadership teams.
  • Opportunity to influence important decisions around player engagement, retention, monetization, progression, and game health.
  • Hands-on use of modern analytics technologies, data workflows, and AI-enabled productivity tools.
  • Fast-paced environment offering the opportunity to combine rigorous analysis with real-time business and product decision-making.
  • Potential to deepen expertise in mobile gaming analytics, experimentation, player behavior, and live-service operations.
  • Opportunity to contribute to data-driven initiatives with direct impact on player experiences and product performance.