Data Analyst - MARVEL Strike Force in Canada Creek, Nova Scotia at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst – MARVEL Strike Force based in Canada.

This is a remote opportunity to turn player and product data into insights that shape the future of a live-service mobile game. You’ll work closely with product, design, economy, live operations, marketing, and leadership teams to understand player behavior and business performance. The role combines hands-on SQL and Python analysis with reporting, experimentation, tracking, and strategic storytelling. You’ll help identify opportunities to improve engagement, retention, monetization, progression, and overall game health. Working in a fast-moving environment, you’ll balance analytical rigor with the need to make timely, practical recommendations. You’ll also have the opportunity to thoughtfully incorporate AI-enabled tools into modern analytics workflows while maintaining strong standards for data quality, privacy, and accuracy.

• 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.

• 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.

• 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.